2025-09-07T07:37:34.3038456Z Current runner version: '2.328.0' 2025-09-07T07:37:34.3042845Z Runner name: 'i-0f438be8fcb74e2fd' 2025-09-07T07:37:34.3043444Z Runner group name: 'default' 2025-09-07T07:37:34.3044257Z Machine name: 'ip-10-0-41-215' 2025-09-07T07:37:34.3046256Z ##[group]GITHUB_TOKEN Permissions 2025-09-07T07:37:34.3047860Z Contents: read 2025-09-07T07:37:34.3048316Z Metadata: read 2025-09-07T07:37:34.3048786Z ##[endgroup] 2025-09-07T07:37:34.3050382Z Secret source: Actions 2025-09-07T07:37:34.3050982Z Prepare workflow directory 2025-09-07T07:37:34.3396936Z Prepare all required actions 2025-09-07T07:37:34.3426511Z Getting action download info 2025-09-07T07:37:34.5872877Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd) 2025-09-07T07:37:35.6484603Z Download action repository 'pytorch/pytorch@main' (SHA:93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:37:47.1989687Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065) 2025-09-07T07:37:47.4868479Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722) 2025-09-07T07:37:47.7455635Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076) 2025-09-07T07:37:47.8976427Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T07:37:48.1869299Z Getting action download info 2025-09-07T07:37:48.2986604Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955) 2025-09-07T07:37:48.5011687Z Getting action download info 2025-09-07T07:37:48.6019341Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e) 2025-09-07T07:37:48.8214444Z Getting action download info 2025-09-07T07:37:48.9253947Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482) 2025-09-07T07:37:49.1419486Z Getting action download info 2025-09-07T07:37:49.2977920Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634) 2025-09-07T07:37:49.2980689Z ##[group] Inputs 2025-09-07T07:37:49.2980987Z build-environment: linux-jammy-py3.9-gcc11-build 2025-09-07T07:37:49.2983350Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T07:37:49.2986301Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:37:49.2986967Z sync-tag: 2025-09-07T07:37:49.2987772Z timeout-minutes: 720 2025-09-07T07:37:49.2988024Z use-gha: 2025-09-07T07:37:49.2988560Z dashboard-tag: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:37:49.2989052Z s3-bucket: gha-artifacts 2025-09-07T07:37:49.2989279Z aws-role-to-assume: 2025-09-07T07:37:49.2989737Z disable-monitor: false 2025-09-07T07:37:49.2989999Z monitor-log-interval: 15 2025-09-07T07:37:49.2990270Z monitor-data-collect-interval: 4 2025-09-07T07:37:49.2990514Z ##[endgroup] 2025-09-07T07:37:49.2990914Z Complete job name: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T07:37:49.3793175Z A job started hook has been configured by the self-hosted runner administrator 2025-09-07T07:37:49.3866663Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh' 2025-09-07T07:37:49.3873079Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:37:49.3873473Z ##[endgroup] 2025-09-07T07:37:50.2972230Z Runner Type: linux.24xl.spr-metal 2025-09-07T07:37:50.2972624Z Instance Type: c7i.metal-24xl 2025-09-07T07:37:50.2972816Z AMI Name: unknown 2025-09-07T07:37:50.2997700Z AMI ID: ami-05ffe3c48a9991133 2025-09-07T07:37:53.9125914Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main 2025-09-07T07:37:53.9126231Z with: 2025-09-07T07:37:53.9126748Z github-secret: *** 2025-09-07T07:37:53.9127180Z instructions: All testing is done inside the container, to start an interactive session run: docker exec -it $(docker container ps --format '{{.ID}}') bash 2025-09-07T07:37:53.9127620Z activate-with-label: false 2025-09-07T07:37:53.9127806Z label: with-ssh 2025-09-07T07:37:53.9127983Z remove-existing-keys: true 2025-09-07T07:37:53.9128167Z fail-silently: true 2025-09-07T07:37:53.9128344Z env: 2025-09-07T07:37:53.9128488Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:37:53.9128672Z ##[endgroup] 2025-09-07T07:37:54.0133185Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info. 2025-09-07T07:37:54.0133756Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys 2025-09-07T07:37:54.0268289Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main 2025-09-07T07:37:54.0268559Z with: 2025-09-07T07:37:54.0268716Z no-sudo: true 2025-09-07T07:37:54.0268883Z submodules: recursive 2025-09-07T07:37:54.0269058Z fetch-depth: 0 2025-09-07T07:37:54.0269205Z env: 2025-09-07T07:37:54.0269353Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:37:54.0269530Z ##[endgroup] 2025-09-07T07:37:54.0325094Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:37:54.0325659Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:37:54.0332579Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:37:54.0332835Z env: 2025-09-07T07:37:54.0333018Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:37:54.0333234Z ##[endgroup] 2025-09-07T07:37:54.0396923Z ##[group]Run # Use all available CPUs for fetching 2025-09-07T07:37:54.0397227Z # Use all available CPUs for fetching 2025-09-07T07:37:54.0397448Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:37:54.0397660Z git config --global fetch.parallel 0 2025-09-07T07:37:54.0397901Z git config --global submodule.fetchJobs 0 2025-09-07T07:37:54.0398114Z  2025-09-07T07:37:54.0398342Z # Clean workspace. The default checkout action should also do this, but 2025-09-07T07:37:54.0398620Z # do it here as well just in case 2025-09-07T07:37:54.0398825Z if [[ -d .git ]]; then 2025-09-07T07:37:54.0399019Z  if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:37:54.0399220Z  sudo git clean -ffdx 2025-09-07T07:37:54.0399395Z  else 2025-09-07T07:37:54.0399668Z  git clean -ffdx 2025-09-07T07:37:54.0399841Z  fi 2025-09-07T07:37:54.0399987Z fi 2025-09-07T07:37:54.0404119Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:37:54.0404359Z env: 2025-09-07T07:37:54.0404601Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:37:54.0404793Z NO_SUDO: true 2025-09-07T07:37:54.0404951Z ##[endgroup] 2025-09-07T07:37:54.0501882Z ##[group]Run actions/checkout@v4 2025-09-07T07:37:54.0502113Z with: 2025-09-07T07:37:54.0502308Z ref: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:37:54.0502535Z fetch-depth: 0 2025-09-07T07:37:54.0502717Z submodules: recursive 2025-09-07T07:37:54.0502909Z show-progress: false 2025-09-07T07:37:54.0503103Z repository: pytorch/pytorch 2025-09-07T07:37:54.0503382Z token: *** 2025-09-07T07:37:54.0503554Z ssh-strict: true 2025-09-07T07:37:54.0503724Z ssh-user: git 2025-09-07T07:37:54.0503903Z persist-credentials: true 2025-09-07T07:37:54.0504092Z clean: true 2025-09-07T07:37:54.0504299Z sparse-checkout-cone-mode: true 2025-09-07T07:37:54.0504525Z fetch-tags: false 2025-09-07T07:37:54.0504695Z lfs: false 2025-09-07T07:37:54.0504871Z set-safe-directory: true 2025-09-07T07:37:54.0505065Z env: 2025-09-07T07:37:54.0505226Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:37:54.0505413Z ##[endgroup] 2025-09-07T07:37:54.1302764Z Syncing repository: pytorch/pytorch 2025-09-07T07:37:54.1303740Z ##[group]Getting Git version info 2025-09-07T07:37:54.1304063Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:37:54.1304489Z [command]/usr/bin/git version 2025-09-07T07:37:54.1467294Z git version 2.47.1 2025-09-07T07:37:54.1482194Z ##[endgroup] 2025-09-07T07:37:54.1488291Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/dcfa3101-67f0-445c-833e-84c1ee496da7/.gitconfig' 2025-09-07T07:37:54.1505748Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/dcfa3101-67f0-445c-833e-84c1ee496da7' before making global git config changes 2025-09-07T07:37:54.1506375Z Adding repository directory to the temporary git global config as a safe directory 2025-09-07T07:37:54.1509270Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:37:54.1546913Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch' 2025-09-07T07:37:54.1549083Z ##[group]Initializing the repository 2025-09-07T07:37:54.1552120Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:37:54.1600558Z hint: Using 'master' as the name for the initial branch. This default branch name 2025-09-07T07:37:54.1600917Z hint: is subject to change. To configure the initial branch name to use in all 2025-09-07T07:37:54.1601264Z hint: of your new repositories, which will suppress this warning, call: 2025-09-07T07:37:54.1601543Z hint: 2025-09-07T07:37:54.1601763Z hint: git config --global init.defaultBranch 2025-09-07T07:37:54.1601989Z hint: 2025-09-07T07:37:54.1602219Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and 2025-09-07T07:37:54.1602568Z hint: 'development'. The just-created branch can be renamed via this command: 2025-09-07T07:37:54.1602839Z hint: 2025-09-07T07:37:54.1602995Z hint: git branch -m 2025-09-07T07:37:54.1620430Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/ 2025-09-07T07:37:54.1626623Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch 2025-09-07T07:37:54.1654239Z ##[endgroup] 2025-09-07T07:37:54.1654534Z ##[group]Disabling automatic garbage collection 2025-09-07T07:37:54.1658017Z [command]/usr/bin/git config --local gc.auto 0 2025-09-07T07:37:54.1677124Z ##[endgroup] 2025-09-07T07:37:54.1677378Z ##[group]Setting up auth 2025-09-07T07:37:54.1681882Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand 2025-09-07T07:37:54.1703226Z [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' || :" 2025-09-07T07:37:54.2004511Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T07:37:54.2027954Z [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' || :" 2025-09-07T07:37:54.2269984Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:37:54.2316550Z ##[endgroup] 2025-09-07T07:37:54.2316936Z ##[group]Fetching the repository 2025-09-07T07:37:54.2321917Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/* 2025-09-07T07:38:28.2965976Z From https://github.com/pytorch/pytorch 2025-09-07T07:38:28.2966382Z * [new branch] 160583 -> origin/160583 2025-09-07T07:38:28.2966679Z * [new branch] 2.6.0.dev20241004+ -> origin/2.6.0.dev20241004+ 2025-09-07T07:38:28.2967124Z * [new branch] 5addvllmbuild -> origin/5addvllmbuild 2025-09-07T07:38:28.2967474Z * [new branch] AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest 2025-09-07T07:38:28.2967870Z * [new branch] HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes 2025-09-07T07:38:28.2968211Z * [new branch] ISSUE-154849 -> origin/ISSUE-154849 2025-09-07T07:38:28.2968576Z * [new branch] JackCaoG/dynamo_make_fx_non_core_aten_ops -> origin/JackCaoG/dynamo_make_fx_non_core_aten_ops 2025-09-07T07:38:28.2968959Z * [new branch] NicoshevSVE128 -> origin/NicoshevSVE128 2025-09-07T07:38:28.2969286Z * [new branch] PR-AOTInductorNoneBug -> origin/PR-AOTInductorNoneBug 2025-09-07T07:38:28.2969653Z * [new branch] PR-AOTInductorNoneBugFix -> origin/PR-AOTInductorNoneBugFix 2025-09-07T07:38:28.2970448Z * [new branch] PR-FixConfigsIssue -> origin/PR-FixConfigsIssue 2025-09-07T07:38:28.2970780Z * [new branch] PR-NoneBugFix-viable -> origin/PR-NoneBugFix-viable 2025-09-07T07:38:28.2971106Z * [new branch] PR-ResetToZero -> origin/PR-ResetToZero 2025-09-07T07:38:28.2971432Z * [new branch] Update-Flash-Packaging -> origin/Update-Flash-Packaging 2025-09-07T07:38:28.2971741Z * [new branch] VLA_exp -> origin/VLA_exp 2025-09-07T07:38:28.2972086Z * [new branch] actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor 2025-09-07T07:38:28.2972488Z * [new branch] add-missing-args-normalization -> origin/add-missing-args-normalization 2025-09-07T07:38:28.2972952Z * [new branch] add-user-guide-structure -> origin/add-user-guide-structure 2025-09-07T07:38:28.2973450Z * [new branch] add-vllm-nightly-build -> origin/add-vllm-nightly-build 2025-09-07T07:38:28.2974015Z * [new branch] add_compile_benchmarking -> origin/add_compile_benchmarking 2025-09-07T07:38:28.2974685Z * [new branch] addmm-heuristic -> origin/addmm-heuristic 2025-09-07T07:38:28.2975244Z * [new branch] addsimde -> origin/addsimde 2025-09-07T07:38:28.2975808Z * [new branch] addvllmtest -> origin/addvllmtest 2025-09-07T07:38:28.2976819Z * [new branch] adi/acl_upgrade -> origin/adi/acl_upgrade 2025-09-07T07:38:28.2977320Z * [new branch] adi/test -> origin/adi/test 2025-09-07T07:38:28.2977909Z * [new branch] adi/test_bgemm -> origin/adi/test_bgemm 2025-09-07T07:38:28.2978476Z * [new branch] adi/test_fusions -> origin/adi/test_fusions 2025-09-07T07:38:28.2979339Z * [new branch] adi/test_onednn_v3.9 -> origin/adi/test_onednn_v3.9 2025-09-07T07:38:28.2980093Z * [new branch] adi/test_presve_change -> origin/adi/test_presve_change 2025-09-07T07:38:28.2980408Z * [new branch] adi/test_timm -> origin/adi/test_timm 2025-09-07T07:38:28.2981267Z * [new branch] adi/testpresve_change -> origin/adi/testpresve_change 2025-09-07T07:38:28.2982455Z * [new branch] aditew01/test/vec_bf16 -> origin/aditew01/test/vec_bf16 2025-09-07T07:38:28.2983025Z * [new branch] ah-globalfeedback-hook -> origin/ah-globalfeedback-hook 2025-09-07T07:38:28.2983588Z * [new branch] alt-disable -> origin/alt-disable 2025-09-07T07:38:28.2984577Z * [new branch] angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files 2025-09-07T07:38:28.2985085Z * [new branch] angelayi/aoti_inductor_fx -> origin/angelayi/aoti_inductor_fx 2025-09-07T07:38:28.2985636Z * [new branch] angelayi/benchmark -> origin/angelayi/benchmark 2025-09-07T07:38:28.2986274Z * [new branch] angelayi/benchmark2 -> origin/angelayi/benchmark2 2025-09-07T07:38:28.2986844Z * [new branch] angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization 2025-09-07T07:38:28.2987346Z * [new branch] angelayi/cpp_loader -> origin/angelayi/cpp_loader 2025-09-07T07:38:28.2988167Z * [new branch] angelayi/custom_op_subgraph -> origin/angelayi/custom_op_subgraph 2025-09-07T07:38:28.2988792Z * [new branch] angelayi/customop -> origin/angelayi/customop 2025-09-07T07:38:28.2989775Z * [new branch] angelayi/fake_cache_empty -> origin/angelayi/fake_cache_empty 2025-09-07T07:38:28.2990311Z * [new branch] angelayi/is_symbolic_tracing -> origin/angelayi/is_symbolic_tracing 2025-09-07T07:38:28.2990816Z * [new branch] angelayi/item -> origin/angelayi/item 2025-09-07T07:38:28.2991449Z * [new branch] angelayi/no_so_weight -> origin/angelayi/no_so_weight 2025-09-07T07:38:28.2991949Z * [new branch] angelayi/opoverload -> origin/angelayi/opoverload 2025-09-07T07:38:28.2992486Z * [new branch] angelayi/pattern -> origin/angelayi/pattern 2025-09-07T07:38:28.2993066Z * [new branch] angelayi/pytree -> origin/angelayi/pytree 2025-09-07T07:38:28.2993649Z * [new branch] angelayi/scan_layers -> origin/angelayi/scan_layers 2025-09-07T07:38:28.2994211Z * [new branch] angelayi/symint_input -> origin/angelayi/symint_input 2025-09-07T07:38:28.2994767Z * [new branch] angelayi/test_cpp -> origin/angelayi/test_cpp 2025-09-07T07:38:28.2995303Z * [new branch] angelayi/torch_size -> origin/angelayi/torch_size 2025-09-07T07:38:28.2995865Z 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2025-09-07T07:38:28.6005560Z * [new branch] zxiiro/main -> origin/zxiiro/main 2025-09-07T07:38:28.6006178Z * [new tag] bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug 2025-09-07T07:38:28.6006551Z * [new tag] ci/binaries/77164 -> ci/binaries/77164 2025-09-07T07:38:28.6007113Z * [new tag] ciflow/binaries/156049 -> ciflow/binaries/156049 2025-09-07T07:38:28.6007419Z * [new tag] ciflow/binaries/156712 -> ciflow/binaries/156712 2025-09-07T07:38:28.6007693Z * [new tag] ciflow/binaries/157432 -> ciflow/binaries/157432 2025-09-07T07:38:28.6008022Z * [new tag] ciflow/binaries/157685 -> ciflow/binaries/157685 2025-09-07T07:38:28.6008345Z * [new tag] ciflow/binaries/157689 -> ciflow/binaries/157689 2025-09-07T07:38:28.6008689Z * [new tag] ciflow/binaries/158104 -> ciflow/binaries/158104 2025-09-07T07:38:28.6009110Z * [new tag] ciflow/binaries/160229 -> ciflow/binaries/160229 2025-09-07T07:38:28.6009439Z * [new tag] ciflow/binaries/160720 -> ciflow/binaries/160720 2025-09-07T07:38:28.6009788Z * [new tag] ciflow/binaries/162080 -> ciflow/binaries/162080 2025-09-07T07:38:28.6010162Z * [new tag] ciflow/binaries/162329 -> ciflow/binaries/162329 2025-09-07T07:38:28.6010942Z * [new tag] ciflow/binaries_libtorch/156049 -> ciflow/binaries_libtorch/156049 2025-09-07T07:38:28.6011211Z * [new tag] ciflow/binaries_libtorch/156711 -> ciflow/binaries_libtorch/156711 2025-09-07T07:38:28.6011504Z * [new tag] ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432 2025-09-07T07:38:28.6011903Z * [new tag] ciflow/binaries_wheel/156049 -> ciflow/binaries_wheel/156049 2025-09-07T07:38:28.6012194Z * [new tag] ciflow/binaries_wheel/156711 -> ciflow/binaries_wheel/156711 2025-09-07T07:38:28.6012483Z * [new tag] ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432 2025-09-07T07:38:28.6012898Z * [new tag] ciflow/binaries_wheel/162136 -> ciflow/binaries_wheel/162136 2025-09-07T07:38:28.6013217Z * [new tag] ciflow/binaries_wheel/162252 -> ciflow/binaries_wheel/162252 2025-09-07T07:38:28.6013558Z * [new tag] ciflow/binaries_wheel/162325 -> ciflow/binaries_wheel/162325 2025-09-07T07:38:28.6014264Z * [new tag] ciflow/h100-distributed/156703 -> ciflow/h100-distributed/156703 2025-09-07T07:38:28.6014590Z * [new tag] ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635 2025-09-07T07:38:28.6014922Z * [new tag] ciflow/h100-symm-mem/161984 -> ciflow/h100-symm-mem/161984 2025-09-07T07:38:28.6015620Z * [new tag] ciflow/h100-symm-mem/162003 -> ciflow/h100-symm-mem/162003 2025-09-07T07:38:28.6015933Z * [new tag] ciflow/h100-symm-mem/162011 -> ciflow/h100-symm-mem/162011 2025-09-07T07:38:28.6016186Z * [new tag] ciflow/h100-symm-mem/162026 -> ciflow/h100-symm-mem/162026 2025-09-07T07:38:28.6016497Z * [new tag] ciflow/h100-symm-mem/162033 -> ciflow/h100-symm-mem/162033 2025-09-07T07:38:28.6016798Z * [new tag] ciflow/h100-symm-mem/162040 -> ciflow/h100-symm-mem/162040 2025-09-07T07:38:28.6017165Z * [new tag] ciflow/h100-symm-mem/162041 -> ciflow/h100-symm-mem/162041 2025-09-07T07:38:28.6017496Z * [new tag] ciflow/h100-symm-mem/162142 -> ciflow/h100-symm-mem/162142 2025-09-07T07:38:28.6017790Z * [new tag] ciflow/h100-symm-mem/162150 -> ciflow/h100-symm-mem/162150 2025-09-07T07:38:28.6018124Z * [new tag] ciflow/h100-symm-mem/162243 -> ciflow/h100-symm-mem/162243 2025-09-07T07:38:28.6018701Z * [new tag] ciflow/h100-symm-mem/162320 -> ciflow/h100-symm-mem/162320 2025-09-07T07:38:28.6018998Z * [new tag] ciflow/h100/159158 -> ciflow/h100/159158 2025-09-07T07:38:28.6019790Z * [new tag] ciflow/h100/160480 -> ciflow/h100/160480 2025-09-07T07:38:28.6020070Z * [new tag] ciflow/h100/161749 -> ciflow/h100/161749 2025-09-07T07:38:28.6020490Z * [new tag] ciflow/h100/162022 -> ciflow/h100/162022 2025-09-07T07:38:28.6020790Z * [new tag] ciflow/h100/162278 -> ciflow/h100/162278 2025-09-07T07:38:28.6021478Z * [new tag] ciflow/inductor-perf-test-nightly-rocm/156592 -> ciflow/inductor-perf-test-nightly-rocm/156592 2025-09-07T07:38:28.6022289Z * [new tag] ciflow/inductor-perf-test-nightly/156592 -> ciflow/inductor-perf-test-nightly/156592 2025-09-07T07:38:28.6022652Z * [new tag] ciflow/inductor-periodic/162063 -> ciflow/inductor-periodic/162063 2025-09-07T07:38:28.6023318Z * [new tag] ciflow/inductor-periodic/162227 -> ciflow/inductor-periodic/162227 2025-09-07T07:38:28.6023597Z * [new tag] ciflow/inductor-periodic/162323 -> ciflow/inductor-periodic/162323 2025-09-07T07:38:28.6024241Z * [new tag] ciflow/inductor-rocm/154170 -> ciflow/inductor-rocm/154170 2025-09-07T07:38:28.6024598Z * [new tag] ciflow/inductor-rocm/159146 -> ciflow/inductor-rocm/159146 2025-09-07T07:38:28.6024924Z * [new tag] ciflow/inductor-rocm/159158 -> ciflow/inductor-rocm/159158 2025-09-07T07:38:28.6025359Z * [new tag] ciflow/inductor-rocm/161715 -> ciflow/inductor-rocm/161715 2025-09-07T07:38:28.6025769Z * [new tag] ciflow/inductor-rocm/162053 -> ciflow/inductor-rocm/162053 2025-09-07T07:38:28.6026352Z * [new tag] ciflow/inductor-rocm/162056 -> ciflow/inductor-rocm/162056 2025-09-07T07:38:28.6026808Z * [new tag] ciflow/inductor/137400 -> ciflow/inductor/137400 2025-09-07T07:38:28.6027183Z * [new tag] ciflow/inductor/148180 -> ciflow/inductor/148180 2025-09-07T07:38:28.6027427Z * [new tag] ciflow/inductor/148328 -> ciflow/inductor/148328 2025-09-07T07:38:28.6028120Z * [new tag] ciflow/inductor/148484 -> ciflow/inductor/148484 2025-09-07T07:38:28.6028335Z * [new tag] ciflow/inductor/148492 -> ciflow/inductor/148492 2025-09-07T07:38:28.6028674Z * [new tag] ciflow/inductor/152624 -> ciflow/inductor/152624 2025-09-07T07:38:28.6029014Z * [new tag] ciflow/inductor/154694 -> ciflow/inductor/154694 2025-09-07T07:38:28.6029387Z * [new tag] ciflow/inductor/156049 -> ciflow/inductor/156049 2025-09-07T07:38:28.6029653Z * [new tag] ciflow/inductor/156592 -> ciflow/inductor/156592 2025-09-07T07:38:28.6029963Z * [new tag] ciflow/inductor/157635 -> ciflow/inductor/157635 2025-09-07T07:38:28.6030353Z * [new tag] ciflow/inductor/157685 -> ciflow/inductor/157685 2025-09-07T07:38:28.6030754Z * [new tag] ciflow/inductor/157686 -> ciflow/inductor/157686 2025-09-07T07:38:28.6031314Z * [new tag] ciflow/inductor/157689 -> ciflow/inductor/157689 2025-09-07T07:38:28.6031675Z * [new tag] ciflow/inductor/157699 -> ciflow/inductor/157699 2025-09-07T07:38:28.6032081Z * [new tag] ciflow/inductor/157743 -> ciflow/inductor/157743 2025-09-07T07:38:28.6032474Z * [new tag] ciflow/inductor/157994 -> ciflow/inductor/157994 2025-09-07T07:38:28.6032774Z * [new tag] ciflow/inductor/158091 -> ciflow/inductor/158091 2025-09-07T07:38:28.6033130Z * [new tag] ciflow/inductor/158104 -> ciflow/inductor/158104 2025-09-07T07:38:28.6033557Z * [new tag] ciflow/inductor/158404 -> ciflow/inductor/158404 2025-09-07T07:38:28.6033877Z * [new tag] ciflow/inductor/158647 -> ciflow/inductor/158647 2025-09-07T07:38:28.6034317Z * [new tag] ciflow/inductor/158932 -> ciflow/inductor/158932 2025-09-07T07:38:28.6034684Z * [new tag] ciflow/inductor/159146 -> ciflow/inductor/159146 2025-09-07T07:38:28.6035010Z * [new tag] ciflow/inductor/159158 -> ciflow/inductor/159158 2025-09-07T07:38:28.6035450Z * [new tag] ciflow/inductor/159274 -> ciflow/inductor/159274 2025-09-07T07:38:28.6035820Z * [new tag] ciflow/inductor/159664 -> ciflow/inductor/159664 2025-09-07T07:38:28.6036287Z * [new tag] ciflow/inductor/159778 -> ciflow/inductor/159778 2025-09-07T07:38:28.6036600Z * [new tag] ciflow/inductor/159835 -> ciflow/inductor/159835 2025-09-07T07:38:28.6037085Z * [new tag] ciflow/inductor/159944 -> ciflow/inductor/159944 2025-09-07T07:38:28.6037668Z * [new tag] ciflow/inductor/160161 -> ciflow/inductor/160161 2025-09-07T07:38:28.6038038Z * [new tag] ciflow/inductor/160174 -> ciflow/inductor/160174 2025-09-07T07:38:28.6038601Z * [new tag] ciflow/inductor/160323 -> ciflow/inductor/160323 2025-09-07T07:38:28.6039134Z * [new tag] ciflow/inductor/160324 -> ciflow/inductor/160324 2025-09-07T07:38:28.6039525Z * [new tag] ciflow/inductor/160325 -> ciflow/inductor/160325 2025-09-07T07:38:28.6040043Z * [new tag] ciflow/inductor/160326 -> ciflow/inductor/160326 2025-09-07T07:38:28.6040365Z * [new tag] ciflow/inductor/160327 -> ciflow/inductor/160327 2025-09-07T07:38:28.6040754Z * [new tag] ciflow/inductor/160328 -> ciflow/inductor/160328 2025-09-07T07:38:28.6041175Z * [new tag] ciflow/inductor/160329 -> ciflow/inductor/160329 2025-09-07T07:38:28.6041554Z * [new tag] ciflow/inductor/160480 -> ciflow/inductor/160480 2025-09-07T07:38:28.6041965Z * [new tag] ciflow/inductor/160532 -> ciflow/inductor/160532 2025-09-07T07:38:28.6042895Z * [new tag] ciflow/inductor/160539 -> ciflow/inductor/160539 2025-09-07T07:38:28.6043133Z * [new tag] ciflow/inductor/160580 -> ciflow/inductor/160580 2025-09-07T07:38:28.6043487Z * [new tag] ciflow/inductor/160685 -> ciflow/inductor/160685 2025-09-07T07:38:28.6043819Z * [new tag] ciflow/inductor/160686 -> ciflow/inductor/160686 2025-09-07T07:38:28.6044173Z * [new tag] ciflow/inductor/160687 -> ciflow/inductor/160687 2025-09-07T07:38:28.6044531Z * [new tag] ciflow/inductor/160688 -> ciflow/inductor/160688 2025-09-07T07:38:28.6044849Z * [new tag] ciflow/inductor/160690 -> ciflow/inductor/160690 2025-09-07T07:38:28.6045219Z * [new tag] ciflow/inductor/160706 -> ciflow/inductor/160706 2025-09-07T07:38:28.6045577Z * [new tag] ciflow/inductor/160729 -> ciflow/inductor/160729 2025-09-07T07:38:28.6045949Z * [new tag] ciflow/inductor/160798 -> ciflow/inductor/160798 2025-09-07T07:38:28.6046353Z * [new tag] ciflow/inductor/160836 -> ciflow/inductor/160836 2025-09-07T07:38:28.6046732Z * [new tag] ciflow/inductor/160843 -> ciflow/inductor/160843 2025-09-07T07:38:28.6047347Z * [new tag] ciflow/inductor/160869 -> ciflow/inductor/160869 2025-09-07T07:38:28.6047588Z * [new tag] ciflow/inductor/160920 -> ciflow/inductor/160920 2025-09-07T07:38:28.6047945Z * [new tag] ciflow/inductor/160928 -> ciflow/inductor/160928 2025-09-07T07:38:28.6048293Z * [new tag] ciflow/inductor/160943 -> ciflow/inductor/160943 2025-09-07T07:38:28.6048666Z * [new tag] ciflow/inductor/161092 -> ciflow/inductor/161092 2025-09-07T07:38:28.6049121Z * [new tag] ciflow/inductor/161093 -> ciflow/inductor/161093 2025-09-07T07:38:28.6049525Z * [new tag] ciflow/inductor/161109 -> ciflow/inductor/161109 2025-09-07T07:38:28.6049928Z * [new tag] ciflow/inductor/161118 -> ciflow/inductor/161118 2025-09-07T07:38:28.6050571Z * [new tag] ciflow/inductor/161178 -> ciflow/inductor/161178 2025-09-07T07:38:28.6050842Z * [new tag] ciflow/inductor/161246 -> ciflow/inductor/161246 2025-09-07T07:38:28.6051195Z * [new tag] ciflow/inductor/161349 -> ciflow/inductor/161349 2025-09-07T07:38:28.6051544Z * [new tag] ciflow/inductor/161350 -> ciflow/inductor/161350 2025-09-07T07:38:28.6051870Z * [new tag] ciflow/inductor/161351 -> ciflow/inductor/161351 2025-09-07T07:38:28.6052301Z * [new tag] ciflow/inductor/161397 -> ciflow/inductor/161397 2025-09-07T07:38:28.6052694Z * [new tag] ciflow/inductor/161404 -> ciflow/inductor/161404 2025-09-07T07:38:28.6053014Z * [new tag] ciflow/inductor/161405 -> ciflow/inductor/161405 2025-09-07T07:38:28.6053749Z * [new tag] ciflow/inductor/161406 -> ciflow/inductor/161406 2025-09-07T07:38:28.6054142Z * [new tag] ciflow/inductor/161410 -> ciflow/inductor/161410 2025-09-07T07:38:28.6054465Z * [new tag] ciflow/inductor/161414 -> ciflow/inductor/161414 2025-09-07T07:38:28.6055062Z * [new tag] ciflow/inductor/161442 -> ciflow/inductor/161442 2025-09-07T07:38:28.6055339Z * [new tag] ciflow/inductor/161458 -> ciflow/inductor/161458 2025-09-07T07:38:28.6055646Z * [new tag] ciflow/inductor/161468 -> ciflow/inductor/161468 2025-09-07T07:38:28.6056033Z * [new tag] ciflow/inductor/161469 -> ciflow/inductor/161469 2025-09-07T07:38:28.6056477Z * [new tag] ciflow/inductor/161485 -> ciflow/inductor/161485 2025-09-07T07:38:28.6056776Z * [new tag] ciflow/inductor/161499 -> ciflow/inductor/161499 2025-09-07T07:38:28.6057078Z * [new tag] ciflow/inductor/161534 -> ciflow/inductor/161534 2025-09-07T07:38:28.6057417Z * [new tag] ciflow/inductor/161595 -> ciflow/inductor/161595 2025-09-07T07:38:28.6057749Z * [new tag] ciflow/inductor/161596 -> ciflow/inductor/161596 2025-09-07T07:38:28.6058532Z * [new tag] ciflow/inductor/161630 -> ciflow/inductor/161630 2025-09-07T07:38:28.6058777Z * [new tag] ciflow/inductor/161667 -> ciflow/inductor/161667 2025-09-07T07:38:28.6059213Z * [new tag] ciflow/inductor/161670 -> ciflow/inductor/161670 2025-09-07T07:38:28.6059555Z * [new tag] ciflow/inductor/161673 -> ciflow/inductor/161673 2025-09-07T07:38:28.6060067Z * [new tag] ciflow/inductor/161674 -> ciflow/inductor/161674 2025-09-07T07:38:28.6060239Z * [new tag] ciflow/inductor/161675 -> ciflow/inductor/161675 2025-09-07T07:38:28.6060563Z * [new tag] ciflow/inductor/161693 -> ciflow/inductor/161693 2025-09-07T07:38:28.6060950Z * [new tag] ciflow/inductor/161695 -> ciflow/inductor/161695 2025-09-07T07:38:28.6061246Z * [new tag] ciflow/inductor/161715 -> ciflow/inductor/161715 2025-09-07T07:38:28.6061890Z * [new tag] ciflow/inductor/161730 -> ciflow/inductor/161730 2025-09-07T07:38:28.6062103Z * [new tag] ciflow/inductor/161732 -> ciflow/inductor/161732 2025-09-07T07:38:28.6062540Z * [new tag] ciflow/inductor/161744 -> ciflow/inductor/161744 2025-09-07T07:38:28.6062905Z * [new tag] ciflow/inductor/161746 -> ciflow/inductor/161746 2025-09-07T07:38:28.6063220Z * [new tag] ciflow/inductor/161747 -> ciflow/inductor/161747 2025-09-07T07:38:28.6063609Z * [new tag] ciflow/inductor/161819 -> ciflow/inductor/161819 2025-09-07T07:38:28.6063876Z * [new tag] ciflow/inductor/161821 -> ciflow/inductor/161821 2025-09-07T07:38:28.6064249Z * [new tag] ciflow/inductor/161828 -> ciflow/inductor/161828 2025-09-07T07:38:28.6064559Z * [new tag] ciflow/inductor/161879 -> ciflow/inductor/161879 2025-09-07T07:38:28.6064933Z * [new tag] ciflow/inductor/161880 -> ciflow/inductor/161880 2025-09-07T07:38:28.6065262Z * [new tag] ciflow/inductor/161881 -> ciflow/inductor/161881 2025-09-07T07:38:28.6065899Z * [new tag] ciflow/inductor/161907 -> ciflow/inductor/161907 2025-09-07T07:38:28.6066059Z * [new tag] ciflow/inductor/161914 -> ciflow/inductor/161914 2025-09-07T07:38:28.6066473Z * [new tag] ciflow/inductor/161924 -> ciflow/inductor/161924 2025-09-07T07:38:28.6066854Z * [new tag] ciflow/inductor/161936 -> ciflow/inductor/161936 2025-09-07T07:38:28.6067199Z * [new tag] ciflow/inductor/161938 -> ciflow/inductor/161938 2025-09-07T07:38:28.6067556Z * [new tag] ciflow/inductor/161939 -> ciflow/inductor/161939 2025-09-07T07:38:28.6067938Z * [new tag] ciflow/inductor/161940 -> ciflow/inductor/161940 2025-09-07T07:38:28.6068251Z * [new tag] ciflow/inductor/161955 -> ciflow/inductor/161955 2025-09-07T07:38:28.6068651Z * [new tag] ciflow/inductor/161957 -> ciflow/inductor/161957 2025-09-07T07:38:28.6068932Z * [new tag] ciflow/inductor/161975 -> ciflow/inductor/161975 2025-09-07T07:38:28.6069280Z * [new tag] ciflow/inductor/161977 -> ciflow/inductor/161977 2025-09-07T07:38:28.6069615Z * [new tag] ciflow/inductor/161978 -> ciflow/inductor/161978 2025-09-07T07:38:28.6070032Z * [new tag] ciflow/inductor/161979 -> ciflow/inductor/161979 2025-09-07T07:38:28.6070297Z * [new tag] ciflow/inductor/161980 -> ciflow/inductor/161980 2025-09-07T07:38:28.6070623Z * [new tag] ciflow/inductor/161988 -> ciflow/inductor/161988 2025-09-07T07:38:28.6070977Z * [new tag] ciflow/inductor/161994 -> ciflow/inductor/161994 2025-09-07T07:38:28.6071372Z * [new tag] ciflow/inductor/162013 -> ciflow/inductor/162013 2025-09-07T07:38:28.6071647Z * [new tag] ciflow/inductor/162014 -> ciflow/inductor/162014 2025-09-07T07:38:28.6072156Z * [new tag] ciflow/inductor/162017 -> ciflow/inductor/162017 2025-09-07T07:38:28.6072439Z * [new tag] ciflow/inductor/162021 -> ciflow/inductor/162021 2025-09-07T07:38:28.6072809Z * [new tag] ciflow/inductor/162023 -> ciflow/inductor/162023 2025-09-07T07:38:28.6073226Z * [new tag] ciflow/inductor/162027 -> ciflow/inductor/162027 2025-09-07T07:38:28.6073521Z * [new tag] ciflow/inductor/162029 -> ciflow/inductor/162029 2025-09-07T07:38:28.6073905Z * [new tag] ciflow/inductor/162030 -> ciflow/inductor/162030 2025-09-07T07:38:28.6074207Z * [new tag] ciflow/inductor/162031 -> ciflow/inductor/162031 2025-09-07T07:38:28.6074572Z * [new tag] ciflow/inductor/162033 -> ciflow/inductor/162033 2025-09-07T07:38:28.6075055Z * [new tag] ciflow/inductor/162052 -> ciflow/inductor/162052 2025-09-07T07:38:28.6075384Z * [new tag] ciflow/inductor/162053 -> ciflow/inductor/162053 2025-09-07T07:38:28.6075707Z * [new tag] ciflow/inductor/162056 -> ciflow/inductor/162056 2025-09-07T07:38:28.6076079Z * [new tag] ciflow/inductor/162063 -> ciflow/inductor/162063 2025-09-07T07:38:28.6076402Z * [new tag] ciflow/inductor/162066 -> ciflow/inductor/162066 2025-09-07T07:38:28.6076759Z * [new tag] ciflow/inductor/162068 -> ciflow/inductor/162068 2025-09-07T07:38:28.6077514Z * [new tag] ciflow/inductor/162081 -> ciflow/inductor/162081 2025-09-07T07:38:28.6077823Z * [new tag] ciflow/inductor/162088 -> ciflow/inductor/162088 2025-09-07T07:38:28.6078178Z * [new tag] ciflow/inductor/162089 -> ciflow/inductor/162089 2025-09-07T07:38:28.6078499Z * [new tag] ciflow/inductor/162094 -> ciflow/inductor/162094 2025-09-07T07:38:28.6078850Z * [new tag] ciflow/inductor/162098 -> ciflow/inductor/162098 2025-09-07T07:38:28.6079187Z * [new tag] ciflow/inductor/162101 -> ciflow/inductor/162101 2025-09-07T07:38:28.6079551Z * [new tag] ciflow/inductor/162102 -> ciflow/inductor/162102 2025-09-07T07:38:28.6079863Z * [new tag] ciflow/inductor/162104 -> ciflow/inductor/162104 2025-09-07T07:38:28.6080268Z * [new tag] ciflow/inductor/162106 -> ciflow/inductor/162106 2025-09-07T07:38:28.6080572Z * [new tag] ciflow/inductor/162108 -> ciflow/inductor/162108 2025-09-07T07:38:28.6080935Z * [new tag] ciflow/inductor/162126 -> ciflow/inductor/162126 2025-09-07T07:38:28.6081559Z * [new tag] ciflow/inductor/162149 -> ciflow/inductor/162149 2025-09-07T07:38:28.6081782Z * [new tag] ciflow/inductor/162164 -> ciflow/inductor/162164 2025-09-07T07:38:28.6081995Z * [new tag] ciflow/inductor/162166 -> ciflow/inductor/162166 2025-09-07T07:38:28.6082333Z * [new tag] ciflow/inductor/162169 -> ciflow/inductor/162169 2025-09-07T07:38:28.6082826Z * [new tag] ciflow/inductor/162170 -> ciflow/inductor/162170 2025-09-07T07:38:28.6083202Z * [new tag] ciflow/inductor/162171 -> ciflow/inductor/162171 2025-09-07T07:38:28.6083525Z * [new tag] ciflow/inductor/162183 -> ciflow/inductor/162183 2025-09-07T07:38:28.6083849Z * [new tag] ciflow/inductor/162189 -> ciflow/inductor/162189 2025-09-07T07:38:28.6084144Z * [new tag] ciflow/inductor/162190 -> ciflow/inductor/162190 2025-09-07T07:38:28.6084502Z * [new tag] ciflow/inductor/162191 -> ciflow/inductor/162191 2025-09-07T07:38:28.6084913Z * [new tag] ciflow/inductor/162194 -> ciflow/inductor/162194 2025-09-07T07:38:28.6085462Z * [new tag] ciflow/inductor/162200 -> ciflow/inductor/162200 2025-09-07T07:38:28.6085738Z * [new tag] ciflow/inductor/162201 -> ciflow/inductor/162201 2025-09-07T07:38:28.6086049Z * [new tag] ciflow/inductor/162208 -> ciflow/inductor/162208 2025-09-07T07:38:28.6086609Z * [new tag] ciflow/inductor/162211 -> ciflow/inductor/162211 2025-09-07T07:38:28.6086829Z * [new tag] ciflow/inductor/162216 -> ciflow/inductor/162216 2025-09-07T07:38:28.6087142Z * [new tag] ciflow/inductor/162220 -> ciflow/inductor/162220 2025-09-07T07:38:28.6087556Z * [new tag] ciflow/inductor/162222 -> ciflow/inductor/162222 2025-09-07T07:38:28.6087890Z * [new tag] ciflow/inductor/162227 -> ciflow/inductor/162227 2025-09-07T07:38:28.6088247Z * [new tag] ciflow/inductor/162238 -> ciflow/inductor/162238 2025-09-07T07:38:28.6088565Z * [new tag] ciflow/inductor/162239 -> ciflow/inductor/162239 2025-09-07T07:38:28.6088930Z * [new tag] ciflow/inductor/162240 -> ciflow/inductor/162240 2025-09-07T07:38:28.6089251Z * [new tag] ciflow/inductor/162244 -> ciflow/inductor/162244 2025-09-07T07:38:28.6089624Z * [new tag] ciflow/inductor/162245 -> ciflow/inductor/162245 2025-09-07T07:38:28.6089975Z * [new tag] ciflow/inductor/162262 -> ciflow/inductor/162262 2025-09-07T07:38:28.6090328Z * [new tag] ciflow/inductor/162275 -> ciflow/inductor/162275 2025-09-07T07:38:28.6090671Z * [new tag] ciflow/inductor/162278 -> ciflow/inductor/162278 2025-09-07T07:38:28.6091010Z * [new tag] ciflow/inductor/162284 -> ciflow/inductor/162284 2025-09-07T07:38:28.6091364Z * [new tag] ciflow/inductor/162286 -> ciflow/inductor/162286 2025-09-07T07:38:28.6091658Z * [new tag] ciflow/inductor/162288 -> ciflow/inductor/162288 2025-09-07T07:38:28.6092005Z * [new tag] ciflow/inductor/162293 -> ciflow/inductor/162293 2025-09-07T07:38:28.6092363Z * [new tag] ciflow/inductor/162294 -> ciflow/inductor/162294 2025-09-07T07:38:28.6092728Z * [new tag] ciflow/inductor/162295 -> ciflow/inductor/162295 2025-09-07T07:38:28.6093077Z * [new tag] ciflow/inductor/162296 -> ciflow/inductor/162296 2025-09-07T07:38:28.6093643Z * [new tag] ciflow/inductor/162298 -> ciflow/inductor/162298 2025-09-07T07:38:28.6093886Z * [new tag] ciflow/inductor/162307 -> ciflow/inductor/162307 2025-09-07T07:38:28.6094263Z * [new tag] ciflow/inductor/162309 -> ciflow/inductor/162309 2025-09-07T07:38:28.6094621Z * [new tag] ciflow/inductor/162311 -> ciflow/inductor/162311 2025-09-07T07:38:28.6094932Z * [new tag] ciflow/inductor/162312 -> ciflow/inductor/162312 2025-09-07T07:38:28.6095297Z * [new tag] ciflow/inductor/162315 -> ciflow/inductor/162315 2025-09-07T07:38:28.6095641Z * [new tag] ciflow/inductor/162316 -> ciflow/inductor/162316 2025-09-07T07:38:28.6096021Z * [new tag] ciflow/inductor/162318 -> ciflow/inductor/162318 2025-09-07T07:38:28.6096389Z * [new tag] ciflow/inductor/162323 -> ciflow/inductor/162323 2025-09-07T07:38:28.6096733Z * [new tag] ciflow/inductor/162341 -> ciflow/inductor/162341 2025-09-07T07:38:28.6097036Z * [new tag] ciflow/inductor/162345 -> ciflow/inductor/162345 2025-09-07T07:38:28.6097585Z * [new tag] ciflow/inductor/3b9a386 -> ciflow/inductor/3b9a386 2025-09-07T07:38:28.6098023Z * [new tag] ciflow/inductor/3d4b92b -> ciflow/inductor/3d4b92b 2025-09-07T07:38:28.6098445Z * [new tag] ciflow/inductor/d224ac7 -> ciflow/inductor/d224ac7 2025-09-07T07:38:28.6099037Z * [new tag] ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994 2025-09-07T07:38:28.6099221Z * [new tag] ciflow/linux-aarch64/159737 -> ciflow/linux-aarch64/159737 2025-09-07T07:38:28.6099576Z * [new tag] ciflow/linux-aarch64/160078 -> ciflow/linux-aarch64/160078 2025-09-07T07:38:28.6100010Z * [new tag] ciflow/mps/157553 -> ciflow/mps/157553 2025-09-07T07:38:28.6100330Z * [new tag] ciflow/mps/157635 -> ciflow/mps/157635 2025-09-07T07:38:28.6100629Z * [new tag] ciflow/mps/161988 -> ciflow/mps/161988 2025-09-07T07:38:28.6100977Z * [new tag] ciflow/mps/162108 -> ciflow/mps/162108 2025-09-07T07:38:28.6101272Z * [new tag] ciflow/mps/162153 -> ciflow/mps/162153 2025-09-07T07:38:28.6101561Z * [new tag] ciflow/mps/162281 -> ciflow/mps/162281 2025-09-07T07:38:28.6102018Z * [new tag] ciflow/nightly/156049 -> ciflow/nightly/156049 2025-09-07T07:38:28.6102356Z * [new tag] ciflow/nightly/158104 -> ciflow/nightly/158104 2025-09-07T07:38:28.6102841Z * [new tag] ciflow/op-benchmark/157994 -> ciflow/op-benchmark/157994 2025-09-07T07:38:28.6103283Z * [new tag] ciflow/periodic-rocm-mi300/161529 -> ciflow/periodic-rocm-mi300/161529 2025-09-07T07:38:28.6103680Z * [new tag] ciflow/periodic-rocm-mi300/161715 -> ciflow/periodic-rocm-mi300/161715 2025-09-07T07:38:28.6104221Z * [new tag] ciflow/periodic/054a2fd -> ciflow/periodic/054a2fd 2025-09-07T07:38:28.6104631Z * [new tag] ciflow/periodic/156703 -> ciflow/periodic/156703 2025-09-07T07:38:28.6104926Z * [new tag] ciflow/periodic/161715 -> ciflow/periodic/161715 2025-09-07T07:38:28.6105272Z * [new tag] ciflow/periodic/162021 -> ciflow/periodic/162021 2025-09-07T07:38:28.6105604Z * [new tag] ciflow/periodic/162323 -> ciflow/periodic/162323 2025-09-07T07:38:28.6106039Z * [new tag] ciflow/periodic/2a6d37d -> ciflow/periodic/2a6d37d 2025-09-07T07:38:28.6106527Z * [new tag] ciflow/periodic/317eeb8 -> ciflow/periodic/317eeb8 2025-09-07T07:38:28.6106926Z * [new tag] ciflow/periodic/3c32 -> ciflow/periodic/3c32 2025-09-07T07:38:28.6107360Z * [new tag] ciflow/periodic/3e98831 -> ciflow/periodic/3e98831 2025-09-07T07:38:28.6108020Z * [new tag] ciflow/periodic/94512-point -> ciflow/periodic/94512-point 2025-09-07T07:38:28.6108453Z * [new tag] ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519 2025-09-07T07:38:28.6109174Z * [new tag] ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275 2025-09-07T07:38:28.6109624Z * [new tag] ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761 2025-09-07T07:38:28.6110090Z * [new tag] ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12 2025-09-07T07:38:28.6110727Z * [new tag] ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0 2025-09-07T07:38:28.6111184Z * [new tag] ciflow/periodic/sha-ec5b83 -> ciflow/periodic/sha-ec5b83 2025-09-07T07:38:28.6111560Z * [new tag] ciflow/rocm-mi300/154170 -> ciflow/rocm-mi300/154170 2025-09-07T07:38:28.6111955Z * [new tag] ciflow/rocm-mi300/158747 -> ciflow/rocm-mi300/158747 2025-09-07T07:38:28.6112710Z * [new tag] ciflow/rocm-mi300/159146 -> ciflow/rocm-mi300/159146 2025-09-07T07:38:28.6112934Z * [new tag] ciflow/rocm-mi300/159158 -> ciflow/rocm-mi300/159158 2025-09-07T07:38:28.6113308Z * [new tag] ciflow/rocm-mi300/161715 -> ciflow/rocm-mi300/161715 2025-09-07T07:38:28.6113609Z * [new tag] ciflow/rocm-mi300/161957 -> ciflow/rocm-mi300/161957 2025-09-07T07:38:28.6113949Z * [new tag] ciflow/rocm-mi300/162053 -> ciflow/rocm-mi300/162053 2025-09-07T07:38:28.6114249Z * [new tag] ciflow/rocm-mi300/162056 -> ciflow/rocm-mi300/162056 2025-09-07T07:38:28.6114652Z * [new tag] ciflow/rocm-mi300/162112 -> ciflow/rocm-mi300/162112 2025-09-07T07:38:28.6115004Z * [new tag] ciflow/rocm-mi300/162245 -> ciflow/rocm-mi300/162245 2025-09-07T07:38:28.6115278Z * [new tag] ciflow/rocm-mi300/162278 -> ciflow/rocm-mi300/162278 2025-09-07T07:38:28.6115721Z * [new tag] ciflow/rocm-mi300/162288 -> ciflow/rocm-mi300/162288 2025-09-07T07:38:28.6116158Z * [new tag] ciflow/rocm-mi355/162053 -> ciflow/rocm-mi355/162053 2025-09-07T07:38:28.6116471Z * [new tag] ciflow/rocm-mi355/162056 -> ciflow/rocm-mi355/162056 2025-09-07T07:38:28.6117103Z * [new tag] ciflow/rocm/148492 -> ciflow/rocm/148492 2025-09-07T07:38:28.6117367Z * [new tag] ciflow/rocm/154170 -> ciflow/rocm/154170 2025-09-07T07:38:28.6117816Z * [new tag] ciflow/rocm/156491 -> ciflow/rocm/156491 2025-09-07T07:38:28.6118114Z * [new tag] ciflow/rocm/156592 -> ciflow/rocm/156592 2025-09-07T07:38:28.6118534Z * [new tag] ciflow/rocm/158747 -> ciflow/rocm/158747 2025-09-07T07:38:28.6118803Z * [new tag] ciflow/rocm/159146 -> ciflow/rocm/159146 2025-09-07T07:38:28.6119383Z * [new tag] ciflow/rocm/159158 -> ciflow/rocm/159158 2025-09-07T07:38:28.6119656Z * [new tag] ciflow/rocm/161715 -> ciflow/rocm/161715 2025-09-07T07:38:28.6120019Z * [new tag] ciflow/rocm/161972 -> ciflow/rocm/161972 2025-09-07T07:38:28.6120346Z * [new tag] ciflow/rocm/162052 -> ciflow/rocm/162052 2025-09-07T07:38:28.6120628Z * [new tag] ciflow/rocm/162053 -> ciflow/rocm/162053 2025-09-07T07:38:28.6121051Z * [new tag] ciflow/rocm/162056 -> ciflow/rocm/162056 2025-09-07T07:38:28.6121567Z * [new tag] ciflow/rocm/162112 -> ciflow/rocm/162112 2025-09-07T07:38:28.6121932Z * [new tag] ciflow/rocm/162278 -> ciflow/rocm/162278 2025-09-07T07:38:28.6122293Z * [new tag] ciflow/rocm/162288 -> ciflow/rocm/162288 2025-09-07T07:38:28.6122600Z * [new tag] ciflow/rocm/162305 -> ciflow/rocm/162305 2025-09-07T07:38:28.6123235Z * [new tag] ciflow/slow/01c7106 -> ciflow/slow/01c7106 2025-09-07T07:38:28.6123566Z * [new tag] ciflow/slow/0577043 -> ciflow/slow/0577043 2025-09-07T07:38:28.6124192Z * [new tag] ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym 2025-09-07T07:38:28.6124451Z * [new tag] ciflow/slow/0e81104 -> ciflow/slow/0e81104 2025-09-07T07:38:28.6124737Z * [new tag] ciflow/slow/161395 -> ciflow/slow/161395 2025-09-07T07:38:28.6125171Z * [new tag] ciflow/slow/1732077 -> ciflow/slow/1732077 2025-09-07T07:38:28.6125745Z * [new tag] ciflow/slow/187eb7c -> ciflow/slow/187eb7c 2025-09-07T07:38:28.6126029Z * [new tag] ciflow/slow/1faef89 -> ciflow/slow/1faef89 2025-09-07T07:38:28.6126711Z * [new tag] ciflow/slow/3920ec1 -> ciflow/slow/3920ec1 2025-09-07T07:38:28.6127114Z * [new tag] ciflow/slow/3b7c6b2 -> ciflow/slow/3b7c6b2 2025-09-07T07:38:28.6127548Z * [new tag] ciflow/slow/59a3759 -> ciflow/slow/59a3759 2025-09-07T07:38:28.6127965Z * [new tag] ciflow/slow/70ef0bb -> ciflow/slow/70ef0bb 2025-09-07T07:38:28.6128765Z * [new tag] ciflow/slow/788ff06 -> ciflow/slow/788ff06 2025-09-07T07:38:28.6129637Z * [new tag] ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym 2025-09-07T07:38:28.6129876Z * [new tag] ciflow/slow/9d85864 -> ciflow/slow/9d85864 2025-09-07T07:38:28.6130265Z * [new tag] ciflow/slow/9ffad5b -> ciflow/slow/9ffad5b 2025-09-07T07:38:28.6130676Z * [new tag] ciflow/slow/a206e8b -> ciflow/slow/a206e8b 2025-09-07T07:38:28.6131101Z * [new tag] ciflow/slow/a837609 -> ciflow/slow/a837609 2025-09-07T07:38:28.6131653Z * [new tag] ciflow/slow/af841f3 -> ciflow/slow/af841f3 2025-09-07T07:38:28.6132440Z * [new tag] ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym 2025-09-07T07:38:28.6132632Z * [new tag] ciflow/triton_binaries/162329 -> ciflow/triton_binaries/162329 2025-09-07T07:38:28.6133030Z * [new tag] ciflow/trunk/113258 -> ciflow/trunk/113258 2025-09-07T07:38:28.6133339Z * [new tag] ciflow/trunk/137400 -> ciflow/trunk/137400 2025-09-07T07:38:28.6133726Z * [new tag] ciflow/trunk/148180 -> ciflow/trunk/148180 2025-09-07T07:38:28.6133948Z * [new tag] ciflow/trunk/148328 -> ciflow/trunk/148328 2025-09-07T07:38:28.6134330Z * [new tag] ciflow/trunk/148492 -> ciflow/trunk/148492 2025-09-07T07:38:28.6134924Z * [new tag] ciflow/trunk/148919 -> ciflow/trunk/148919 2025-09-07T07:38:28.6135417Z * [new tag] ciflow/trunk/152624 -> ciflow/trunk/152624 2025-09-07T07:38:28.6135707Z * [new tag] ciflow/trunk/154170 -> ciflow/trunk/154170 2025-09-07T07:38:28.6136038Z * [new tag] ciflow/trunk/154694 -> ciflow/trunk/154694 2025-09-07T07:38:28.6136383Z * [new tag] ciflow/trunk/156049 -> ciflow/trunk/156049 2025-09-07T07:38:28.6136686Z * [new tag] ciflow/trunk/156703 -> ciflow/trunk/156703 2025-09-07T07:38:28.6137135Z * [new tag] ciflow/trunk/156711 -> ciflow/trunk/156711 2025-09-07T07:38:28.6137698Z * [new tag] ciflow/trunk/157432 -> ciflow/trunk/157432 2025-09-07T07:38:28.6138001Z * [new tag] ciflow/trunk/157685 -> ciflow/trunk/157685 2025-09-07T07:38:28.6138329Z * [new tag] ciflow/trunk/157689 -> ciflow/trunk/157689 2025-09-07T07:38:28.6138657Z * [new tag] ciflow/trunk/157699 -> ciflow/trunk/157699 2025-09-07T07:38:28.6138994Z * [new tag] ciflow/trunk/157813 -> ciflow/trunk/157813 2025-09-07T07:38:28.6139362Z * [new tag] ciflow/trunk/157994 -> ciflow/trunk/157994 2025-09-07T07:38:28.6139687Z * [new tag] ciflow/trunk/158091 -> ciflow/trunk/158091 2025-09-07T07:38:28.6140052Z * [new tag] ciflow/trunk/158104 -> ciflow/trunk/158104 2025-09-07T07:38:28.6140372Z * [new tag] ciflow/trunk/158404 -> ciflow/trunk/158404 2025-09-07T07:38:28.6140925Z * [new tag] ciflow/trunk/158647 -> ciflow/trunk/158647 2025-09-07T07:38:28.6141351Z * [new tag] ciflow/trunk/158846 -> ciflow/trunk/158846 2025-09-07T07:38:28.6141650Z * [new tag] ciflow/trunk/159158 -> ciflow/trunk/159158 2025-09-07T07:38:28.6142091Z * [new tag] ciflow/trunk/159682 -> ciflow/trunk/159682 2025-09-07T07:38:28.6142382Z * [new tag] ciflow/trunk/159835 -> ciflow/trunk/159835 2025-09-07T07:38:28.6142736Z * [new tag] ciflow/trunk/160161 -> ciflow/trunk/160161 2025-09-07T07:38:28.6143100Z * [new tag] ciflow/trunk/160236 -> ciflow/trunk/160236 2025-09-07T07:38:28.6143503Z * [new tag] ciflow/trunk/160329 -> ciflow/trunk/160329 2025-09-07T07:38:28.6143818Z * [new tag] ciflow/trunk/160480 -> ciflow/trunk/160480 2025-09-07T07:38:28.6144147Z * [new tag] ciflow/trunk/160532 -> ciflow/trunk/160532 2025-09-07T07:38:28.6144532Z * [new tag] ciflow/trunk/160836 -> ciflow/trunk/160836 2025-09-07T07:38:28.6144818Z * [new tag] ciflow/trunk/160843 -> ciflow/trunk/160843 2025-09-07T07:38:28.6145175Z * [new tag] ciflow/trunk/160869 -> ciflow/trunk/160869 2025-09-07T07:38:28.6145511Z * [new tag] ciflow/trunk/160928 -> ciflow/trunk/160928 2025-09-07T07:38:28.6145903Z * [new tag] ciflow/trunk/160940 -> ciflow/trunk/160940 2025-09-07T07:38:28.6146220Z * [new tag] ciflow/trunk/160943 -> ciflow/trunk/160943 2025-09-07T07:38:28.6146767Z * [new tag] ciflow/trunk/160953 -> ciflow/trunk/160953 2025-09-07T07:38:28.6147113Z * [new tag] ciflow/trunk/161035 -> ciflow/trunk/161035 2025-09-07T07:38:28.6147444Z * [new tag] ciflow/trunk/161178 -> ciflow/trunk/161178 2025-09-07T07:38:28.6147789Z * [new tag] ciflow/trunk/161349 -> ciflow/trunk/161349 2025-09-07T07:38:28.6148131Z * [new tag] ciflow/trunk/161350 -> ciflow/trunk/161350 2025-09-07T07:38:28.6148502Z * [new tag] ciflow/trunk/161351 -> ciflow/trunk/161351 2025-09-07T07:38:28.6152350Z * [new tag] ciflow/trunk/161395 -> ciflow/trunk/161395 2025-09-07T07:38:28.6152645Z * [new tag] ciflow/trunk/161405 -> ciflow/trunk/161405 2025-09-07T07:38:28.6153000Z * [new tag] ciflow/trunk/161406 -> ciflow/trunk/161406 2025-09-07T07:38:28.6153368Z * [new tag] ciflow/trunk/161410 -> ciflow/trunk/161410 2025-09-07T07:38:28.6153716Z * [new tag] ciflow/trunk/161468 -> ciflow/trunk/161468 2025-09-07T07:38:28.6154018Z * [new tag] ciflow/trunk/161499 -> ciflow/trunk/161499 2025-09-07T07:38:28.6154685Z * [new tag] ciflow/trunk/161527 -> ciflow/trunk/161527 2025-09-07T07:38:28.6154951Z * [new tag] ciflow/trunk/161534 -> ciflow/trunk/161534 2025-09-07T07:38:28.6155417Z * [new tag] ciflow/trunk/161591 -> ciflow/trunk/161591 2025-09-07T07:38:28.6155749Z * [new tag] ciflow/trunk/161595 -> ciflow/trunk/161595 2025-09-07T07:38:28.6156062Z * [new tag] ciflow/trunk/161596 -> ciflow/trunk/161596 2025-09-07T07:38:28.6156423Z * [new tag] ciflow/trunk/161633 -> ciflow/trunk/161633 2025-09-07T07:38:28.6156733Z * [new tag] ciflow/trunk/161634 -> ciflow/trunk/161634 2025-09-07T07:38:28.6157049Z * [new tag] ciflow/trunk/161635 -> ciflow/trunk/161635 2025-09-07T07:38:28.6157398Z * [new tag] ciflow/trunk/161667 -> ciflow/trunk/161667 2025-09-07T07:38:28.6157704Z * [new tag] ciflow/trunk/161670 -> ciflow/trunk/161670 2025-09-07T07:38:28.6158105Z * [new tag] ciflow/trunk/161692 -> ciflow/trunk/161692 2025-09-07T07:38:28.6158497Z * [new tag] ciflow/trunk/161693 -> ciflow/trunk/161693 2025-09-07T07:38:28.6158855Z * [new tag] ciflow/trunk/161695 -> ciflow/trunk/161695 2025-09-07T07:38:28.6159185Z * [new tag] ciflow/trunk/161730 -> ciflow/trunk/161730 2025-09-07T07:38:28.6159493Z * [new tag] ciflow/trunk/161744 -> ciflow/trunk/161744 2025-09-07T07:38:28.6159847Z * [new tag] ciflow/trunk/161749 -> ciflow/trunk/161749 2025-09-07T07:38:28.6160157Z * [new tag] ciflow/trunk/161881 -> ciflow/trunk/161881 2025-09-07T07:38:28.6160521Z * [new tag] ciflow/trunk/161924 -> ciflow/trunk/161924 2025-09-07T07:38:28.6160957Z * [new tag] ciflow/trunk/161926 -> ciflow/trunk/161926 2025-09-07T07:38:28.6161479Z * [new tag] ciflow/trunk/161936 -> ciflow/trunk/161936 2025-09-07T07:38:28.6161621Z * [new tag] ciflow/trunk/161952 -> ciflow/trunk/161952 2025-09-07T07:38:28.6162339Z * [new tag] ciflow/trunk/161955 -> ciflow/trunk/161955 2025-09-07T07:38:28.6162632Z * [new tag] ciflow/trunk/161957 -> ciflow/trunk/161957 2025-09-07T07:38:28.6162958Z * [new tag] ciflow/trunk/161959 -> ciflow/trunk/161959 2025-09-07T07:38:28.6163258Z * [new tag] ciflow/trunk/161977 -> ciflow/trunk/161977 2025-09-07T07:38:28.6163634Z * [new tag] ciflow/trunk/161988 -> ciflow/trunk/161988 2025-09-07T07:38:28.6163947Z * [new tag] ciflow/trunk/161994 -> ciflow/trunk/161994 2025-09-07T07:38:28.6164377Z * [new tag] ciflow/trunk/162007 -> ciflow/trunk/162007 2025-09-07T07:38:28.6164701Z * [new tag] ciflow/trunk/162013 -> ciflow/trunk/162013 2025-09-07T07:38:28.6165074Z * [new tag] ciflow/trunk/162017 -> ciflow/trunk/162017 2025-09-07T07:38:28.6165382Z * [new tag] ciflow/trunk/162021 -> ciflow/trunk/162021 2025-09-07T07:38:28.6165919Z * [new tag] ciflow/trunk/162022 -> ciflow/trunk/162022 2025-09-07T07:38:28.6166218Z * [new tag] ciflow/trunk/162040 -> ciflow/trunk/162040 2025-09-07T07:38:28.6166540Z * [new tag] ciflow/trunk/162041 -> ciflow/trunk/162041 2025-09-07T07:38:28.6166950Z * [new tag] ciflow/trunk/162062 -> ciflow/trunk/162062 2025-09-07T07:38:28.6167307Z * [new tag] ciflow/trunk/162066 -> ciflow/trunk/162066 2025-09-07T07:38:28.6167616Z * [new tag] ciflow/trunk/162089 -> ciflow/trunk/162089 2025-09-07T07:38:28.6167961Z * [new tag] ciflow/trunk/162099 -> ciflow/trunk/162099 2025-09-07T07:38:28.6168288Z * [new tag] ciflow/trunk/162104 -> ciflow/trunk/162104 2025-09-07T07:38:28.6168609Z * [new tag] ciflow/trunk/162106 -> ciflow/trunk/162106 2025-09-07T07:38:28.6168956Z * [new tag] ciflow/trunk/162112 -> ciflow/trunk/162112 2025-09-07T07:38:28.6169345Z * [new tag] ciflow/trunk/162119 -> ciflow/trunk/162119 2025-09-07T07:38:28.6169671Z * [new tag] ciflow/trunk/162142 -> ciflow/trunk/162142 2025-09-07T07:38:28.6170072Z * [new tag] ciflow/trunk/162169 -> ciflow/trunk/162169 2025-09-07T07:38:28.6170389Z * [new tag] ciflow/trunk/162183 -> ciflow/trunk/162183 2025-09-07T07:38:28.6170752Z * [new tag] ciflow/trunk/162190 -> ciflow/trunk/162190 2025-09-07T07:38:28.6171067Z * [new tag] ciflow/trunk/162194 -> ciflow/trunk/162194 2025-09-07T07:38:28.6171419Z * [new tag] ciflow/trunk/162200 -> ciflow/trunk/162200 2025-09-07T07:38:28.6171802Z * [new tag] ciflow/trunk/162206 -> ciflow/trunk/162206 2025-09-07T07:38:28.6172220Z * [new tag] ciflow/trunk/162208 -> ciflow/trunk/162208 2025-09-07T07:38:28.6172476Z * [new tag] ciflow/trunk/162222 -> ciflow/trunk/162222 2025-09-07T07:38:28.6172773Z * [new tag] ciflow/trunk/162238 -> ciflow/trunk/162238 2025-09-07T07:38:28.6173104Z * [new tag] ciflow/trunk/162244 -> ciflow/trunk/162244 2025-09-07T07:38:28.6173701Z * [new tag] ciflow/trunk/162267 -> ciflow/trunk/162267 2025-09-07T07:38:28.6173990Z * [new tag] ciflow/trunk/162269 -> ciflow/trunk/162269 2025-09-07T07:38:28.6174344Z * [new tag] ciflow/trunk/162278 -> ciflow/trunk/162278 2025-09-07T07:38:28.6174767Z * [new tag] ciflow/trunk/162286 -> ciflow/trunk/162286 2025-09-07T07:38:28.6175151Z * [new tag] ciflow/trunk/162288 -> ciflow/trunk/162288 2025-09-07T07:38:28.6175413Z * [new tag] ciflow/trunk/162293 -> ciflow/trunk/162293 2025-09-07T07:38:28.6175761Z * [new tag] ciflow/trunk/162310 -> ciflow/trunk/162310 2025-09-07T07:38:28.6176316Z * [new tag] ciflow/trunk/162311 -> ciflow/trunk/162311 2025-09-07T07:38:28.6176545Z * [new tag] ciflow/trunk/162315 -> ciflow/trunk/162315 2025-09-07T07:38:28.6176895Z * [new tag] ciflow/trunk/162325 -> ciflow/trunk/162325 2025-09-07T07:38:28.6177315Z * [new tag] ciflow/trunk/162328 -> ciflow/trunk/162328 2025-09-07T07:38:28.6177656Z * [new tag] ciflow/trunk/162329 -> ciflow/trunk/162329 2025-09-07T07:38:28.6178308Z * [new tag] ciflow/unstable/123 -> ciflow/unstable/123 2025-09-07T07:38:28.6178633Z * [new tag] ciflow/vllm/162292 -> ciflow/vllm/162292 2025-09-07T07:38:28.6179463Z * [new tag] ciflow/win-arm64/156049 -> ciflow/win-arm64/156049 2025-09-07T07:38:28.6179694Z * [new tag] ciflow/win-arm64/158104 -> ciflow/win-arm64/158104 2025-09-07T07:38:28.6180134Z * [new tag] ciflow/xpu/157699 -> ciflow/xpu/157699 2025-09-07T07:38:28.6180442Z * [new tag] ciflow/xpu/157994 -> ciflow/xpu/157994 2025-09-07T07:38:28.6181005Z * [new tag] ciflow/xpu/159459 -> ciflow/xpu/159459 2025-09-07T07:38:28.6181232Z * [new tag] ciflow/xpu/159718 -> ciflow/xpu/159718 2025-09-07T07:38:28.6181575Z * [new tag] ciflow/xpu/159944 -> ciflow/xpu/159944 2025-09-07T07:38:28.6181978Z * [new tag] ciflow/xpu/160867 -> ciflow/xpu/160867 2025-09-07T07:38:28.6182351Z * [new tag] ciflow/xpu/160938 -> ciflow/xpu/160938 2025-09-07T07:38:28.6182706Z * [new tag] ciflow/xpu/160940 -> ciflow/xpu/160940 2025-09-07T07:38:28.6183013Z * [new tag] ciflow/xpu/160953 -> ciflow/xpu/160953 2025-09-07T07:38:28.6183371Z * [new tag] ciflow/xpu/161045 -> ciflow/xpu/161045 2025-09-07T07:38:28.6183964Z * [new tag] ciflow/xpu/161058 -> ciflow/xpu/161058 2025-09-07T07:38:28.6184382Z * [new tag] ciflow/xpu/161246 -> ciflow/xpu/161246 2025-09-07T07:38:28.6184931Z * [new tag] ciflow/xpu/161397 -> ciflow/xpu/161397 2025-09-07T07:38:28.6185302Z * [new tag] ciflow/xpu/161485 -> ciflow/xpu/161485 2025-09-07T07:38:28.6185617Z * [new tag] ciflow/xpu/161988 -> ciflow/xpu/161988 2025-09-07T07:38:28.6185933Z * [new tag] ciflow/xpu/162062 -> ciflow/xpu/162062 2025-09-07T07:38:28.6186492Z * [new tag] cslpull75 -> cslpull75 2025-09-07T07:38:28.6186789Z * [new tag] cslpull76 -> cslpull76 2025-09-07T07:38:28.6187205Z * [new tag] cslpull77 -> cslpull77 2025-09-07T07:38:28.6187599Z * [new tag] cslpull78 -> cslpull78 2025-09-07T07:38:28.6188305Z * [new tag] cslpull79 -> cslpull79 2025-09-07T07:38:28.6188850Z * [new tag] cslpull80 -> cslpull80 2025-09-07T07:38:28.6189198Z * [new tag] cslpull81 -> cslpull81 2025-09-07T07:38:28.6189746Z * [new tag] cslpull82 -> cslpull82 2025-09-07T07:38:28.6190108Z * [new tag] cslpull83 -> cslpull83 2025-09-07T07:38:28.6190529Z * [new tag] cslpull84 -> cslpull84 2025-09-07T07:38:28.6190918Z * [new tag] cslpull85 -> cslpull85 2025-09-07T07:38:28.6191407Z * [new tag] cslpull86 -> cslpull86 2025-09-07T07:38:28.6191760Z * [new tag] cslpull87 -> cslpull87 2025-09-07T07:38:28.6192250Z * [new tag] cslpull88 -> cslpull88 2025-09-07T07:38:28.6192639Z * [new tag] cslpull89 -> cslpull89 2025-09-07T07:38:28.6192945Z * [new tag] cslpull90 -> cslpull90 2025-09-07T07:38:28.6193750Z * [new tag] cslpull91 -> cslpull91 2025-09-07T07:38:28.6194093Z * [new tag] cslpull92 -> cslpull92 2025-09-07T07:38:28.6194695Z * [new tag] flight_5 -> flight_5 2025-09-07T07:38:28.6195136Z * [new tag] flight_5.1 -> flight_5.1 2025-09-07T07:38:28.6195682Z * [new tag] flight_5.2 -> flight_5.2 2025-09-07T07:38:28.6195977Z * [new tag] flight_5.3 -> flight_5.3 2025-09-07T07:38:28.6196378Z * [new tag] forpull1 -> forpull1 2025-09-07T07:38:28.6196977Z * [new tag] malfet/tag-2ef5611 -> malfet/tag-2ef5611 2025-09-07T07:38:28.6197428Z * [new tag] malfet/tag-317b1a0 -> malfet/tag-317b1a0 2025-09-07T07:38:28.6197825Z * [new tag] malfet/tag-ec6f767 -> malfet/tag-ec6f767 2025-09-07T07:38:28.6198433Z * [new tag] nightly-binary -> nightly-binary 2025-09-07T07:38:28.6198641Z * [new tag] sqzhang_flight4_plus -> sqzhang_flight4_plus 2025-09-07T07:38:28.6199252Z * [new tag] sqzhang_flight_3 -> sqzhang_flight_3 2025-09-07T07:38:28.6199805Z * [new tag] trunk/00636e0171e7e733628c408084805442270cf608 -> trunk/00636e0171e7e733628c408084805442270cf608 2025-09-07T07:38:28.6200305Z * [new tag] trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 -> trunk/019fed39aa6b2dd8c69347378d53423e5efae8d4 2025-09-07T07:38:28.6200908Z * [new tag] trunk/01ab325cc2e0dc221af4d710974e1b9175066544 -> trunk/01ab325cc2e0dc221af4d710974e1b9175066544 2025-09-07T07:38:28.6201397Z * [new tag] trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b -> trunk/01edcd4df8bf0c7b4cc2d3ec868bd2059eeea83b 2025-09-07T07:38:28.6201879Z * [new tag] trunk/040d00af048967dde7938d358d7f5988cbd18388 -> trunk/040d00af048967dde7938d358d7f5988cbd18388 2025-09-07T07:38:28.6202579Z * [new tag] trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 -> trunk/0447f2d99b4351b2ff129dce6eebb371024f73e5 2025-09-07T07:38:28.6202972Z * [new tag] trunk/047603d35bdc70046216384838d6340feab79bf4 -> trunk/047603d35bdc70046216384838d6340feab79bf4 2025-09-07T07:38:28.6203457Z * [new tag] trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 -> trunk/06da7c0730b3764f178ec3a90dedf4ffa4202d81 2025-09-07T07:38:28.6204005Z * [new tag] trunk/081cab045472ce045634548cc6c14a4870641e23 -> trunk/081cab045472ce045634548cc6c14a4870641e23 2025-09-07T07:38:28.6204395Z * [new tag] trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 -> trunk/09587daf8c9f21f5340f73921ce5f23d1a4a4572 2025-09-07T07:38:28.6204832Z * [new tag] trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 -> trunk/09be1890d72cc34fc946965dc4a27736bf0ca8c6 2025-09-07T07:38:28.6205245Z * [new tag] trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 -> trunk/09d2f1b6315d6d416fbf452793d65795863ebc66 2025-09-07T07:38:28.6205670Z * [new tag] trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 -> trunk/0af70e2353e1dcda83175fd4834ecb7b63e009e0 2025-09-07T07:38:28.6206627Z * [new tag] trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 -> trunk/0c0e056a9e20c17271a6144dd32c0c7e3ba26736 2025-09-07T07:38:28.6207092Z * [new tag] trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 -> trunk/0cd6c56bdfa9178ff61be82ce3b178926ddb64a9 2025-09-07T07:38:28.6207419Z * [new tag] trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c -> trunk/0d421ace32c1605ee8e452ee1eeb03bd243dd96c 2025-09-07T07:38:28.6207959Z * [new tag] trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 -> trunk/0d71a9dd5b4b6d1dde58d91c9b71d96bc6a6a171 2025-09-07T07:38:28.6208368Z * [new tag] trunk/0d84ff3b78f55492d3d4708458c92d776274939e -> trunk/0d84ff3b78f55492d3d4708458c92d776274939e 2025-09-07T07:38:28.6208755Z * [new tag] trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 -> trunk/0f45aaf4414048b17d720d0915ce221a8de8ec63 2025-09-07T07:38:28.6209275Z * [new tag] trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f -> trunk/0ff8eabf1387de5acd6712a03bda61f1a3dfa27f 2025-09-07T07:38:28.6209704Z * [new tag] trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f -> trunk/104f2680e03d13a4765ca69f905d8f16fc0c822f 2025-09-07T07:38:28.6210157Z * [new tag] trunk/12814701555d3e41dfcdf8f9273af5821e322df0 -> trunk/12814701555d3e41dfcdf8f9273af5821e322df0 2025-09-07T07:38:28.6210586Z * [new tag] trunk/13b65196db422bdb394cb482e208c61ed448898c -> trunk/13b65196db422bdb394cb482e208c61ed448898c 2025-09-07T07:38:28.6211004Z * [new tag] trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 -> trunk/13d66e2a66eceed14b8a8f5a971087df4f688a46 2025-09-07T07:38:28.6211391Z * [new tag] trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 -> trunk/145a3a7bda15e3963a33eb1b54bba5d4a270b225 2025-09-07T07:38:28.6211866Z * [new tag] trunk/146371483318e17929daefd37c8e459d9d6d47bb -> trunk/146371483318e17929daefd37c8e459d9d6d47bb 2025-09-07T07:38:28.6212267Z * [new tag] trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 -> trunk/15c77a8cfd341e74fd124b077492ef2bfa51b339 2025-09-07T07:38:28.6212708Z * [new tag] trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 -> trunk/17fa8eec4a1e32939ab4d364ee6e75487a79b654 2025-09-07T07:38:28.6213679Z * [new tag] trunk/190c391a28845a14df26abb228d26aa813efb20c -> trunk/190c391a28845a14df26abb228d26aa813efb20c 2025-09-07T07:38:28.6214141Z * [new tag] trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 -> trunk/1a588ace4667bde1331fbd8ed957157dca5cee68 2025-09-07T07:38:28.6214584Z * [new tag] trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 -> trunk/1aa7476885e8f6e7b0ec3a5b6383aad9d3f343e7 2025-09-07T07:38:28.6214898Z * [new tag] trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 -> trunk/1aeb421c342c9e9607842f4c87cb46e8e816ee53 2025-09-07T07:38:28.6215344Z * [new tag] trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a -> trunk/1c1b28d5b6a942fafe23b2f09302d93c25226d4a 2025-09-07T07:38:28.6215763Z * [new tag] trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 -> trunk/1ebd70d0c0d562d3be9abdee2a21906584af7d99 2025-09-07T07:38:28.6216503Z * [new tag] trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 -> trunk/1ec2c15914da4ef7bd926ed9aebc8671c75fe965 2025-09-07T07:38:28.6216833Z * [new tag] trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a -> trunk/1f51056bd64e73d1aa81321bc3c098575b1bc78a 2025-09-07T07:38:28.6217289Z * [new tag] trunk/1f820de639c75a1562d3fb03f160439f853ae07b -> trunk/1f820de639c75a1562d3fb03f160439f853ae07b 2025-09-07T07:38:28.6217706Z * [new tag] trunk/204697f0e695d82894c5010fbec664c4391f90cc -> trunk/204697f0e695d82894c5010fbec664c4391f90cc 2025-09-07T07:38:28.6218135Z * [new tag] trunk/20629b1619fe636227d01fc85ba221daa7185a05 -> trunk/20629b1619fe636227d01fc85ba221daa7185a05 2025-09-07T07:38:28.6218549Z * [new tag] trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 -> trunk/20b47acef845e9c4f71da9429a396d293f50ebe7 2025-09-07T07:38:28.6218988Z * [new tag] trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd -> trunk/20bfb2539d7c5250379648eda35f80b8a7d642dd 2025-09-07T07:38:28.6219509Z * [new tag] trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 -> trunk/21fae99c180d17def562797ea0fb154d8fdf88e3 2025-09-07T07:38:28.6219939Z * [new tag] trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f -> trunk/248355faf53f9f7ba2fd0a367d59600c6d991e7f 2025-09-07T07:38:28.6220364Z * [new tag] trunk/25f4aaed9ec26f39c13862323ff8582006473d23 -> trunk/25f4aaed9ec26f39c13862323ff8582006473d23 2025-09-07T07:38:28.6221174Z * [new tag] trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 -> trunk/261a84a1764412f8e659c956e3f81997ec3de9d5 2025-09-07T07:38:28.6221629Z * [new tag] trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f -> trunk/28f4ab0737937858730f29f5c4e601e109cf9d5f 2025-09-07T07:38:28.6222091Z * [new tag] trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 -> trunk/291cd11f2d5df6f48d348cce0e4e762f274f4dc4 2025-09-07T07:38:28.6222503Z * [new tag] trunk/29280864d941e6108ab57f7298f520c0cf9696e9 -> trunk/29280864d941e6108ab57f7298f520c0cf9696e9 2025-09-07T07:38:28.6223004Z * [new tag] trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 -> trunk/2a45837e98c63cae9d1a2e2133a727b829e549d5 2025-09-07T07:38:28.6223423Z * [new tag] trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef -> trunk/2a5c0785e2f975697fd7bdf1411de6e03dcaa1ef 2025-09-07T07:38:28.6223863Z * [new tag] trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c -> trunk/2b8a83901c58a0858ea9e4ce00055f48e6ed164c 2025-09-07T07:38:28.6224345Z * [new tag] trunk/2ba65472dd54488a86a50326ea990195fc6732d6 -> trunk/2ba65472dd54488a86a50326ea990195fc6732d6 2025-09-07T07:38:28.6224765Z * [new tag] trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 -> trunk/2c03f0acc53ed13fe8ebfe809129f25996e009a0 2025-09-07T07:38:28.6225162Z * [new tag] trunk/2dd529df0092799f68ee7afcf52338276906706a -> trunk/2dd529df0092799f68ee7afcf52338276906706a 2025-09-07T07:38:28.6225655Z * [new tag] trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 -> trunk/2f6b4b1ad3f82bb3bd984f6e65744ea339ffb8b5 2025-09-07T07:38:28.6226077Z * [new tag] trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 -> trunk/2fa0520a64ed8aa734a56c4d124958f0b5711ca8 2025-09-07T07:38:28.6226486Z * [new tag] trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 -> trunk/302df2ac5dc4222294c09d48804a2dddb8f4bad8 2025-09-07T07:38:28.6226889Z * [new tag] trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 -> trunk/33028597bfa2e0178e28c8cce33cb9b3800cac43 2025-09-07T07:38:28.6227253Z * [new tag] trunk/34aa78274d6770086025a967fa63a86830e08176 -> trunk/34aa78274d6770086025a967fa63a86830e08176 2025-09-07T07:38:28.6227689Z * [new tag] trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 -> trunk/3559c354ce6a14d11fe29fb12fa2747a2f2af449 2025-09-07T07:38:28.6228046Z * [new tag] trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b -> trunk/36d207fcaaede0d1e58a5168084c307b32b6fd8b 2025-09-07T07:38:28.6228343Z * [new tag] trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 -> trunk/377033757ae5ca524ea842f1b0a5f446ed3d8fe0 2025-09-07T07:38:28.6228757Z * [new tag] trunk/3771380f83fcac154a7c89ad679311d8c4818287 -> trunk/3771380f83fcac154a7c89ad679311d8c4818287 2025-09-07T07:38:28.6229406Z * [new tag] trunk/3a207816cc569f78863d86c01f2a3d265350e39f -> trunk/3a207816cc569f78863d86c01f2a3d265350e39f 2025-09-07T07:38:28.6229742Z * [new tag] trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 -> trunk/3a20a20e7065ec927fdd216d4da3b04f879b3c67 2025-09-07T07:38:28.6230245Z * [new tag] trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 -> trunk/3bbc2e3e4f025523eaa5dbff220b3e96bca608d0 2025-09-07T07:38:28.6230619Z * [new tag] trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f -> trunk/3c0ff1b569c45cfa6935ad8031a9d4cf1551aa3f 2025-09-07T07:38:28.6231071Z * [new tag] trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf -> trunk/3c45af079afc92a03b03ddf4f9198902ffcf30cf 2025-09-07T07:38:28.6231456Z * [new tag] trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 -> trunk/3dde5d7f9bf80dd6623a712bc429e9e4302464b5 2025-09-07T07:38:28.6231918Z * [new tag] trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d -> trunk/403a3a393cda7e60f503f3b04b8805a845dcf45d 2025-09-07T07:38:28.6232336Z * [new tag] trunk/420c52ecf36f86d32da0853bfbe074b682b070aa -> trunk/420c52ecf36f86d32da0853bfbe074b682b070aa 2025-09-07T07:38:28.6232738Z * [new tag] trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 -> trunk/43b7c86a2c0f91320f5c5f4827b111edff06fdb6 2025-09-07T07:38:28.6233150Z * [new tag] trunk/451ed931562ec8b46d1f7e6c266a68132a119336 -> trunk/451ed931562ec8b46d1f7e6c266a68132a119336 2025-09-07T07:38:28.6233558Z * [new tag] trunk/480c7391126656154318fabf1d57ebc01e196e63 -> trunk/480c7391126656154318fabf1d57ebc01e196e63 2025-09-07T07:38:28.6234005Z * [new tag] trunk/48bedd753da22634aa94fbafeb731e82025404f3 -> trunk/48bedd753da22634aa94fbafeb731e82025404f3 2025-09-07T07:38:28.6234339Z * [new tag] trunk/494878a11b79071ada0b98f34042d47155be6d1c -> trunk/494878a11b79071ada0b98f34042d47155be6d1c 2025-09-07T07:38:28.6234800Z * [new tag] trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 -> trunk/4ae57d448c0a7d37e4cfd5c27d977fad2cef4051 2025-09-07T07:38:28.6235222Z * [new tag] trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf -> trunk/4cdaf8265d86f984254b62052da8c26ef61ef1cf 2025-09-07T07:38:28.6235568Z * [new tag] trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e -> trunk/4d4abec80f03cd8fdefe1d9cb3a60d3690cd777e 2025-09-07T07:38:28.6236055Z * [new tag] trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 -> trunk/4e42aa8ffc44b8340eb0eeaf80a2cafc4763a186 2025-09-07T07:38:28.6236475Z * [new tag] trunk/4f72d932feee0749397fec876dcd43994f50b215 -> trunk/4f72d932feee0749397fec876dcd43994f50b215 2025-09-07T07:38:28.6236948Z * [new tag] trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d -> trunk/50fc22dedf3c4a27be61fa05551c4f320281b42d 2025-09-07T07:38:28.6237412Z * [new tag] trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 -> trunk/5211f1f908907ffc064b56e43cf8659f7fc22aa9 2025-09-07T07:38:28.6237905Z * [new tag] trunk/524b78d4f67045b83bb69edc56ab16efe282971c -> trunk/524b78d4f67045b83bb69edc56ab16efe282971c 2025-09-07T07:38:28.6238343Z * [new tag] trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 -> trunk/54e275e0d81fe1e1ccfa4fb5f2a5a9aaca00ca15 2025-09-07T07:38:28.6238721Z * [new tag] trunk/5561e45758d59c94605873d5db48ed459c004c3b -> trunk/5561e45758d59c94605873d5db48ed459c004c3b 2025-09-07T07:38:28.6239391Z * [new tag] trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 -> trunk/57278d45f046d4f89f45d373b1af4dd56934ff24 2025-09-07T07:38:28.6239672Z * [new tag] trunk/5927a70934ccf7b70182d364c23245a7dd685503 -> trunk/5927a70934ccf7b70182d364c23245a7dd685503 2025-09-07T07:38:28.6240129Z * [new tag] trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 -> trunk/5985e28912aeb40b103ebfcf2fd0665eb4a50599 2025-09-07T07:38:28.6240602Z * [new tag] trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 -> trunk/5a2da090ed6db88bb657c4e51ec0b310cd08bff6 2025-09-07T07:38:28.6241021Z * [new tag] trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 -> trunk/5c473e9f5ee0ef0fc38e6cf34a95b547f8cdc8d5 2025-09-07T07:38:28.6241436Z * [new tag] trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 -> trunk/5c67426d6847667a7c55a2dd01f470fa37238c18 2025-09-07T07:38:28.6242148Z * [new tag] trunk/5da573c42c332bc68d4b7946c69f690a876d951a -> trunk/5da573c42c332bc68d4b7946c69f690a876d951a 2025-09-07T07:38:28.6242550Z * [new tag] trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 -> trunk/5e5870e858f60ff4bf87d03f3592097e934a9580 2025-09-07T07:38:28.6242913Z * [new tag] trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 -> trunk/5f3cbc9442aa55b5afb29f4ac8ca9be569003e84 2025-09-07T07:38:28.6243345Z * [new tag] trunk/600c25e9a17fe56e3dee872be8854db08916ba0c -> trunk/600c25e9a17fe56e3dee872be8854db08916ba0c 2025-09-07T07:38:28.6243788Z * [new tag] trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 -> trunk/601ae8e4831fc8123fffcfb8fd2e6b6381b42e14 2025-09-07T07:38:28.6244223Z * [new tag] trunk/6087ef41e54c2494b117ffd923faf20f515a6806 -> trunk/6087ef41e54c2494b117ffd923faf20f515a6806 2025-09-07T07:38:28.6244663Z * [new tag] trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 -> trunk/626cb7df8161dd4ecb4fe43b60f37ce9076f56b1 2025-09-07T07:38:28.6245061Z * [new tag] trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 -> trunk/62c3f9a97fd3dea7132a93066d32d893ffe101e6 2025-09-07T07:38:28.6245505Z * [new tag] trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 -> trunk/63a9c23fe99eacfd09610c36dfe8f01b053c1a35 2025-09-07T07:38:28.6245932Z * [new tag] trunk/65985937d97505f648b6ed852c3129f2dd08b251 -> trunk/65985937d97505f648b6ed852c3129f2dd08b251 2025-09-07T07:38:28.6246861Z * [new tag] trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 -> trunk/66f3b4a682a6153517dd23369fdc3289b6494b07 2025-09-07T07:38:28.6247092Z * [new tag] trunk/6737e2c996990024187ba620d2764f3b6f6add2c -> trunk/6737e2c996990024187ba620d2764f3b6f6add2c 2025-09-07T07:38:28.6247576Z * [new tag] trunk/67c31dcd364f10072a55f4a30ffd1151c686283a -> trunk/67c31dcd364f10072a55f4a30ffd1151c686283a 2025-09-07T07:38:28.6247994Z * [new tag] trunk/68738beff73e9c3512e18b4edea811a897ce42db -> trunk/68738beff73e9c3512e18b4edea811a897ce42db 2025-09-07T07:38:28.6248480Z * [new tag] trunk/69a25f68884a168550695fdb1a7c310c54d29536 -> trunk/69a25f68884a168550695fdb1a7c310c54d29536 2025-09-07T07:38:28.6248883Z * [new tag] trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f -> trunk/6b1900c22f1a07b9519346898d4c71d8a2b0f12f 2025-09-07T07:38:28.6249723Z * [new tag] trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 -> trunk/6b8b3ac4403f771bd4a8f9a45d93347304148774 2025-09-07T07:38:28.6250083Z * [new tag] trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b -> trunk/6f7608d603834d6068b2e7a5d59bec3973b6bb1b 2025-09-07T07:38:28.6250965Z * [new tag] trunk/70d36e047dfb3488fd6335016711a784d810ebda -> trunk/70d36e047dfb3488fd6335016711a784d810ebda 2025-09-07T07:38:28.6251276Z * [new tag] trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b -> trunk/71992dd805ff9d6763f77214dfe8b0465e88c87b 2025-09-07T07:38:28.6251501Z * [new tag] trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 -> trunk/734ce8eba9c69381f187359bf0fef1d71d84cd20 2025-09-07T07:38:28.6251845Z * [new tag] trunk/73eb4511fb863a37944342b7e92aae706de603c8 -> trunk/73eb4511fb863a37944342b7e92aae706de603c8 2025-09-07T07:38:28.6252718Z * [new tag] trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b -> trunk/75bc23cfc345bd4c05e7f97c416c4b3d2d1fa64b 2025-09-07T07:38:28.6252935Z * [new tag] trunk/771f369448321a387f2018535bc8b8b6e5f12fab -> trunk/771f369448321a387f2018535bc8b8b6e5f12fab 2025-09-07T07:38:28.6254291Z * [new tag] trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 -> trunk/789d4942127143f2adcb53612c058ce4c9a2cf20 2025-09-07T07:38:28.6254524Z * [new tag] trunk/791eff96c85678c950888f9da24650083ee673fe -> trunk/791eff96c85678c950888f9da24650083ee673fe 2025-09-07T07:38:28.6254763Z * [new tag] trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 -> trunk/793fc12aff1f69fbbf9f4278182fb52bbe350fc9 2025-09-07T07:38:28.6254999Z * [new tag] trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 -> trunk/79fcd5247a9a129eee526a14df30bfc6a22b3f01 2025-09-07T07:38:28.6255418Z * [new tag] trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 -> trunk/7f4ff79210eb06924f223ae3a1941ee0e2635348 2025-09-07T07:38:28.6255648Z * [new tag] trunk/8076a185c85112be62be292eb47409c88a585b1c -> trunk/8076a185c85112be62be292eb47409c88a585b1c 2025-09-07T07:38:28.6255870Z * [new tag] trunk/80dd397f1979371a5583fa3d5c7352029522a78d -> trunk/80dd397f1979371a5583fa3d5c7352029522a78d 2025-09-07T07:38:28.6256072Z * [new tag] trunk/8171d6052ec12628eb67e0040839314056014429 -> trunk/8171d6052ec12628eb67e0040839314056014429 2025-09-07T07:38:28.6256559Z * [new tag] trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 -> trunk/81aeefa657b7ccc26b275c50a9f33b2f056e8071 2025-09-07T07:38:28.6256972Z * [new tag] trunk/81b7b16618bda250ce55982894a83dc0805eb64c -> trunk/81b7b16618bda250ce55982894a83dc0805eb64c 2025-09-07T07:38:28.6257443Z * [new tag] trunk/827f0d405448de31f79d1089f7d7fceab2f87895 -> trunk/827f0d405448de31f79d1089f7d7fceab2f87895 2025-09-07T07:38:28.6257889Z * [new tag] trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 -> trunk/82f63c8f6de63c30132a8ac299b6e8c2fd0d3fe8 2025-09-07T07:38:28.6258355Z * [new tag] trunk/850e1382a9c56bfde18af09d3e72352d775e9435 -> trunk/850e1382a9c56bfde18af09d3e72352d775e9435 2025-09-07T07:38:28.6258851Z * [new tag] trunk/8678d831c48e616b717bff50f2d03141d2e9f965 -> trunk/8678d831c48e616b717bff50f2d03141d2e9f965 2025-09-07T07:38:28.6259296Z * [new tag] trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 -> trunk/869cbcc16e489a4f5a14a93d5779b0ea86061c60 2025-09-07T07:38:28.6259789Z * [new tag] trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 -> trunk/8703debf669bc2238211bfd039f4ecdd8228b7f7 2025-09-07T07:38:28.6260332Z * [new tag] trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 -> trunk/874069fbe46e82da5cfa405e6c0deb12e89ff608 2025-09-07T07:38:28.6260829Z * [new tag] trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 -> trunk/8875d6e394da2fffd04f31b28bf258c94d4776a3 2025-09-07T07:38:28.6261293Z * [new tag] trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 -> trunk/88d94d17e8c5155451393afa6eb3bab48ab61c16 2025-09-07T07:38:28.6261804Z * [new tag] trunk/890626632def7e0ef95a2d01e87a0e4627824a9f -> trunk/890626632def7e0ef95a2d01e87a0e4627824a9f 2025-09-07T07:38:28.6262271Z * [new tag] trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 -> trunk/8975cda2520b7b1b5bc3b4d8213edf261fa82570 2025-09-07T07:38:28.6262726Z * [new tag] trunk/89d41d3f61d04f14730ec26f008a59bef6624610 -> trunk/89d41d3f61d04f14730ec26f008a59bef6624610 2025-09-07T07:38:28.6263128Z * [new tag] trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 -> trunk/8bb213b6d599ef1273fe52f9b1f6d476056c3a41 2025-09-07T07:38:28.6263621Z * [new tag] trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af -> trunk/8e23a1227b5fb2e39afaa7d57c075a75b640a5af 2025-09-07T07:38:28.6264431Z * [new tag] trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 -> trunk/8ec551bb354ab2b85fbbba9d461740a20366d248 2025-09-07T07:38:28.6264897Z * [new tag] trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d -> trunk/8fd3c9ce919c8d5c645fd348bba517e948cbc29d 2025-09-07T07:38:28.6265531Z * [new tag] trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 -> trunk/90f50f7e68e120d9574e6e3189e37b4280010ad9 2025-09-07T07:38:28.6266017Z * [new tag] trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 -> trunk/91f0bcf43fc0bc743350d491ac63b77e92054ac9 2025-09-07T07:38:28.6266538Z * [new tag] trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab -> trunk/92576a594b8121f6b0b1b5a3ea16d08792fc68ab 2025-09-07T07:38:28.6267018Z * [new tag] trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d -> trunk/92a43025e0baa1f2ce345f28d22913b518a1ab9d 2025-09-07T07:38:28.6267599Z * [new tag] trunk/93fb23d6fae7c4e82c4239a1033e522088742634 -> trunk/93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:28.6268064Z * [new tag] trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c -> trunk/9458d1ac3bd70c2af316a8ba95d2c6c9c1199c9c 2025-09-07T07:38:28.6268510Z * [new tag] trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e -> trunk/9480cdc0b61488c89a23c2f64f43b2dcedc8728e 2025-09-07T07:38:28.6269034Z * [new tag] trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 -> trunk/9491d289b329e4ba4a9f5f5b1be7960671bb7840 2025-09-07T07:38:28.6269652Z * [new tag] trunk/9499c8761cd2067feb9877414e818f6fd00290f1 -> trunk/9499c8761cd2067feb9877414e818f6fd00290f1 2025-09-07T07:38:28.6270036Z * [new tag] trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 -> trunk/95ee0bfea99d3d346d6502b91b497d2b35795504 2025-09-07T07:38:28.6270473Z * [new tag] trunk/98374612fc2febd686be20761e56bdc2424bc36a -> trunk/98374612fc2febd686be20761e56bdc2424bc36a 2025-09-07T07:38:28.6271074Z * [new tag] trunk/98efc9e93d8fc61eb53cb91378443617cb550500 -> trunk/98efc9e93d8fc61eb53cb91378443617cb550500 2025-09-07T07:38:28.6271474Z * [new tag] trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 -> trunk/994f2a5dbcbdc915da39bf6f6ce4d1f5e74835c9 2025-09-07T07:38:28.6271927Z * [new tag] trunk/99f356fa58c8d726cef022d8710f5491291158f6 -> trunk/99f356fa58c8d726cef022d8710f5491291158f6 2025-09-07T07:38:28.6272403Z * [new tag] trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 -> trunk/9a1c5c0a078b94d13ac5c1ae0d754d19fb73bf99 2025-09-07T07:38:28.6272837Z * [new tag] trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd -> trunk/9a665ca3c472384e9d722bddba79e5a7680f1abd 2025-09-07T07:38:28.6273286Z * [new tag] trunk/9aedb3cd87b52160872173c177f61053d97bed57 -> trunk/9aedb3cd87b52160872173c177f61053d97bed57 2025-09-07T07:38:28.6273721Z * [new tag] trunk/9b81fe281da41f2421506339d26b027a468902f4 -> trunk/9b81fe281da41f2421506339d26b027a468902f4 2025-09-07T07:38:28.6274150Z * [new tag] trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e -> trunk/9bdcee01f86e2969cff1140cdecfca13cb51816e 2025-09-07T07:38:28.6274603Z * [new tag] trunk/9c03d6be87eedc06e524e202e07a7e776551a839 -> trunk/9c03d6be87eedc06e524e202e07a7e776551a839 2025-09-07T07:38:28.6275082Z * [new tag] trunk/9c957723a0fedd9c637e63e023a613019e2cab60 -> trunk/9c957723a0fedd9c637e63e023a613019e2cab60 2025-09-07T07:38:28.6275503Z * [new tag] trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 -> trunk/9e5247f51d81735e5f1e65e80588985fa93bccc5 2025-09-07T07:38:28.6276008Z * [new tag] trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 -> trunk/9eadb37cdd699f7e8e8177a5227bfeb16184ef26 2025-09-07T07:38:28.6276472Z * [new tag] trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 -> trunk/a00cdc1e4159db73c9ffb3f25e93e55877709a29 2025-09-07T07:38:28.6276929Z * [new tag] trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 -> trunk/a02ee4a816d11380c6f564c1aba64d56af5ba705 2025-09-07T07:38:28.6277292Z * [new tag] trunk/a3c7f77e50f900721817934120d60c2361b3c40d -> trunk/a3c7f77e50f900721817934120d60c2361b3c40d 2025-09-07T07:38:28.6277772Z * [new tag] trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 -> trunk/a3d72b09ae12126a2b7d4a63a45ac100a882a802 2025-09-07T07:38:28.6278241Z * [new tag] trunk/a3e5466002791da609fcb069155d8ee347baee92 -> trunk/a3e5466002791da609fcb069155d8ee347baee92 2025-09-07T07:38:28.6278698Z * [new tag] trunk/a714437093ed196eee28f7de454cf4c41badc098 -> trunk/a714437093ed196eee28f7de454cf4c41badc098 2025-09-07T07:38:28.6279145Z * [new tag] trunk/a75e8cd27098f290de0b7439685d05ce02e91356 -> trunk/a75e8cd27098f290de0b7439685d05ce02e91356 2025-09-07T07:38:28.6279817Z * [new tag] trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae -> trunk/a8d6943d36c1c2a5f90d3573460695bad4b623ae 2025-09-07T07:38:28.6280272Z * [new tag] trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 -> trunk/a918bbad6ab20649ff82eefb48417ecbe96bcb34 2025-09-07T07:38:28.6280711Z * [new tag] trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e -> trunk/a99d8d39bc842d6ebc3e368b178e4884d24b056e 2025-09-07T07:38:28.6281202Z * [new tag] trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 -> trunk/aac1a50a191b4102d566c9c1ea22f06d6c2e3f02 2025-09-07T07:38:28.6281630Z * [new tag] trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 -> trunk/aad96a202244c7d0d120c04ba8db593edd8c0f92 2025-09-07T07:38:28.6282057Z * [new tag] trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c -> trunk/ab643e4dbbaf7b663d4237514cbf01af9b11565c 2025-09-07T07:38:28.6282492Z * [new tag] trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 -> trunk/abc447174cd2cf8591edbc70a9f836f9a5779f47 2025-09-07T07:38:28.6283190Z * [new tag] trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d -> trunk/acece97c3a9dceb63194e314da93fdf37cf15a0d 2025-09-07T07:38:28.6283636Z * [new tag] trunk/adae7f66aacf3f248c3101b858cf98d5809119fa -> trunk/adae7f66aacf3f248c3101b858cf98d5809119fa 2025-09-07T07:38:28.6284134Z * [new tag] trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c -> trunk/ae0edc133e61e3b16caf0b2ee0ff3f33ab72af4c 2025-09-07T07:38:28.6284568Z * [new tag] trunk/aed33a8fcbd60b052d4559d261390c5797129c6d -> trunk/aed33a8fcbd60b052d4559d261390c5797129c6d 2025-09-07T07:38:28.6285077Z * [new tag] trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 -> trunk/b04e922712080a3652e438d05e8bb74e0cd2d238 2025-09-07T07:38:28.6285550Z * [new tag] trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f -> trunk/b0a3e58dd71c1a039ac0ef51e5bd8f704f632f6f 2025-09-07T07:38:28.6286015Z * [new tag] trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 -> trunk/b16d3f4c8c01d461c2f01064e9ca5fa2b33f5cf1 2025-09-07T07:38:28.6286458Z * [new tag] trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 -> trunk/b18bb6796f210a183e687d9d64984a5a9d13cf09 2025-09-07T07:38:28.6286873Z * [new tag] trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de -> trunk/b1bb98ddebdd3e41bf7987372409bdce96ae55de 2025-09-07T07:38:28.6287312Z * [new tag] trunk/b2b4add0e754411372060e1d7b4057a66439172b -> trunk/b2b4add0e754411372060e1d7b4057a66439172b 2025-09-07T07:38:28.6287772Z * [new tag] trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 -> trunk/b2c7b9ad2dc5a7c0b61febd307761bd5bc2f0f05 2025-09-07T07:38:28.6288213Z * [new tag] trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 -> trunk/b40d9432be44a6b5974ee62e7d19c3c61c5ece37 2025-09-07T07:38:28.6288697Z * [new tag] trunk/b4ad38279b178b7bd14355123c1101e2e853e77b -> trunk/b4ad38279b178b7bd14355123c1101e2e853e77b 2025-09-07T07:38:28.6289196Z * [new tag] trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde -> trunk/b67c41039835bd9b20b83cd6233e86baaa5f5dde 2025-09-07T07:38:28.6289753Z * [new tag] trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c -> trunk/b6d0a9ea9056ede4f7024dbf3bd6c43be3aff49c 2025-09-07T07:38:28.6290207Z * [new tag] trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 -> trunk/b7dad7dd49448c88d0751fa2e29c70afe985f734 2025-09-07T07:38:28.6290656Z * [new tag] trunk/b7e207ca9f046ddd716076965a0cce403ba99052 -> trunk/b7e207ca9f046ddd716076965a0cce403ba99052 2025-09-07T07:38:28.6291165Z * [new tag] trunk/b919560c4a7010e2d89facee25586269a994746e -> trunk/b919560c4a7010e2d89facee25586269a994746e 2025-09-07T07:38:28.6291659Z * [new tag] trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 -> trunk/b9ba612f7a968f7b27e121ca8f4d0a4d954f5354 2025-09-07T07:38:28.6292141Z * [new tag] trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 -> trunk/ba7f546ccccb5e0b36d9070dc25f26a9647f89f8 2025-09-07T07:38:28.6292603Z * [new tag] trunk/bb950284c7e72905994bc25dd436c10e48088d85 -> trunk/bb950284c7e72905994bc25dd436c10e48088d85 2025-09-07T07:38:28.6293051Z * [new tag] trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d -> trunk/bbedc71fd3267c639c38b4ec25eaa22f973d9c4d 2025-09-07T07:38:28.6293420Z * [new tag] trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 -> trunk/bc4db2c27fce6ff1648bdc5af31ec225d2a31f37 2025-09-07T07:38:28.6293873Z * [new tag] trunk/bc505977fb66677a09c31155c987330fbb18a865 -> trunk/bc505977fb66677a09c31155c987330fbb18a865 2025-09-07T07:38:28.6294334Z * [new tag] trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 -> trunk/bd39e47feea7326afb5bbb67fcb1e69279239527 2025-09-07T07:38:28.6294837Z * [new tag] trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 -> trunk/be5b03dde96638f25ffd732a4fed7e41b4cf40e1 2025-09-07T07:38:28.6295306Z * [new tag] trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 -> trunk/bffc7dd1f374d8408911cd22c6b3d6df39ded9b3 2025-09-07T07:38:28.6295804Z * [new tag] trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf -> trunk/c024b1f5a18d5c5aee5cc2acdd4c52b24b93ffcf 2025-09-07T07:38:28.6296266Z * [new tag] trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 -> trunk/c0983e6cc0acf71689e1851d12609e00b3f59371 2025-09-07T07:38:28.6296890Z * [new tag] trunk/c10195e723eeeedd099ed8b73eda7184ca618fad -> trunk/c10195e723eeeedd099ed8b73eda7184ca618fad 2025-09-07T07:38:28.6297303Z * [new tag] trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 -> trunk/c157cf6488ade6a7ee2ce2d25b059e1335630a99 2025-09-07T07:38:28.6297784Z * [new tag] trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 -> trunk/c2a30246172fd71d56529907ffd3c27b76b1f3a7 2025-09-07T07:38:28.6298311Z * [new tag] trunk/c32111149921b48bfef909293f1049e21619ed76 -> trunk/c32111149921b48bfef909293f1049e21619ed76 2025-09-07T07:38:28.6298716Z * [new tag] trunk/c37103234afc832dcad307e9016230810957c9d5 -> trunk/c37103234afc832dcad307e9016230810957c9d5 2025-09-07T07:38:28.6299149Z * [new tag] trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 -> trunk/c3ceca2995cd35e1376c4b0704669bff1a81e836 2025-09-07T07:38:28.6299575Z * [new tag] trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd -> trunk/c3d54dea9febb1236d48d19e5d4876a63f2e20fd 2025-09-07T07:38:28.6300045Z * [new tag] trunk/c465b3d52c5687fe910d35a5c75341b77f821741 -> trunk/c465b3d52c5687fe910d35a5c75341b77f821741 2025-09-07T07:38:28.6300492Z * [new tag] trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b -> trunk/c5b8a10be5e89396da916d1069ffcb7135f0372b 2025-09-07T07:38:28.6300895Z * [new tag] trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 -> trunk/c7e41071a08f4045bc11ab60ec366d7357d56e30 2025-09-07T07:38:28.6301344Z * [new tag] trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 -> trunk/c98ddaca6d2e19ca37aff00c4ff0cda1e9a6ff65 2025-09-07T07:38:28.6301816Z * [new tag] trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b -> trunk/cb1e31362c7b53acf4ac95b9f8878064c184f03b 2025-09-07T07:38:28.6302255Z * [new tag] trunk/cbfb005f7cce79974795b148e265f594f59477c8 -> trunk/cbfb005f7cce79974795b148e265f594f59477c8 2025-09-07T07:38:28.6302766Z * [new tag] trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 -> trunk/cc5bdd12401bda835291d2f3cb297132ebdbf358 2025-09-07T07:38:28.6303412Z * [new tag] trunk/cd529b686d54bbaa443f5b310140de48422d96c7 -> trunk/cd529b686d54bbaa443f5b310140de48422d96c7 2025-09-07T07:38:28.6303773Z * [new tag] trunk/cec0ff122815582af5302360aff03676558c5c87 -> trunk/cec0ff122815582af5302360aff03676558c5c87 2025-09-07T07:38:28.6304230Z * [new tag] trunk/d11720efdb563d02cf4f7d324311fb15a755268e -> trunk/d11720efdb563d02cf4f7d324311fb15a755268e 2025-09-07T07:38:28.6304679Z * [new tag] trunk/d1706d9128ae24d9048167e80d3fe5196d19035e -> trunk/d1706d9128ae24d9048167e80d3fe5196d19035e 2025-09-07T07:38:28.6305229Z * [new tag] trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d -> trunk/d1a15abfdcaef138f2d9e93a9f46be44f30b766d 2025-09-07T07:38:28.6305760Z * [new tag] trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 -> trunk/d232a95d4a79404ca05c1f52d37fde7339dcdf49 2025-09-07T07:38:28.6306215Z * [new tag] trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e -> trunk/d2d4c8e9b2371c9aacfb771d9402ac7427b9778e 2025-09-07T07:38:28.6306621Z * [new tag] trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 -> trunk/d33840c542b387ab08ba49aa6c45aa9567fd9be7 2025-09-07T07:38:28.6307059Z * [new tag] trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 -> trunk/d5643e8f3a648a99636bfa1f2a41d54bd3c0d0f1 2025-09-07T07:38:28.6307486Z * [new tag] trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 -> trunk/d5b38410b5b6cf75c7a7389972777a6497926ee7 2025-09-07T07:38:28.6307901Z * [new tag] trunk/d5e0f4202ba14632e4d14862ace096609e763462 -> trunk/d5e0f4202ba14632e4d14862ace096609e763462 2025-09-07T07:38:28.6308378Z * [new tag] trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 -> trunk/d636c181f9140a7b59be10b36eae23039fc2bb72 2025-09-07T07:38:28.6309266Z * [new tag] trunk/d64718503728001a1e78168fd7f2d4ff23e57285 -> trunk/d64718503728001a1e78168fd7f2d4ff23e57285 2025-09-07T07:38:28.6309704Z * [new tag] trunk/d67c29ad22670320d676b02e394274af34e8e643 -> trunk/d67c29ad22670320d676b02e394274af34e8e643 2025-09-07T07:38:28.6310561Z * [new tag] trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 -> trunk/d6b74568e2c98ce58ecc145b72ac66d4caf7ce95 2025-09-07T07:38:28.6311064Z * [new tag] trunk/d711f27845abd45007ccab6076649ebd896c2661 -> trunk/d711f27845abd45007ccab6076649ebd896c2661 2025-09-07T07:38:28.6311521Z * [new tag] trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab -> trunk/d9d6dde0f42d4bcc8c97671ac50d5096c7e500ab 2025-09-07T07:38:28.6312001Z * [new tag] trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 -> trunk/da4db4b33d1fdd046650cf19fdbac581a19bf2f9 2025-09-07T07:38:28.6312330Z * [new tag] trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 -> trunk/dac8a4b91c01c3bbc96f54e621b1ea4ffdbd29d1 2025-09-07T07:38:28.6312997Z * [new tag] trunk/dbec08729fb9848bebed6048c63831b87170d061 -> trunk/dbec08729fb9848bebed6048c63831b87170d061 2025-09-07T07:38:28.6313271Z * [new tag] trunk/dcf385395d838f38c8dca25913578230dd43099a -> trunk/dcf385395d838f38c8dca25913578230dd43099a 2025-09-07T07:38:28.6313828Z * [new tag] trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 -> trunk/dd2519abe83ec3c40d4797492434e41fe3b47e17 2025-09-07T07:38:28.6314277Z * [new tag] trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d -> trunk/dec72ea4b006dd0fbcaaaa106ad273d73807ab9d 2025-09-07T07:38:28.6314747Z * [new tag] trunk/e0a62b266c021b910ce6dc02a6c9429210487717 -> trunk/e0a62b266c021b910ce6dc02a6c9429210487717 2025-09-07T07:38:28.6315297Z * [new tag] trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 -> trunk/e19e02c84c9dcc408375e5cae3b0709c18b99228 2025-09-07T07:38:28.6315792Z * [new tag] trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 -> trunk/e304ea4e69d3a7deeb7e48c7450c214a4c953937 2025-09-07T07:38:28.6316239Z * [new tag] trunk/e3068cdb446adefb5a875616ba37a60235391439 -> trunk/e3068cdb446adefb5a875616ba37a60235391439 2025-09-07T07:38:28.6316707Z * [new tag] trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 -> trunk/e381d4b0205d5f126c1de534f867ba776f7c3ee6 2025-09-07T07:38:28.6317210Z * [new tag] trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 -> trunk/e4bd0ff4f8981b805df32ea5b3550621965ea4f2 2025-09-07T07:38:28.6317587Z * [new tag] trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 -> trunk/e532c9d4f1cdcbc1ea9628f55b9813e77847bdc7 2025-09-07T07:38:28.6318074Z * [new tag] trunk/e92cd9415377403b6e90585e764639e2e0b5973b -> trunk/e92cd9415377403b6e90585e764639e2e0b5973b 2025-09-07T07:38:28.6318502Z * [new tag] trunk/e9481b6617b5576b099d8ca5798111592e9ad090 -> trunk/e9481b6617b5576b099d8ca5798111592e9ad090 2025-09-07T07:38:28.6318843Z * [new tag] trunk/ea1883dfd3e42defe37b11202b878bb76defa087 -> trunk/ea1883dfd3e42defe37b11202b878bb76defa087 2025-09-07T07:38:28.6319358Z * [new tag] trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 -> trunk/eac3d6f04cfbbebe3d470dacd216da7d4b1f95a8 2025-09-07T07:38:28.6319788Z * [new tag] trunk/eb18d32bda75189494d955aa001ade15f10333de -> trunk/eb18d32bda75189494d955aa001ade15f10333de 2025-09-07T07:38:28.6320104Z * [new tag] trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 -> trunk/ef3be6726f7ff4b77c22db10cec5b686f9107ea9 2025-09-07T07:38:28.6320606Z * [new tag] trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 -> trunk/ef8aabd42422725026cb4dbf48aafa9efa226a04 2025-09-07T07:38:28.6321137Z * [new tag] trunk/f00445b43eee57e20bb9316fa796ca23bf73373b -> trunk/f00445b43eee57e20bb9316fa796ca23bf73373b 2025-09-07T07:38:28.6321605Z * [new tag] trunk/f0c391102b754e3b145e8c59231d2df563487e37 -> trunk/f0c391102b754e3b145e8c59231d2df563487e37 2025-09-07T07:38:28.6322105Z * [new tag] trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 -> trunk/f27985b7e796fb66a1b476284ba42d8cb360a751 2025-09-07T07:38:28.6322638Z * [new tag] trunk/f36f285953700f971552083a5da9d0ceacb63bbd -> trunk/f36f285953700f971552083a5da9d0ceacb63bbd 2025-09-07T07:38:28.6323089Z * [new tag] trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb -> trunk/f3cebec39ebc110e1c8b06e741896585f7892dbb 2025-09-07T07:38:28.6323467Z * [new tag] trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c -> trunk/f4c33cd44acac92c0b451a04da20ebe9370e5b0c 2025-09-07T07:38:28.6323955Z * [new tag] trunk/f612045ce105f008b2b675e2fc870163babeb2e8 -> trunk/f612045ce105f008b2b675e2fc870163babeb2e8 2025-09-07T07:38:28.6324558Z * [new tag] trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c -> trunk/f8746b878dfc1e9639d42cbde832e9b9e792c86c 2025-09-07T07:38:28.6324988Z * [new tag] trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c -> trunk/f8ffa9194e26523e5f976d4a824d5cc58922727c 2025-09-07T07:38:28.6325423Z * [new tag] trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 -> trunk/f981a7fa5230b98974291fdde32fe8488bc5d469 2025-09-07T07:38:28.6325910Z * [new tag] trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 -> trunk/fbf3d2027daabbcb44d0af274b139be2a248a4f7 2025-09-07T07:38:28.6326593Z * [new tag] trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa -> trunk/fca2601c9d628e1bd2d75c7318cd22c4e8c832aa 2025-09-07T07:38:28.6326946Z * [new tag] trunk/fea20775ad96bdca972a1811d7d3372f368614ab -> trunk/fea20775ad96bdca972a1811d7d3372f368614ab 2025-09-07T07:38:28.6327352Z * [new tag] trunk/fefee081642f87419a21dc852f7167d4640443cd -> trunk/fefee081642f87419a21dc852f7167d4640443cd 2025-09-07T07:38:28.6327717Z * [new tag] v0.1.1 -> v0.1.1 2025-09-07T07:38:28.6328282Z * [new tag] v0.1.10 -> v0.1.10 2025-09-07T07:38:28.6328623Z * [new tag] v0.1.11 -> v0.1.11 2025-09-07T07:38:28.6329039Z * [new tag] v0.1.12 -> v0.1.12 2025-09-07T07:38:28.6329458Z * [new tag] v0.1.2 -> v0.1.2 2025-09-07T07:38:28.6329868Z * [new tag] v0.1.3 -> v0.1.3 2025-09-07T07:38:28.6330250Z * [new tag] v0.1.4 -> v0.1.4 2025-09-07T07:38:28.6330620Z * [new tag] v0.1.5 -> v0.1.5 2025-09-07T07:38:28.6330995Z * [new tag] v0.1.6 -> v0.1.6 2025-09-07T07:38:28.6331410Z * [new tag] v0.1.7 -> v0.1.7 2025-09-07T07:38:28.6331765Z * [new tag] v0.1.8 -> v0.1.8 2025-09-07T07:38:28.6332153Z * [new tag] v0.1.9 -> v0.1.9 2025-09-07T07:38:28.6332573Z * [new tag] v0.2.0 -> v0.2.0 2025-09-07T07:38:28.6333094Z * [new tag] v0.3.0 -> v0.3.0 2025-09-07T07:38:28.6333471Z * [new tag] v0.3.1 -> v0.3.1 2025-09-07T07:38:28.6333880Z * [new tag] v0.4.0 -> v0.4.0 2025-09-07T07:38:28.6334282Z * [new tag] v0.4.1 -> v0.4.1 2025-09-07T07:38:28.6334708Z * [new tag] v1.0.0 -> v1.0.0 2025-09-07T07:38:28.6335140Z * [new tag] v1.0.0a0 -> v1.0.0a0 2025-09-07T07:38:28.6335864Z * [new tag] v1.0.1 -> v1.0.1 2025-09-07T07:38:28.6336311Z * [new tag] v1.0rc0 -> v1.0rc0 2025-09-07T07:38:28.6336606Z * [new tag] v1.0rc1 -> v1.0rc1 2025-09-07T07:38:28.6337236Z * [new tag] v1.1.0 -> v1.1.0 2025-09-07T07:38:28.6337610Z * [new tag] v1.1.0a0 -> v1.1.0a0 2025-09-07T07:38:28.6338259Z * [new tag] v1.10.0 -> v1.10.0 2025-09-07T07:38:28.6338829Z * [new tag] v1.10.0-rc1 -> v1.10.0-rc1 2025-09-07T07:38:28.6339137Z * [new tag] v1.10.0-rc2 -> v1.10.0-rc2 2025-09-07T07:38:28.6339458Z * [new tag] v1.10.0-rc3 -> v1.10.0-rc3 2025-09-07T07:38:28.6340000Z * [new tag] v1.10.1 -> v1.10.1 2025-09-07T07:38:28.6340281Z * [new tag] v1.10.1-rc1 -> v1.10.1-rc1 2025-09-07T07:38:28.6340547Z * [new tag] v1.10.2 -> v1.10.2 2025-09-07T07:38:28.6340913Z * [new tag] v1.10.2-rc1 -> v1.10.2-rc1 2025-09-07T07:38:28.6341320Z * [new tag] v1.11.0 -> v1.11.0 2025-09-07T07:38:28.6341937Z * [new tag] v1.11.0-rc1 -> v1.11.0-rc1 2025-09-07T07:38:28.6342485Z * [new tag] v1.11.0-rc2 -> v1.11.0-rc2 2025-09-07T07:38:28.6342905Z * [new tag] v1.11.0-rc3 -> v1.11.0-rc3 2025-09-07T07:38:28.6343368Z * [new tag] v1.11.0-rc4 -> v1.11.0-rc4 2025-09-07T07:38:28.6343908Z * [new tag] v1.11.0-rc5 -> v1.11.0-rc5 2025-09-07T07:38:28.6344097Z * [new tag] v1.11.0-rc6 -> v1.11.0-rc6 2025-09-07T07:38:28.6344441Z * [new tag] v1.11.0-rc7 -> v1.11.0-rc7 2025-09-07T07:38:28.6344982Z * [new tag] v1.12.0 -> v1.12.0 2025-09-07T07:38:28.6345361Z * [new tag] v1.12.0-rc1 -> v1.12.0-rc1 2025-09-07T07:38:28.6345898Z * [new tag] v1.12.0-rc2 -> v1.12.0-rc2 2025-09-07T07:38:28.6346250Z * [new tag] v1.12.0-rc3 -> v1.12.0-rc3 2025-09-07T07:38:28.6346764Z * [new tag] v1.12.0-rc4 -> v1.12.0-rc4 2025-09-07T07:38:28.6347257Z * [new tag] v1.12.0-rc5 -> v1.12.0-rc5 2025-09-07T07:38:28.6347734Z * [new tag] v1.12.0-rc6 -> v1.12.0-rc6 2025-09-07T07:38:28.6348044Z * [new tag] v1.12.0-rc7 -> v1.12.0-rc7 2025-09-07T07:38:28.6348319Z * [new tag] v1.12.0-rc8 -> v1.12.0-rc8 2025-09-07T07:38:28.6348644Z * [new tag] v1.12.1 -> v1.12.1 2025-09-07T07:38:28.6353201Z * [new tag] v1.12.1-rc1 -> v1.12.1-rc1 2025-09-07T07:38:28.6353665Z * [new tag] v1.12.1-rc2 -> v1.12.1-rc2 2025-09-07T07:38:28.6354340Z * [new tag] v1.12.1-rc3 -> v1.12.1-rc3 2025-09-07T07:38:28.6354885Z * [new tag] v1.12.1-rc4 -> v1.12.1-rc4 2025-09-07T07:38:28.6355150Z * [new tag] v1.12.1-rc5 -> v1.12.1-rc5 2025-09-07T07:38:28.6355757Z * [new tag] v1.13.0 -> v1.13.0 2025-09-07T07:38:28.6356059Z * [new tag] v1.13.0-rc1 -> v1.13.0-rc1 2025-09-07T07:38:28.6356609Z * [new tag] v1.13.0-rc2 -> v1.13.0-rc2 2025-09-07T07:38:28.6356941Z * [new tag] v1.13.0-rc3 -> v1.13.0-rc3 2025-09-07T07:38:28.6357547Z * [new tag] v1.13.0-rc4 -> v1.13.0-rc4 2025-09-07T07:38:28.6357749Z * [new tag] v1.13.0-rc5 -> v1.13.0-rc5 2025-09-07T07:38:28.6358104Z * [new tag] v1.13.0-rc6 -> v1.13.0-rc6 2025-09-07T07:38:28.6358637Z * [new tag] v1.13.1 -> v1.13.1 2025-09-07T07:38:28.6358882Z * [new tag] v1.13.1-rc1 -> v1.13.1-rc1 2025-09-07T07:38:28.6359313Z * [new tag] v1.2.0 -> v1.2.0 2025-09-07T07:38:28.6359869Z * [new tag] v1.2.0a0 -> v1.2.0a0 2025-09-07T07:38:28.6360231Z * [new tag] v1.3.0 -> v1.3.0 2025-09-07T07:38:28.6360783Z * [new tag] v1.3.0a0 -> v1.3.0a0 2025-09-07T07:38:28.6360949Z * [new tag] v1.3.1 -> v1.3.1 2025-09-07T07:38:28.6361486Z * [new tag] v1.4.0 -> v1.4.0 2025-09-07T07:38:28.6361886Z * [new tag] v1.4.0a0 -> v1.4.0a0 2025-09-07T07:38:28.6362233Z * [new tag] v1.4.1 -> v1.4.1 2025-09-07T07:38:28.6362774Z * [new tag] v1.5.0 -> v1.5.0 2025-09-07T07:38:28.6363213Z * [new tag] v1.5.0-rc1 -> v1.5.0-rc1 2025-09-07T07:38:28.6363635Z * [new tag] v1.5.0-rc2 -> v1.5.0-rc2 2025-09-07T07:38:28.6364226Z * [new tag] v1.5.0-rc3 -> v1.5.0-rc3 2025-09-07T07:38:28.6364601Z * [new tag] v1.5.0-rc4 -> v1.5.0-rc4 2025-09-07T07:38:28.6364871Z * [new tag] v1.5.0-rc5 -> v1.5.0-rc5 2025-09-07T07:38:28.6365448Z * [new tag] v1.5.1 -> v1.5.1 2025-09-07T07:38:28.6365692Z * [new tag] v1.5.1-rc1 -> v1.5.1-rc1 2025-09-07T07:38:28.6365983Z * [new tag] v1.6.0 -> v1.6.0 2025-09-07T07:38:28.6366638Z * [new tag] v1.6.0-rc1 -> v1.6.0-rc1 2025-09-07T07:38:28.6367073Z * [new tag] v1.6.0-rc2 -> v1.6.0-rc2 2025-09-07T07:38:28.6367901Z * [new tag] v1.6.0-rc3 -> v1.6.0-rc3 2025-09-07T07:38:28.6368265Z * [new tag] v1.6.0-rc4 -> v1.6.0-rc4 2025-09-07T07:38:28.6368746Z * [new tag] v1.6.0-rc5 -> v1.6.0-rc5 2025-09-07T07:38:28.6369142Z * [new tag] v1.6.0-rc6 -> v1.6.0-rc6 2025-09-07T07:38:28.6369477Z * [new tag] v1.6.0-rc7 -> v1.6.0-rc7 2025-09-07T07:38:28.6369910Z * [new tag] v1.7.0 -> v1.7.0 2025-09-07T07:38:28.6370476Z * [new tag] v1.7.0-rc1 -> v1.7.0-rc1 2025-09-07T07:38:28.6370851Z * [new tag] v1.7.0-rc2 -> v1.7.0-rc2 2025-09-07T07:38:28.6371377Z * [new tag] v1.7.0-rc3 -> v1.7.0-rc3 2025-09-07T07:38:28.6371684Z * [new tag] v1.7.0-rc4 -> v1.7.0-rc4 2025-09-07T07:38:28.6372079Z * [new tag] v1.7.1 -> v1.7.1 2025-09-07T07:38:28.6372680Z * [new tag] v1.7.1-rc1 -> v1.7.1-rc1 2025-09-07T07:38:28.6373098Z * [new tag] v1.7.1-rc2 -> v1.7.1-rc2 2025-09-07T07:38:28.6373440Z * [new tag] v1.7.1-rc3 -> v1.7.1-rc3 2025-09-07T07:38:28.6373873Z * [new tag] v1.8.0 -> v1.8.0 2025-09-07T07:38:28.6374256Z * [new tag] v1.8.0-rc1 -> v1.8.0-rc1 2025-09-07T07:38:28.6374795Z * [new tag] v1.8.0-rc2 -> v1.8.0-rc2 2025-09-07T07:38:28.6375177Z * [new tag] v1.8.0-rc3 -> v1.8.0-rc3 2025-09-07T07:38:28.6375577Z * [new tag] v1.8.0-rc4 -> v1.8.0-rc4 2025-09-07T07:38:28.6375885Z * [new tag] v1.8.0-rc5 -> v1.8.0-rc5 2025-09-07T07:38:28.6376184Z * [new tag] v1.8.1 -> v1.8.1 2025-09-07T07:38:28.6376721Z * [new tag] v1.8.1-rc1 -> v1.8.1-rc1 2025-09-07T07:38:28.6376939Z * [new tag] v1.8.1-rc2 -> v1.8.1-rc2 2025-09-07T07:38:28.6377273Z * [new tag] v1.8.1-rc3 -> v1.8.1-rc3 2025-09-07T07:38:28.6378191Z * [new tag] v1.8.2 -> v1.8.2 2025-09-07T07:38:28.6378431Z * [new tag] v1.8.2-rc1 -> v1.8.2-rc1 2025-09-07T07:38:28.6378996Z * [new tag] v1.9.0 -> v1.9.0 2025-09-07T07:38:28.6379573Z * [new tag] v1.9.0-rc1 -> v1.9.0-rc1 2025-09-07T07:38:28.6379935Z * [new tag] v1.9.0-rc2 -> v1.9.0-rc2 2025-09-07T07:38:28.6380520Z * [new tag] v1.9.0-rc3 -> v1.9.0-rc3 2025-09-07T07:38:28.6380733Z * [new tag] v1.9.0-rc4 -> v1.9.0-rc4 2025-09-07T07:38:28.6381217Z * [new tag] v1.9.1 -> v1.9.1 2025-09-07T07:38:28.6381854Z * [new tag] v1.9.1-rc1 -> v1.9.1-rc1 2025-09-07T07:38:28.6382059Z * [new tag] v1.9.1-rc2 -> v1.9.1-rc2 2025-09-07T07:38:28.6382667Z * [new tag] v2.0.0 -> v2.0.0 2025-09-07T07:38:28.6382947Z * [new tag] v2.0.0-rc1 -> v2.0.0-rc1 2025-09-07T07:38:28.6383527Z * [new tag] v2.0.0-rc2 -> v2.0.0-rc2 2025-09-07T07:38:28.6383906Z * [new tag] v2.0.0-rc3 -> v2.0.0-rc3 2025-09-07T07:38:28.6384495Z * [new tag] v2.0.0-rc4 -> v2.0.0-rc4 2025-09-07T07:38:28.6384861Z * [new tag] v2.0.0-rc5 -> v2.0.0-rc5 2025-09-07T07:38:28.6385230Z * [new tag] v2.0.0-rc6 -> v2.0.0-rc6 2025-09-07T07:38:28.6385684Z * [new tag] v2.0.1 -> v2.0.1 2025-09-07T07:38:28.6386220Z * [new tag] v2.0.1-rc1 -> v2.0.1-rc1 2025-09-07T07:38:28.6386474Z * [new tag] v2.0.1-rc2 -> v2.0.1-rc2 2025-09-07T07:38:28.6386835Z * [new tag] v2.0.1-rc3 -> v2.0.1-rc3 2025-09-07T07:38:28.6387114Z * [new tag] v2.0.1-rc4 -> v2.0.1-rc4 2025-09-07T07:38:28.6388030Z * [new tag] v2.1.0 -> v2.1.0 2025-09-07T07:38:28.6388431Z * [new tag] v2.1.0-rc1 -> v2.1.0-rc1 2025-09-07T07:38:28.6388959Z * [new tag] v2.1.0-rc2 -> v2.1.0-rc2 2025-09-07T07:38:28.6389496Z * [new tag] v2.1.0-rc3 -> v2.1.0-rc3 2025-09-07T07:38:28.6389967Z * [new tag] v2.1.0-rc4 -> v2.1.0-rc4 2025-09-07T07:38:28.6390379Z * [new tag] v2.1.0-rc5 -> v2.1.0-rc5 2025-09-07T07:38:28.6390723Z * [new tag] v2.1.0-rc6 -> v2.1.0-rc6 2025-09-07T07:38:28.6391157Z * [new tag] v2.1.1 -> v2.1.1 2025-09-07T07:38:28.6391696Z * [new tag] v2.1.1-rc1 -> v2.1.1-rc1 2025-09-07T07:38:28.6392038Z * [new tag] v2.1.1-rc2 -> v2.1.1-rc2 2025-09-07T07:38:28.6392650Z * [new tag] v2.1.1-rc3 -> v2.1.1-rc3 2025-09-07T07:38:28.6393243Z * [new tag] v2.1.1-rc4 -> v2.1.1-rc4 2025-09-07T07:38:28.6393575Z * [new tag] v2.1.1-rc5 -> v2.1.1-rc5 2025-09-07T07:38:28.6393911Z * [new tag] v2.1.1-rc6 -> v2.1.1-rc6 2025-09-07T07:38:28.6394309Z * [new tag] v2.1.2 -> v2.1.2 2025-09-07T07:38:28.6394928Z * [new tag] v2.1.2-rc1 -> v2.1.2-rc1 2025-09-07T07:38:28.6395319Z * [new tag] v2.1.2-rc2 -> v2.1.2-rc2 2025-09-07T07:38:28.6395651Z * [new tag] v2.1.2-rc3 -> v2.1.2-rc3 2025-09-07T07:38:28.6396501Z * [new tag] v2.2.0 -> v2.2.0 2025-09-07T07:38:28.6396867Z * [new tag] v2.2.0-rc1 -> v2.2.0-rc1 2025-09-07T07:38:28.6397432Z * [new tag] v2.2.0-rc2 -> v2.2.0-rc2 2025-09-07T07:38:28.6397744Z * [new tag] v2.2.0-rc3 -> v2.2.0-rc3 2025-09-07T07:38:28.6398180Z * [new tag] v2.2.0-rc4 -> v2.2.0-rc4 2025-09-07T07:38:28.6398587Z * [new tag] v2.2.0-rc5 -> v2.2.0-rc5 2025-09-07T07:38:28.6399046Z * [new tag] v2.2.0-rc6 -> v2.2.0-rc6 2025-09-07T07:38:28.6399393Z * [new tag] v2.2.0-rc7 -> v2.2.0-rc7 2025-09-07T07:38:28.6399667Z * [new tag] v2.2.0-rc8 -> v2.2.0-rc8 2025-09-07T07:38:28.6400264Z * [new tag] v2.2.1 -> v2.2.1 2025-09-07T07:38:28.6400661Z * [new tag] v2.2.1-rc1 -> v2.2.1-rc1 2025-09-07T07:38:28.6401008Z * [new tag] v2.2.1-rc2 -> v2.2.1-rc2 2025-09-07T07:38:28.6401305Z * [new tag] v2.2.1-rc3 -> v2.2.1-rc3 2025-09-07T07:38:28.6401599Z * [new tag] v2.2.2 -> v2.2.2 2025-09-07T07:38:28.6402171Z * [new tag] v2.2.2-rc1 -> v2.2.2-rc1 2025-09-07T07:38:28.6402479Z * [new tag] v2.2.2-rc2 -> v2.2.2-rc2 2025-09-07T07:38:28.6402803Z * [new tag] v2.2.2-rc3 -> v2.2.2-rc3 2025-09-07T07:38:28.6403240Z * [new tag] v2.3.0 -> v2.3.0 2025-09-07T07:38:28.6403666Z * [new tag] v2.3.0-rc1 -> v2.3.0-rc1 2025-09-07T07:38:28.6404212Z * [new tag] v2.3.0-rc10 -> v2.3.0-rc10 2025-09-07T07:38:28.6404778Z * [new tag] v2.3.0-rc11 -> v2.3.0-rc11 2025-09-07T07:38:28.6404937Z * [new tag] v2.3.0-rc12 -> v2.3.0-rc12 2025-09-07T07:38:28.6405618Z * [new tag] v2.3.0-rc2 -> v2.3.0-rc2 2025-09-07T07:38:28.6406017Z * [new tag] v2.3.0-rc3 -> v2.3.0-rc3 2025-09-07T07:38:28.6406551Z * [new tag] v2.3.0-rc4 -> v2.3.0-rc4 2025-09-07T07:38:28.6406928Z * [new tag] v2.3.0-rc5 -> v2.3.0-rc5 2025-09-07T07:38:28.6407247Z * [new tag] v2.3.0-rc6 -> v2.3.0-rc6 2025-09-07T07:38:28.6407856Z * [new tag] v2.3.0-rc7 -> v2.3.0-rc7 2025-09-07T07:38:28.6408151Z * [new tag] v2.3.0-rc8 -> v2.3.0-rc8 2025-09-07T07:38:28.6408455Z * [new tag] v2.3.0-rc9 -> v2.3.0-rc9 2025-09-07T07:38:28.6408703Z * [new tag] v2.3.1 -> v2.3.1 2025-09-07T07:38:28.6409302Z * [new tag] v2.3.1-rc1 -> v2.3.1-rc1 2025-09-07T07:38:28.6409630Z * [new tag] v2.3.1-rc2 -> v2.3.1-rc2 2025-09-07T07:38:28.6410231Z * [new tag] v2.3.1-rc3 -> v2.3.1-rc3 2025-09-07T07:38:28.6410603Z * [new tag] v2.4.0 -> v2.4.0 2025-09-07T07:38:28.6411142Z * [new tag] v2.4.0-rc1 -> v2.4.0-rc1 2025-09-07T07:38:28.6411510Z * [new tag] v2.4.0-rc2 -> v2.4.0-rc2 2025-09-07T07:38:28.6411989Z * [new tag] v2.4.0-rc3 -> v2.4.0-rc3 2025-09-07T07:38:28.6412408Z * [new tag] v2.4.0-rc4 -> v2.4.0-rc4 2025-09-07T07:38:28.6412986Z * [new tag] v2.4.0-rc5 -> v2.4.0-rc5 2025-09-07T07:38:28.6413369Z * [new tag] v2.4.0-rc6 -> v2.4.0-rc6 2025-09-07T07:38:28.6413992Z * [new tag] v2.4.0-rc7 -> v2.4.0-rc7 2025-09-07T07:38:28.6414300Z * [new tag] v2.4.0-rc8 -> v2.4.0-rc8 2025-09-07T07:38:28.6414925Z * [new tag] v2.4.0-rc9 -> v2.4.0-rc9 2025-09-07T07:38:28.6415153Z * [new tag] v2.4.1 -> v2.4.1 2025-09-07T07:38:28.6415731Z * [new tag] v2.4.1-rc1 -> v2.4.1-rc1 2025-09-07T07:38:28.6416137Z * [new tag] v2.4.1-rc2 -> v2.4.1-rc2 2025-09-07T07:38:28.6416787Z * [new tag] v2.4.1-rc3 -> v2.4.1-rc3 2025-09-07T07:38:28.6417139Z * [new tag] v2.5.0 -> v2.5.0 2025-09-07T07:38:28.6417686Z * [new tag] v2.5.0-rc1 -> v2.5.0-rc1 2025-09-07T07:38:28.6417914Z * [new tag] v2.5.0-rc10 -> v2.5.0-rc10 2025-09-07T07:38:28.6418654Z * [new tag] v2.5.0-rc2 -> v2.5.0-rc2 2025-09-07T07:38:28.6419041Z * [new tag] v2.5.0-rc3 -> v2.5.0-rc3 2025-09-07T07:38:28.6419474Z * [new tag] v2.5.0-rc4 -> v2.5.0-rc4 2025-09-07T07:38:28.6420006Z * [new tag] v2.5.0-rc5 -> v2.5.0-rc5 2025-09-07T07:38:28.6420547Z * [new tag] v2.5.0-rc6 -> v2.5.0-rc6 2025-09-07T07:38:28.6420943Z * [new tag] v2.5.0-rc7 -> v2.5.0-rc7 2025-09-07T07:38:28.6421485Z * [new tag] v2.5.0-rc8 -> v2.5.0-rc8 2025-09-07T07:38:28.6421871Z * [new tag] v2.5.0-rc9 -> v2.5.0-rc9 2025-09-07T07:38:28.6422203Z * [new tag] v2.5.1 -> v2.5.1 2025-09-07T07:38:28.6422524Z * [new tag] v2.5.1-rc1 -> v2.5.1-rc1 2025-09-07T07:38:28.6422823Z * [new tag] v2.6.0 -> v2.6.0 2025-09-07T07:38:28.6423360Z * [new tag] v2.6.0-rc1 -> v2.6.0-rc1 2025-09-07T07:38:28.6423856Z * [new tag] v2.6.0-rc2 -> v2.6.0-rc2 2025-09-07T07:38:28.6424697Z * [new tag] v2.6.0-rc3 -> v2.6.0-rc3 2025-09-07T07:38:28.6425037Z * [new tag] v2.6.0-rc4 -> v2.6.0-rc4 2025-09-07T07:38:28.6425755Z * [new tag] v2.6.0-rc5 -> v2.6.0-rc5 2025-09-07T07:38:28.6426316Z * [new tag] v2.6.0-rc6 -> v2.6.0-rc6 2025-09-07T07:38:28.6426702Z * [new tag] v2.6.0-rc7 -> v2.6.0-rc7 2025-09-07T07:38:28.6427458Z * [new tag] v2.6.0-rc8 -> v2.6.0-rc8 2025-09-07T07:38:28.6427773Z * [new tag] v2.6.0-rc9 -> v2.6.0-rc9 2025-09-07T07:38:28.6428451Z * [new tag] v2.7.0 -> v2.7.0 2025-09-07T07:38:28.6428826Z * [new tag] v2.7.0-rc1 -> v2.7.0-rc1 2025-09-07T07:38:28.6429204Z * [new tag] v2.7.0-rc10 -> v2.7.0-rc10 2025-09-07T07:38:28.6429808Z * [new tag] v2.7.0-rc2 -> v2.7.0-rc2 2025-09-07T07:38:28.6430201Z * [new tag] v2.7.0-rc3 -> v2.7.0-rc3 2025-09-07T07:38:28.6430771Z * [new tag] v2.7.0-rc4 -> v2.7.0-rc4 2025-09-07T07:38:28.6431150Z * [new tag] v2.7.0-rc5 -> v2.7.0-rc5 2025-09-07T07:38:28.6431699Z * [new tag] v2.7.0-rc6 -> v2.7.0-rc6 2025-09-07T07:38:28.6432130Z * [new tag] v2.7.0-rc7 -> v2.7.0-rc7 2025-09-07T07:38:28.6432710Z * [new tag] v2.7.0-rc8 -> v2.7.0-rc8 2025-09-07T07:38:28.6433318Z * [new tag] v2.7.0-rc9 -> v2.7.0-rc9 2025-09-07T07:38:28.6433549Z * [new tag] v2.7.1 -> v2.7.1 2025-09-07T07:38:28.6434147Z * [new tag] v2.7.1-rc1 -> v2.7.1-rc1 2025-09-07T07:38:28.6434573Z * [new tag] v2.7.1-rc2 -> v2.7.1-rc2 2025-09-07T07:38:28.6435165Z * [new tag] v2.7.1-rc3 -> v2.7.1-rc3 2025-09-07T07:38:28.6435702Z * [new tag] v2.7.1-rc4 -> v2.7.1-rc4 2025-09-07T07:38:28.6436050Z * [new tag] v2.7.1-rc5 -> v2.7.1-rc5 2025-09-07T07:38:28.6436466Z * [new tag] v2.8.0 -> v2.8.0 2025-09-07T07:38:28.6436913Z * [new tag] v2.8.0-rc1 -> v2.8.0-rc1 2025-09-07T07:38:28.6437333Z * [new tag] v2.8.0-rc2 -> v2.8.0-rc2 2025-09-07T07:38:28.6437930Z * [new tag] v2.8.0-rc3 -> v2.8.0-rc3 2025-09-07T07:38:28.6438329Z * [new tag] v2.8.0-rc4 -> v2.8.0-rc4 2025-09-07T07:38:28.6438914Z * [new tag] v2.8.0-rc5 -> v2.8.0-rc5 2025-09-07T07:38:28.6439339Z * [new tag] v2.8.0-rc6 -> v2.8.0-rc6 2025-09-07T07:38:28.6439872Z * [new tag] v2.8.0-rc7 -> v2.8.0-rc7 2025-09-07T07:38:28.6440294Z * [new tag] v2.8.0-rc8 -> v2.8.0-rc8 2025-09-07T07:38:28.6440888Z * [new tag] whc_flight_1 -> whc_flight_1 2025-09-07T07:38:28.6441219Z * [new tag] whc_flight_2 -> whc_flight_2 2025-09-07T07:38:28.6441639Z * [new tag] whc_flight_4 -> whc_flight_4 2025-09-07T07:38:28.6843312Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object} 2025-09-07T07:38:28.6864433Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:28.6867257Z ##[endgroup] 2025-09-07T07:38:28.6867454Z ##[group]Determining the checkout info 2025-09-07T07:38:28.6868252Z ##[endgroup] 2025-09-07T07:38:28.6872716Z [command]/usr/bin/git sparse-checkout disable 2025-09-07T07:38:28.6903902Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig 2025-09-07T07:38:28.6924502Z ##[group]Checking out the ref 2025-09-07T07:38:28.6927155Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:38:29.6300853Z Note: switching to '93fb23d6fae7c4e82c4239a1033e522088742634'. 2025-09-07T07:38:29.6301193Z 2025-09-07T07:38:29.6301422Z You are in 'detached HEAD' state. You can look around, make experimental 2025-09-07T07:38:29.6302003Z changes and commit them, and you can discard any commits you make in this 2025-09-07T07:38:29.6302345Z state without impacting any branches by switching back to a branch. 2025-09-07T07:38:29.6302532Z 2025-09-07T07:38:29.6302661Z If you want to create a new branch to retain commits you create, you may 2025-09-07T07:38:29.6302967Z do so (now or later) by using -c with the switch command. Example: 2025-09-07T07:38:29.6303131Z 2025-09-07T07:38:29.6303215Z git switch -c 2025-09-07T07:38:29.6303349Z 2025-09-07T07:38:29.6303426Z Or undo this operation with: 2025-09-07T07:38:29.6303549Z 2025-09-07T07:38:29.6303615Z git switch - 2025-09-07T07:38:29.6303705Z 2025-09-07T07:38:29.6303857Z Turn off this advice by setting config variable advice.detachedHead to false 2025-09-07T07:38:29.6304049Z 2025-09-07T07:38:29.6304169Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000) 2025-09-07T07:38:29.6346532Z ##[endgroup] 2025-09-07T07:38:29.6346819Z ##[group]Setting up auth for fetching submodules 2025-09-07T07:38:29.6352874Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic *** 2025-09-07T07:38:29.6386752Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf 2025-09-07T07:38:29.6406914Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com: 2025-09-07T07:38:29.6427335Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com: 2025-09-07T07:38:29.6445904Z ##[endgroup] 2025-09-07T07:38:29.6446190Z ##[group]Fetching submodules 2025-09-07T07:38:29.6448658Z [command]/usr/bin/git submodule sync --recursive 2025-09-07T07:38:29.6700018Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive 2025-09-07T07:38:29.6952781Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni' 2025-09-07T07:38:29.7200866Z Submodule 'third_party/NNPACK_deps/FP16' (https://github.com/Maratyszcza/FP16.git) registered for path 'third_party/FP16' 2025-09-07T07:38:29.7201518Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv' 2025-09-07T07:38:29.7202092Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK' 2025-09-07T07:38:29.7202621Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX' 2025-09-07T07:38:29.7208561Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator' 2025-09-07T07:38:29.7210117Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK' 2025-09-07T07:38:29.7211837Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter' 2025-09-07T07:38:29.7213699Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark' 2025-09-07T07:38:29.7215501Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel' 2025-09-07T07:38:29.7222816Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib' 2025-09-07T07:38:29.7224800Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo' 2025-09-07T07:38:29.7226879Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend' 2025-09-07T07:38:29.7228779Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass' 2025-09-07T07:38:29.7236359Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm' 2025-09-07T07:38:29.7239168Z Submodule 'third_party/flash-attention' (https://github.com/Dao-AILab/flash-attention.git) registered for path 'third_party/flash-attention' 2025-09-07T07:38:29.7241067Z Submodule 'third_party/flatbuffers' (https://github.com/google/flatbuffers.git) registered for path 'third_party/flatbuffers' 2025-09-07T07:38:29.7244145Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt' 2025-09-07T07:38:29.7246413Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:38:29.7254378Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo' 2025-09-07T07:38:29.7256806Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest' 2025-09-07T07:38:29.7258849Z Submodule 'third_party/ideep' (https://github.com/intel/ideep) registered for path 'third_party/ideep' 2025-09-07T07:38:29.7261029Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi' 2025-09-07T07:38:29.7268285Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto' 2025-09-07T07:38:29.7270589Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai' 2025-09-07T07:38:29.7272882Z Submodule 'third_party/mimalloc' (https://github.com/microsoft/mimalloc.git) registered for path 'third_party/mimalloc' 2025-09-07T07:38:29.7275161Z Submodule 'third_party/nlohmann' (https://github.com/nlohmann/json.git) registered for path 'third_party/nlohmann' 2025-09-07T07:38:29.7277499Z Submodule 'third_party/onnx' (https://github.com/onnx/onnx.git) registered for path 'third_party/onnx' 2025-09-07T07:38:29.7286004Z Submodule 'third_party/opentelemetry-cpp' (https://github.com/open-telemetry/opentelemetry-cpp.git) registered for path 'third_party/opentelemetry-cpp' 2025-09-07T07:38:29.7288350Z Submodule 'third_party/pocketfft' (https://github.com/mreineck/pocketfft) registered for path 'third_party/pocketfft' 2025-09-07T07:38:29.7290975Z Submodule 'third_party/protobuf' (https://github.com/protocolbuffers/protobuf.git) registered for path 'third_party/protobuf' 2025-09-07T07:38:29.7293535Z Submodule 'third_party/NNPACK_deps/psimd' (https://github.com/Maratyszcza/psimd.git) registered for path 'third_party/psimd' 2025-09-07T07:38:29.7301406Z Submodule 'third_party/NNPACK_deps/pthreadpool' (https://github.com/Maratyszcza/pthreadpool.git) registered for path 'third_party/pthreadpool' 2025-09-07T07:38:29.7303970Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/pybind11' 2025-09-07T07:38:29.7307695Z Submodule 'third_party/python-peachpy' (https://github.com/malfet/PeachPy.git) registered for path 'third_party/python-peachpy' 2025-09-07T07:38:29.7310427Z Submodule 'third_party/sleef' (https://github.com/shibatch/sleef) registered for path 'third_party/sleef' 2025-09-07T07:38:29.7313170Z Submodule 'third_party/tensorpipe' (https://github.com/pytorch/tensorpipe.git) registered for path 'third_party/tensorpipe' 2025-09-07T07:38:29.7340881Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/android/libs/fbjni'... 2025-09-07T07:38:29.9477467Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FXdiv'... 2025-09-07T07:38:29.9477972Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/FP16'... 2025-09-07T07:38:29.9478420Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/psimd'... 2025-09-07T07:38:29.9478881Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pthreadpool'... 2025-09-07T07:38:29.9519206Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NNPACK'... 2025-09-07T07:38:29.9554233Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/NVTX'... 2025-09-07T07:38:30.1352879Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pocketfft'... 2025-09-07T07:38:30.1353473Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/python-peachpy'... 2025-09-07T07:38:30.1353978Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'... 2025-09-07T07:38:30.1354490Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'... 2025-09-07T07:38:30.1354992Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'... 2025-09-07T07:38:30.1355492Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'... 2025-09-07T07:38:30.1355954Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'... 2025-09-07T07:38:30.1478289Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'... 2025-09-07T07:38:31.1054068Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'... 2025-09-07T07:38:31.1054962Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'... 2025-09-07T07:38:31.1055786Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'... 2025-09-07T07:38:31.1056628Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'... 2025-09-07T07:38:31.1057260Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'... 2025-09-07T07:38:31.1057793Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'... 2025-09-07T07:38:31.1058527Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'... 2025-09-07T07:38:31.1059014Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'... 2025-09-07T07:38:31.1059769Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'... 2025-09-07T07:38:31.1060264Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'... 2025-09-07T07:38:31.1060732Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'... 2025-09-07T07:38:31.1061205Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'... 2025-09-07T07:38:31.1061715Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'... 2025-09-07T07:38:31.2053267Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'... 2025-09-07T07:38:39.0349897Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm'... 2025-09-07T07:38:39.0350346Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cutlass'... 2025-09-07T07:38:39.0350767Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx'... 2025-09-07T07:38:39.0351173Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/composable_kernel'... 2025-09-07T07:38:39.0351577Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter'... 2025-09-07T07:38:39.0352004Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp'... 2025-09-07T07:38:39.0352409Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/nlohmann'... 2025-09-07T07:38:39.0352787Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf'... 2025-09-07T07:38:39.0466695Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f' 2025-09-07T07:38:39.0559435Z Submodule path 'third_party/FP16': checked out '4dfe081cf6bcd15db339cf2680b9281b8451eeb3' 2025-09-07T07:38:39.0629357Z Submodule path 'third_party/FXdiv': checked out 'b408327ac2a15ec3e43352421954f5b1967701d1' 2025-09-07T07:38:39.0811352Z Submodule path 'third_party/NNPACK': checked out 'c07e3a0400713d546e0dea2d5466dd22ea389c73' 2025-09-07T07:38:39.1424695Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07' 2025-09-07T07:38:39.1797992Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1' 2025-09-07T07:38:39.6674769Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883' 2025-09-07T07:38:39.7850947Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150' 2025-09-07T07:38:39.7860948Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:38:39.7880309Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/aiter/3rdparty/composable_kernel'... 2025-09-07T07:38:42.8021010Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf' 2025-09-07T07:38:42.8191224Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f' 2025-09-07T07:38:43.0443798Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977' 2025-09-07T07:38:43.0785108Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246' 2025-09-07T07:38:43.1555943Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d' 2025-09-07T07:38:43.1897502Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6' 2025-09-07T07:38:43.6619468Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491' 2025-09-07T07:38:43.7675161Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d' 2025-09-07T07:38:43.7687028Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit' 2025-09-07T07:38:43.7688204Z Submodule 'external/composable_kernel' (https://github.com/jwfromm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:38:43.7689383Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:38:43.7690639Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass' 2025-09-07T07:38:43.7692005Z Submodule 'external/googletest' (https://github.com/google/googletest) registered for path 'third_party/fbgemm/external/googletest' 2025-09-07T07:38:43.7693483Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:38:43.7694806Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json' 2025-09-07T07:38:43.7716890Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/asmjit'... 2025-09-07T07:38:44.7925196Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'... 2025-09-07T07:38:44.7925858Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'... 2025-09-07T07:38:44.7926464Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'... 2025-09-07T07:38:44.7927093Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'... 2025-09-07T07:38:44.8927035Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'... 2025-09-07T07:38:45.4934856Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'... 2025-09-07T07:38:49.0118366Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea' 2025-09-07T07:38:49.1923713Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9' 2025-09-07T07:38:49.2710189Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349' 2025-09-07T07:38:49.7516499Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917' 2025-09-07T07:38:49.7870575Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:38:49.7960600Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691' 2025-09-07T07:38:49.8797348Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03' 2025-09-07T07:38:49.9308896Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5' 2025-09-07T07:38:49.9318400Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:38:49.9319501Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:38:49.9338613Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'... 2025-09-07T07:38:52.7615117Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'... 2025-09-07T07:38:52.9254267Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33' 2025-09-07T07:38:53.3567560Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420' 2025-09-07T07:38:53.4544218Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757' 2025-09-07T07:38:53.4797262Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21' 2025-09-07T07:38:53.5096501Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350' 2025-09-07T07:38:53.5276065Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2' 2025-09-07T07:38:53.5618912Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723' 2025-09-07T07:38:53.5711683Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3' 2025-09-07T07:38:53.5726168Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn' 2025-09-07T07:38:53.5745138Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'... 2025-09-07T07:39:04.7107481Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d' 2025-09-07T07:39:04.7260991Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959' 2025-09-07T07:39:04.8024224Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658' 2025-09-07T07:39:04.8034377Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:39:04.8035587Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:39:04.8036880Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:39:04.8057215Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'... 2025-09-07T07:39:05.3747998Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'... 2025-09-07T07:39:05.6354996Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'... 2025-09-07T07:39:05.6994851Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e' 2025-09-07T07:39:05.7004752Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:39:05.7006081Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:39:05.7007376Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:39:05.7008749Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:39:05.7010032Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:05.7011548Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:05.7012983Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:05.7014455Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:39:05.7037182Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'... 2025-09-07T07:39:06.8534690Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'... 2025-09-07T07:39:06.8535376Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'... 2025-09-07T07:39:06.8535998Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'... 2025-09-07T07:39:06.8536578Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'... 2025-09-07T07:39:06.8537208Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'... 2025-09-07T07:39:06.8537810Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'... 2025-09-07T07:39:06.9534586Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'... 2025-09-07T07:39:12.5026383Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9' 2025-09-07T07:39:12.5155940Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400' 2025-09-07T07:39:12.5430687Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05' 2025-09-07T07:39:12.5528656Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067' 2025-09-07T07:39:12.5543159Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:39:12.5563858Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'... 2025-09-07T07:39:12.8011300Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4' 2025-09-07T07:39:12.8159435Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446' 2025-09-07T07:39:12.8481477Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850' 2025-09-07T07:39:12.9263962Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5' 2025-09-07T07:39:12.9388194Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150' 2025-09-07T07:39:12.9682190Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164' 2025-09-07T07:39:13.0144006Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347' 2025-09-07T07:39:13.0468637Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7' 2025-09-07T07:39:13.0756584Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e' 2025-09-07T07:39:13.1607459Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72' 2025-09-07T07:39:13.4228836Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83' 2025-09-07T07:39:13.4249043Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:13.4269186Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'... 2025-09-07T07:39:14.2304008Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4' 2025-09-07T07:39:14.2784580Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878' 2025-09-07T07:39:14.2793917Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:14.2795125Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:14.2796305Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:14.2797603Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:14.2799016Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:14.2800312Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:14.2801883Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:14.2803274Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:14.2822977Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'... 2025-09-07T07:39:14.6721267Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'... 2025-09-07T07:39:14.6722266Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'... 2025-09-07T07:39:14.6722966Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'... 2025-09-07T07:39:14.6723642Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'... 2025-09-07T07:39:14.7724202Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'... 2025-09-07T07:39:15.1403797Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'... 2025-09-07T07:39:20.3309893Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'... 2025-09-07T07:39:20.4272701Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2' 2025-09-07T07:39:20.4592239Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1' 2025-09-07T07:39:20.4719618Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa' 2025-09-07T07:39:20.5523616Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d' 2025-09-07T07:39:20.5621143Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce' 2025-09-07T07:39:20.5728642Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5' 2025-09-07T07:39:20.5841810Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d' 2025-09-07T07:39:20.5852582Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:20.5853808Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:20.5873612Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'... 2025-09-07T07:39:22.0256925Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'... 2025-09-07T07:39:22.2217767Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4' 2025-09-07T07:39:22.2559136Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929' 2025-09-07T07:39:22.5554417Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50' 2025-09-07T07:39:22.5640955Z Submodule path 'third_party/pocketfft': 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2025-09-07T07:39:26.2473309Z [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" 2025-09-07T07:39:26.2711548Z Entering 'android/libs/fbjni' 2025-09-07T07:39:26.2751296Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config remote.origin.url 2025-09-07T07:39:26.2762865Z Entering 'third_party/FP16' 2025-09-07T07:39:26.2805894Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config remote.origin.url 2025-09-07T07:39:26.2818474Z Entering 'third_party/FXdiv' 2025-09-07T07:39:26.2861407Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config remote.origin.url 2025-09-07T07:39:26.2872848Z Entering 'third_party/NNPACK' 2025-09-07T07:39:26.2909777Z 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Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:26.5497291Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:39:26.5509500Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:39:26.5547833Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config remote.origin.url 2025-09-07T07:39:26.5563378Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:26.5601923Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:39:26.5613883Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:26.5652359Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:26.5663202Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:26.5701664Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config remote.origin.url 2025-09-07T07:39:26.5714611Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:26.5754141Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config remote.origin.url 2025-09-07T07:39:26.5766855Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:26.5804436Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config remote.origin.url 2025-09-07T07:39:26.5817497Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:26.5858279Z 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file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config remote.origin.url 2025-09-07T07:39:26.6029527Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:26.6069938Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config remote.origin.url 2025-09-07T07:39:26.6097509Z Entering 'third_party/pocketfft' 2025-09-07T07:39:26.6138029Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config remote.origin.url 2025-09-07T07:39:26.6151593Z Entering 'third_party/protobuf' 2025-09-07T07:39:26.6189758Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config remote.origin.url 2025-09-07T07:39:26.6205389Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:26.6246291Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config remote.origin.url 2025-09-07T07:39:26.6257649Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:26.6296005Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:26.6309310Z Entering 'third_party/psimd' 2025-09-07T07:39:26.6349343Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config remote.origin.url 2025-09-07T07:39:26.6361273Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:26.6400875Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config remote.origin.url 2025-09-07T07:39:26.6412794Z Entering 'third_party/pybind11' 2025-09-07T07:39:26.6452857Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:39:26.6466947Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:26.6507479Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config remote.origin.url 2025-09-07T07:39:26.6521211Z Entering 'third_party/sleef' 2025-09-07T07:39:26.6564294Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config remote.origin.url 2025-09-07T07:39:26.6576722Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:26.6615940Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config remote.origin.url 2025-09-07T07:39:26.6627225Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:26.6664221Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config remote.origin.url 2025-09-07T07:39:26.6676052Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:26.6713940Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config remote.origin.url 2025-09-07T07:39:26.6724575Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:26.6766503Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config remote.origin.url 2025-09-07T07:39:26.6780076Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:26.6820200Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config remote.origin.url 2025-09-07T07:39:26.6833056Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:26.6870014Z 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 2025-09-07T07:39:26.7741276Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:' 2025-09-07T07:39:26.7979373Z Entering 'android/libs/fbjni' 2025-09-07T07:39:26.8014341Z Entering 'third_party/FP16' 2025-09-07T07:39:26.8049154Z Entering 'third_party/FXdiv' 2025-09-07T07:39:26.8077961Z Entering 'third_party/NNPACK' 2025-09-07T07:39:26.8110583Z Entering 'third_party/NVTX' 2025-09-07T07:39:26.8144373Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:26.8177974Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:26.8219153Z Entering 'third_party/aiter' 2025-09-07T07:39:26.8256442Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:26.8293079Z Entering 'third_party/benchmark' 2025-09-07T07:39:26.8322431Z Entering 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2025-09-07T07:39:26.9273084Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:39:26.9304813Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:39:26.9335596Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:39:26.9368158Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:26.9401320Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:26.9434354Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:26.9468430Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:39:26.9501935Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:39:26.9534147Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:39:26.9568009Z Entering 'third_party/kleidiai' 2025-09-07T07:39:26.9600854Z Entering 'third_party/mimalloc' 2025-09-07T07:39:26.9632819Z Entering 'third_party/nlohmann' 2025-09-07T07:39:26.9668357Z Entering 'third_party/onnx' 2025-09-07T07:39:26.9713214Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:26.9748128Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:39:26.9781098Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:26.9812752Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:26.9842490Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:26.9873806Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:26.9905178Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:26.9934686Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:26.9967826Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:26.9997904Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:27.0030022Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:27.0063168Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:27.0107260Z Entering 'third_party/pocketfft' 2025-09-07T07:39:27.0141395Z Entering 'third_party/protobuf' 2025-09-07T07:39:27.0176436Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:27.0207946Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:27.0242277Z Entering 'third_party/psimd' 2025-09-07T07:39:27.0276231Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:27.0308827Z Entering 'third_party/pybind11' 2025-09-07T07:39:27.0341783Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:27.0371487Z Entering 'third_party/sleef' 2025-09-07T07:39:27.0402312Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:27.0432916Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:27.0462926Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:27.0497717Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:27.0533452Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:27.0566324Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:27.0612069Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:' 2025-09-07T07:39:27.0852001Z Entering 'android/libs/fbjni' 2025-09-07T07:39:27.0881916Z Entering 'third_party/FP16' 2025-09-07T07:39:27.0913495Z Entering 'third_party/FXdiv' 2025-09-07T07:39:27.0948349Z Entering 'third_party/NNPACK' 2025-09-07T07:39:27.0977234Z Entering 'third_party/NVTX' 2025-09-07T07:39:27.1007767Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:27.1040466Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:27.1080740Z Entering 'third_party/aiter' 2025-09-07T07:39:27.1112163Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:27.1150218Z Entering 'third_party/benchmark' 2025-09-07T07:39:27.1182594Z Entering 'third_party/composable_kernel' 2025-09-07T07:39:27.1220039Z Entering 'third_party/cpp-httplib' 2025-09-07T07:39:27.1253252Z Entering 'third_party/cpuinfo' 2025-09-07T07:39:27.1284849Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:39:27.1319900Z Entering 'third_party/cutlass' 2025-09-07T07:39:27.1359417Z Entering 'third_party/fbgemm' 2025-09-07T07:39:27.1394834Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:39:27.1429861Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:39:27.1465564Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:39:27.1498004Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:39:27.1536792Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:39:27.1568521Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:39:27.1601327Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:39:27.1635830Z Entering 'third_party/flash-attention' 2025-09-07T07:39:27.1669960Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:27.1704969Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:27.1740177Z Entering 'third_party/flatbuffers' 2025-09-07T07:39:27.1775612Z Entering 'third_party/fmt' 2025-09-07T07:39:27.1809222Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:39:27.1844017Z Entering 'third_party/gloo' 2025-09-07T07:39:27.1873794Z Entering 'third_party/googletest' 2025-09-07T07:39:27.1907973Z Entering 'third_party/ideep' 2025-09-07T07:39:27.1942099Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:27.1979305Z Entering 'third_party/ittapi' 2025-09-07T07:39:27.2009710Z Entering 'third_party/kineto' 2025-09-07T07:39:27.2042104Z Entering 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'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:27.2797333Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:27.2826906Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:27.2859874Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:27.2890471Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:27.2923991Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:27.2957946Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:27.3000442Z Entering 'third_party/pocketfft' 2025-09-07T07:39:27.3034322Z Entering 'third_party/protobuf' 2025-09-07T07:39:27.3067230Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:27.3098616Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:27.3131338Z Entering 'third_party/psimd' 2025-09-07T07:39:27.3165150Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:27.3198283Z Entering 'third_party/pybind11' 2025-09-07T07:39:27.3231350Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:27.3264148Z Entering 'third_party/sleef' 2025-09-07T07:39:27.3295105Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:27.3327898Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:27.3359684Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:27.3392458Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:27.3423688Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:27.3452056Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:27.3498425Z ##[endgroup] 2025-09-07T07:39:27.3527505Z [command]/usr/bin/git log -1 --format=%H 2025-09-07T07:39:27.3546079Z 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:39:27.3617445Z ##[group]Run cd "${GITHUB_WORKSPACE}" 2025-09-07T07:39:27.3617701Z cd "${GITHUB_WORKSPACE}" 2025-09-07T07:39:27.3617932Z # Clean stale submodule dirs 2025-09-07T07:39:27.3618147Z if [ -z "${NO_SUDO}" ]; then 2025-09-07T07:39:27.3618400Z  sudo git submodule foreach --recursive git clean -ffdx 2025-09-07T07:39:27.3618648Z else 2025-09-07T07:39:27.3618861Z  git submodule foreach --recursive git clean -ffdx 2025-09-07T07:39:27.3619094Z fi 2025-09-07T07:39:27.3627448Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:27.3627698Z env: 2025-09-07T07:39:27.3627866Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:27.3628050Z NO_SUDO: true 2025-09-07T07:39:27.3628211Z ##[endgroup] 2025-09-07T07:39:27.3890896Z Entering 'android/libs/fbjni' 2025-09-07T07:39:27.3918522Z Entering 'third_party/FP16' 2025-09-07T07:39:27.3941561Z Entering 'third_party/FXdiv' 2025-09-07T07:39:27.3967590Z Entering 'third_party/NNPACK' 2025-09-07T07:39:27.3995659Z Entering 'third_party/NVTX' 2025-09-07T07:39:27.4025607Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T07:39:27.4053084Z Entering 'third_party/XNNPACK' 2025-09-07T07:39:27.4146313Z Entering 'third_party/aiter' 2025-09-07T07:39:27.4177829Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T07:39:27.4254170Z Entering 'third_party/benchmark' 2025-09-07T07:39:27.4280875Z Entering 'third_party/composable_kernel' 2025-09-07T07:39:27.4370651Z Entering 'third_party/cpp-httplib' 2025-09-07T07:39:27.4395951Z Entering 'third_party/cpuinfo' 2025-09-07T07:39:27.4424666Z Entering 'third_party/cudnn_frontend' 2025-09-07T07:39:27.4454233Z Entering 'third_party/cutlass' 2025-09-07T07:39:27.4530275Z Entering 'third_party/fbgemm' 2025-09-07T07:39:27.4572623Z Entering 'third_party/fbgemm/external/asmjit' 2025-09-07T07:39:27.4596690Z Entering 'third_party/fbgemm/external/composable_kernel' 2025-09-07T07:39:27.4672597Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T07:39:27.4699367Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T07:39:27.4772848Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T07:39:27.4796769Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T07:39:27.4817197Z Entering 'third_party/fbgemm/external/json' 2025-09-07T07:39:27.4850418Z Entering 'third_party/flash-attention' 2025-09-07T07:39:27.4883508Z Entering 'third_party/flash-attention/csrc/composable_kernel' 2025-09-07T07:39:27.4958441Z Entering 'third_party/flash-attention/csrc/cutlass' 2025-09-07T07:39:27.5018669Z Entering 'third_party/flatbuffers' 2025-09-07T07:39:27.5067499Z Entering 'third_party/fmt' 2025-09-07T07:39:27.5091828Z Entering 'third_party/gemmlowp/gemmlowp' 2025-09-07T07:39:27.5117642Z Entering 'third_party/gloo' 2025-09-07T07:39:27.5144205Z Entering 'third_party/googletest' 2025-09-07T07:39:27.5171799Z Entering 'third_party/ideep' 2025-09-07T07:39:27.5192178Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T07:39:27.5253184Z Entering 'third_party/ittapi' 2025-09-07T07:39:27.5279147Z Entering 'third_party/kineto' 2025-09-07T07:39:27.5306608Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T07:39:27.5333647Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T07:39:27.5368508Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T07:39:27.5394329Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T07:39:27.5421829Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T07:39:27.5443709Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T07:39:27.5468414Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T07:39:27.5489274Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T07:39:27.5513190Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T07:39:27.5543857Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T07:39:27.5571728Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T07:39:27.5598610Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T07:39:27.5623969Z Entering 'third_party/kleidiai' 2025-09-07T07:39:27.5654566Z Entering 'third_party/mimalloc' 2025-09-07T07:39:27.5679973Z Entering 'third_party/nlohmann' 2025-09-07T07:39:27.5712412Z Entering 'third_party/onnx' 2025-09-07T07:39:27.5928038Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T07:39:27.5953788Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T07:39:27.5991263Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T07:39:27.6015598Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T07:39:27.6042806Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T07:39:27.6066688Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T07:39:27.6098591Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T07:39:27.6123154Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T07:39:27.6147481Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T07:39:27.6173385Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T07:39:27.6208820Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T07:39:27.6233588Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T07:39:27.6402939Z Entering 'third_party/pocketfft' 2025-09-07T07:39:27.6425693Z Entering 'third_party/protobuf' 2025-09-07T07:39:27.6477732Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T07:39:27.6500184Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T07:39:27.6526206Z Entering 'third_party/psimd' 2025-09-07T07:39:27.6551211Z Entering 'third_party/pthreadpool' 2025-09-07T07:39:27.6575163Z Entering 'third_party/pybind11' 2025-09-07T07:39:27.6602346Z Entering 'third_party/python-peachpy' 2025-09-07T07:39:27.6630455Z Entering 'third_party/sleef' 2025-09-07T07:39:27.6658730Z Entering 'third_party/tensorpipe' 2025-09-07T07:39:27.6685336Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T07:39:27.6710114Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T07:39:27.6730565Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T07:39:27.6755323Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T07:39:27.6778611Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T07:39:27.6893558Z Prepare all required actions 2025-09-07T07:39:27.6894029Z Getting action download info 2025-09-07T07:39:27.7941117Z ##[group]Run ./.github/actions/setup-linux 2025-09-07T07:39:27.7941324Z env: 2025-09-07T07:39:27.7941478Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:27.7941643Z ##[endgroup] 2025-09-07T07:39:27.7971569Z ##[group]Run set -euo pipefail 2025-09-07T07:39:27.7971854Z set -euo pipefail 2025-09-07T07:39:27.7972229Z function get_ec2_metadata() { 2025-09-07T07:39:27.7972508Z  # Pulled from instance metadata endpoint for EC2 2025-09-07T07:39:27.7972959Z  # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html 2025-09-07T07:39:27.7973349Z  category=$1 2025-09-07T07:39:27.7973624Z  # If it is GCP runner (runner name contains gcp), do not run this 2025-09-07T07:39:27.7973933Z  runner_name_str=i-0f438be8fcb74e2fd 2025-09-07T07:39:27.7974237Z  if [[ -f /.inarc ]]; then 2025-09-07T07:39:27.7974492Z  echo "ARC Runner, no info on ec2 metadata" 2025-09-07T07:39:27.7974764Z  elif [[ $runner_name_str == *"gcp"* ]]; then 2025-09-07T07:39:27.7975089Z  echo "Runner is from Google Cloud Platform, No info on ec2 metadata" 2025-09-07T07:39:27.7975377Z  else 2025-09-07T07:39:27.7975955Z  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}" 2025-09-07T07:39:27.7976530Z  fi 2025-09-07T07:39:27.7976693Z } 2025-09-07T07:39:27.7976902Z echo "ami-id: $(get_ec2_metadata ami-id)" 2025-09-07T07:39:27.7977206Z echo "instance-id: $(get_ec2_metadata instance-id)" 2025-09-07T07:39:27.7977540Z echo "instance-type: $(get_ec2_metadata instance-type)" 2025-09-07T07:39:27.7977826Z echo "system info $(uname -a)" 2025-09-07T07:39:27.7982856Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:27.7983118Z env: 2025-09-07T07:39:27.7983293Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:27.7983478Z ##[endgroup] 2025-09-07T07:39:27.8095430Z ami-id: ami-05ffe3c48a9991133 2025-09-07T07:39:27.8178156Z instance-id: i-0f438be8fcb74e2fd 2025-09-07T07:39:27.8252511Z instance-type: c7i.metal-24xl 2025-09-07T07:39:27.8260229Z system info Linux ip-10-0-41-215.ec2.internal 6.1.141-155.222.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Jun 17 10:29:47 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux 2025-09-07T07:39:27.8273189Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:39:27.8273738Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:39:27.8277529Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:27.8277782Z env: 2025-09-07T07:39:27.8277932Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:27.8278115Z ##[endgroup] 2025-09-07T07:39:27.8335906Z ##[group]Run if systemctl is-active --quiet docker; then 2025-09-07T07:39:27.8336202Z if systemctl is-active --quiet docker; then 2025-09-07T07:39:27.8336458Z  echo "Docker daemon is running..."; 2025-09-07T07:39:27.8336677Z else 2025-09-07T07:39:27.8336908Z  echo "Starting docker daemon..." && sudo systemctl start docker; 2025-09-07T07:39:27.8337183Z fi 2025-09-07T07:39:27.8341404Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:27.8341652Z env: 2025-09-07T07:39:27.8341815Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:27.8342001Z ##[endgroup] 2025-09-07T07:39:27.8401918Z Docker daemon is running... 2025-09-07T07:39:27.8426657Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:39:27.8426891Z with: 2025-09-07T07:39:27.8427049Z shell: bash 2025-09-07T07:39:27.8427327Z timeout_minutes: 5 2025-09-07T07:39:27.8427516Z max_attempts: 3 2025-09-07T07:39:27.8427695Z retry_wait_seconds: 30 2025-09-07T07:39:27.8429090Z command: AWS_ACCOUNT_ID=$(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 2025-09-07T07:39:27.8430516Z polling_interval_seconds: 1 2025-09-07T07:39:27.8430720Z warning_on_retry: true 2025-09-07T07:39:27.8430903Z continue_on_error: false 2025-09-07T07:39:27.8431096Z env: 2025-09-07T07:39:27.8431263Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:27.8431457Z AWS_RETRY_MODE: standard 2025-09-07T07:39:27.8431635Z AWS_MAX_ATTEMPTS: 5 2025-09-07T07:39:27.8431825Z AWS_DEFAULT_REGION: us-east-1 2025-09-07T07:39:27.8432027Z ##[endgroup] 2025-09-07T07:39:28.7243663Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:28.7244060Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:28.7244416Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:28.7244680Z 2025-09-07T07:39:28.7244763Z Login Succeeded 2025-09-07T07:39:28.9828735Z Command completed after 1 attempt(s). 2025-09-07T07:39:28.9870558Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:28.9870887Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:28.9871162Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:39:28.9877379Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:28.9877610Z env: 2025-09-07T07:39:28.9877774Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:28.9877959Z ##[endgroup] 2025-09-07T07:39:28.9935051Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:39:28.9935404Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T07:39:28.9935666Z # shellcheck disable=SC2046 2025-09-07T07:39:28.9935900Z docker stop $(docker ps -q) || true 2025-09-07T07:39:28.9936113Z # Prune all of the docker images 2025-09-07T07:39:28.9936322Z docker system prune -af 2025-09-07T07:39:28.9940902Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:28.9941139Z env: 2025-09-07T07:39:28.9941290Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:28.9941469Z ##[endgroup] 2025-09-07T07:39:29.0338059Z "docker stop" requires at least 1 argument. 2025-09-07T07:39:29.0338346Z See 'docker stop --help'. 2025-09-07T07:39:29.0338498Z 2025-09-07T07:39:29.0338628Z Usage: docker stop [OPTIONS] CONTAINER [CONTAINER...] 2025-09-07T07:39:29.0338812Z 2025-09-07T07:39:29.0338923Z Stop one or more running containers 2025-09-07T07:39:29.0550051Z Total reclaimed space: 0B 2025-09-07T07:39:29.0576079Z ##[group]Run set +e 2025-09-07T07:39:29.0576277Z set +e 2025-09-07T07:39:29.0576447Z set -x 2025-09-07T07:39:29.0576611Z  2025-09-07T07:39:29.0576789Z PT_DOMAIN=download.pytorch.org 2025-09-07T07:39:29.0577147Z # TODO: Flaky access to download.pytorch.org https://github.com/pytorch/pytorch/issues/100400, 2025-09-07T07:39:29.0577586Z # cleaning this up once the issue is fixed. There are more than one resolved IP here, the last 2025-09-07T07:39:29.0577896Z # one is returned at random 2025-09-07T07:39:29.0578152Z RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" | tail -n1) 2025-09-07T07:39:29.0578381Z  2025-09-07T07:39:29.0578645Z if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:39:29.0578925Z  echo "Couldn't resolve ${PT_DOMAIN}, retrying with Google DNS..." 2025-09-07T07:39:29.0579247Z  RESOLVED_IP=$(dig -4 +short "${PT_DOMAIN}" @8.8.8.8 | tail -n1) 2025-09-07T07:39:29.0579494Z  2025-09-07T07:39:29.0579657Z  if [ -z "${RESOLVED_IP}" ]; then 2025-09-07T07:39:29.0579907Z  echo "Couldn't resolve ${PT_DOMAIN}, exiting..." 2025-09-07T07:39:29.0580220Z  exit 1 2025-09-07T07:39:29.0580382Z  fi 2025-09-07T07:39:29.0580525Z fi 2025-09-07T07:39:29.0580673Z  2025-09-07T07:39:29.0580851Z if grep -r "${PT_DOMAIN}" /etc/hosts; then 2025-09-07T07:39:29.0581083Z  # Clean up any old records first 2025-09-07T07:39:29.0581306Z  sudo sed -i "/${PT_DOMAIN}/d" /etc/hosts 2025-09-07T07:39:29.0581510Z fi 2025-09-07T07:39:29.0581656Z  2025-09-07T07:39:29.0581866Z echo "${RESOLVED_IP} ${PT_DOMAIN}" | sudo tee -a /etc/hosts 2025-09-07T07:39:29.0582108Z cat /etc/hosts 2025-09-07T07:39:29.0586144Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:29.0586377Z env: 2025-09-07T07:39:29.0586535Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:29.0586717Z ##[endgroup] 2025-09-07T07:39:29.0604201Z + PT_DOMAIN=download.pytorch.org 2025-09-07T07:39:29.0608798Z ++ dig -4 +short download.pytorch.org 2025-09-07T07:39:29.0609470Z ++ tail -n1 2025-09-07T07:39:29.0996143Z + RESOLVED_IP=18.160.10.36 2025-09-07T07:39:29.0996383Z + '[' -z 18.160.10.36 ']' 2025-09-07T07:39:29.0996614Z + grep -r download.pytorch.org /etc/hosts 2025-09-07T07:39:29.1009174Z + echo '18.160.10.36 download.pytorch.org' 2025-09-07T07:39:29.1009446Z + sudo tee -a /etc/hosts 2025-09-07T07:39:29.3584665Z 18.160.10.36 download.pytorch.org 2025-09-07T07:39:29.3595912Z + cat /etc/hosts 2025-09-07T07:39:29.3603422Z 127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4 2025-09-07T07:39:29.3607269Z ::1 localhost6 localhost6.localdomain6 2025-09-07T07:39:29.3607508Z 18.160.10.36 download.pytorch.org 2025-09-07T07:39:29.3704292Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main 2025-09-07T07:39:29.3704601Z with: 2025-09-07T07:39:29.3705143Z docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:29.3705700Z use-custom-docker-registry: true 2025-09-07T07:39:29.3705902Z docker-build-dir: .ci/docker 2025-09-07T07:39:29.3706096Z docker-build-script: ./build.sh 2025-09-07T07:39:29.3706292Z working-directory: . 2025-09-07T07:39:29.3706520Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:29.3706760Z force-push: false 2025-09-07T07:39:29.3706919Z env: 2025-09-07T07:39:29.3707066Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:29.3707238Z ##[endgroup] 2025-09-07T07:39:29.3718672Z ##[group]Run set -ex 2025-09-07T07:39:29.3718879Z set -ex 2025-09-07T07:39:29.3719036Z  2025-09-07T07:39:29.3719316Z # If the docker build directory or the build script doesn't exist, the action will 2025-09-07T07:39:29.3719700Z # gracefully return the docker image name as it is. Pulling docker image in Linux 2025-09-07T07:39:29.3720019Z # job could then download the pre-built image as usual 2025-09-07T07:39:29.3720419Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then 2025-09-07T07:39:29.3720792Z  echo "skip=false" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:29.3721001Z else 2025-09-07T07:39:29.3721178Z  echo "skip=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:29.3721441Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:29.3721686Z  2025-09-07T07:39:29.3722022Z  echo "Not using custom ECR registry. Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..." 2025-09-07T07:39:29.3722380Z  exit 0 2025-09-07T07:39:29.3722523Z fi 2025-09-07T07:39:29.3722669Z  2025-09-07T07:39:29.3722884Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then 2025-09-07T07:39:29.3723226Z  # The docker image name already includes the ECR prefix and tag, so we can just 2025-09-07T07:39:29.3723686Z  # use it as it is, but first let's extract the tag 2025-09-07T07:39:29.3723971Z  DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}') 2025-09-07T07:39:29.3724274Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:29.3724567Z  echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:29.3724808Z else 2025-09-07T07:39:29.3724990Z  if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then 2025-09-07T07:39:29.3725221Z  CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:} 2025-09-07T07:39:29.3725469Z  DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*} 2025-09-07T07:39:29.3725678Z  fi 2025-09-07T07:39:29.3725953Z  DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}") 2025-09-07T07:39:29.3726297Z  echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:29.3726662Z  echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:29.3727054Z  echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:29.3727312Z fi 2025-09-07T07:39:29.3732398Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:29.3732640Z env: 2025-09-07T07:39:29.3732807Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:29.3732991Z REPO_NAME: pytorch 2025-09-07T07:39:29.3733573Z DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:29.3734089Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:39:29.3734278Z DOCKER_BUILD_SCRIPT: ./build.sh 2025-09-07T07:39:29.3734520Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:29.3734767Z USE_CUSTOM_DOCKER_REGISTRY: true 2025-09-07T07:39:29.3734954Z CUSTOM_TAG_PREFIX: 2025-09-07T07:39:29.3735123Z ##[endgroup] 2025-09-07T07:39:29.3751368Z + [[ -d .ci/docker ]] 2025-09-07T07:39:29.3751689Z + [[ -f .ci/docker/./build.sh ]] 2025-09-07T07:39:29.3751930Z + [[ true == \t\r\u\e ]] 2025-09-07T07:39:29.3752130Z + echo skip=false 2025-09-07T07:39:29.3752798Z + [[ 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* ]] 2025-09-07T07:39:29.3757653Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:29.3759018Z ++ awk -F '[:,]' '{print $2}' 2025-09-07T07:39:29.3776375Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:29.3776935Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:29.3777671Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:29.3793401Z ##[group]Run set +e 2025-09-07T07:39:29.3793609Z set +e 2025-09-07T07:39:29.3793763Z set -x 2025-09-07T07:39:29.3793913Z  2025-09-07T07:39:29.3794050Z login() { 2025-09-07T07:39:29.3794359Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:39:29.3794671Z } 2025-09-07T07:39:29.3794814Z  2025-09-07T07:39:29.3794948Z retry () { 2025-09-07T07:39:29.3795124Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:39:29.3795317Z } 2025-09-07T07:39:29.3795453Z  2025-09-07T07:39:29.3795597Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:39:29.3795874Z  2025-09-07T07:39:29.3796022Z START_TIME=$(date +%s) 2025-09-07T07:39:29.3796216Z # Wait up to 120 minutes 2025-09-07T07:39:29.3796438Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do 2025-09-07T07:39:29.3796725Z  # Check if image already exists, if it does then skip building it 2025-09-07T07:39:29.3797010Z  if docker manifest inspect "${DOCKER_IMAGE}"; then 2025-09-07T07:39:29.3797229Z  exit 0 2025-09-07T07:39:29.3797374Z  fi 2025-09-07T07:39:29.3797523Z  2025-09-07T07:39:29.3797761Z  # NB: This flag is used by Docker build workflow to push the image to ECR, so we can 2025-09-07T07:39:29.3798136Z  # use this to differentiate between the Docker build and regular build jobs. For the 2025-09-07T07:39:29.3798502Z  # latter, it will wait for the Docker images to become available before continuing 2025-09-07T07:39:29.3798796Z  if [ "${DOCKER_PUSH:-false}" == "true" ]; then 2025-09-07T07:39:29.3799043Z  # It's a Docker build job, let's build the image 2025-09-07T07:39:29.3799247Z  break 2025-09-07T07:39:29.3799398Z  else 2025-09-07T07:39:29.3799600Z  # It's a regular build job, wait for the image to become available 2025-09-07T07:39:29.3799841Z  sleep 300 2025-09-07T07:39:29.3799998Z  fi 2025-09-07T07:39:29.3800143Z done 2025-09-07T07:39:29.3800277Z  2025-09-07T07:39:29.3800490Z # NB: This part requires a full checkout. Otherwise, the merge base will 2025-09-07T07:39:29.3800892Z # be empty. The default action would be to continue rebuild the image 2025-09-07T07:39:29.3801190Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then 2025-09-07T07:39:29.3801458Z  # if we're on the base branch then use the parent commit 2025-09-07T07:39:29.3801693Z  MERGE_BASE=$(git rev-parse HEAD~) 2025-09-07T07:39:29.3801890Z else 2025-09-07T07:39:29.3802093Z  # otherwise we're on a PR, so use the most recent base commit 2025-09-07T07:39:29.3802369Z  MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION") 2025-09-07T07:39:29.3802576Z fi 2025-09-07T07:39:29.3802721Z  2025-09-07T07:39:29.3802877Z if [[ -z "${MERGE_BASE}" ]]; then 2025-09-07T07:39:29.3803101Z  echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:29.3803308Z  2025-09-07T07:39:29.3803573Z  echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..." 2025-09-07T07:39:29.3803887Z  exit 0 2025-09-07T07:39:29.3804036Z fi 2025-09-07T07:39:29.3804176Z  2025-09-07T07:39:29.3804361Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then 2025-09-07T07:39:29.3804739Z  echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit" 2025-09-07T07:39:29.3805063Z  exit 1 2025-09-07T07:39:29.3805211Z fi 2025-09-07T07:39:29.3805342Z  2025-09-07T07:39:29.3805564Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}") 2025-09-07T07:39:29.3805927Z # If no image exists but the hash is the same as the previous hash then we should error out here 2025-09-07T07:39:29.3806257Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then 2025-09-07T07:39:29.3806634Z  echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch" 2025-09-07T07:39:29.3807041Z  echo " Will re-build docker image to store in local cache, TTS may be longer" 2025-09-07T07:39:29.3807299Z fi 2025-09-07T07:39:29.3807439Z  2025-09-07T07:39:29.3807609Z echo "rebuild=true" >> "${GITHUB_OUTPUT}" 2025-09-07T07:39:29.3811082Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:29.3811357Z env: 2025-09-07T07:39:29.3811518Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:29.3811702Z DOCKER_BUILD_DIR: .ci/docker 2025-09-07T07:39:29.3811924Z BASE_REVISION: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:39:29.3812470Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:29.3813151Z DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:29.3813584Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:29.3813816Z DOCKER_PUSH: 2025-09-07T07:39:29.3813970Z ##[endgroup] 2025-09-07T07:39:29.3830820Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:29.3831104Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:29.3834146Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:39:29.3835016Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:29.7422505Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:29.7422885Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:29.7423405Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:29.7423704Z Login Succeeded 2025-09-07T07:39:29.7423814Z 2025-09-07T07:39:29.7436828Z ++ date +%s 2025-09-07T07:39:29.7443608Z + START_TIME=1757230769 2025-09-07T07:39:29.7446669Z ++ date +%s 2025-09-07T07:39:29.7481450Z + [[ 1757223569 -lt 1757230769 ]] 2025-09-07T07:39:29.7482046Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:29.9692408Z { 2025-09-07T07:39:29.9692696Z "schemaVersion": 2, 2025-09-07T07:39:29.9693048Z "mediaType": "application/vnd.docker.distribution.manifest.v2+json", 2025-09-07T07:39:29.9693364Z "config": { 2025-09-07T07:39:29.9693642Z "mediaType": "application/vnd.docker.container.image.v1+json", 2025-09-07T07:39:29.9693897Z "size": 30269, 2025-09-07T07:39:29.9694174Z "digest": "sha256:662d8c9dfc7db2f5d004293de4f2b7647941dee4c916479ef082d17fcdfd9c47" 2025-09-07T07:39:29.9694461Z }, 2025-09-07T07:39:29.9694602Z "layers": [ 2025-09-07T07:39:29.9694740Z { 2025-09-07T07:39:29.9694960Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9695220Z "size": 30448359, 2025-09-07T07:39:29.9695501Z "digest": "sha256:e6fdc8487bfe6d764301ef3634bc6c043841dc3ab05ca14f81e69c0f92562d46" 2025-09-07T07:39:29.9695783Z }, 2025-09-07T07:39:29.9695919Z { 2025-09-07T07:39:29.9696129Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9696373Z "size": 1554, 2025-09-07T07:39:29.9696627Z "digest": "sha256:18a5ee5b0e2e283bf6d7b9c4c312b0448c75eff1c43446c22c5139a3aeec97fe" 2025-09-07T07:39:29.9696913Z }, 2025-09-07T07:39:29.9697041Z { 2025-09-07T07:39:29.9697241Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9697485Z "size": 313297813, 2025-09-07T07:39:29.9697748Z "digest": 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"sha256:7ddca6c4c050460204097ba875dc0fa03eca6265122a18c0b8dc5504152aea53" 2025-09-07T07:39:29.9751521Z }, 2025-09-07T07:39:29.9751651Z { 2025-09-07T07:39:29.9751854Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9752096Z "size": 1012, 2025-09-07T07:39:29.9752359Z "digest": "sha256:a95e1f2f1aadef03514a7cdbdac1fe83d4eebedbb80df9be868a223f27e1c263" 2025-09-07T07:39:29.9752645Z }, 2025-09-07T07:39:29.9752774Z { 2025-09-07T07:39:29.9752964Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9753210Z "size": 724, 2025-09-07T07:39:29.9753447Z "digest": "sha256:da63046995a2e510b7146776371a14bff4b31002cc3ef0322e45a3932fba2031" 2025-09-07T07:39:29.9753712Z }, 2025-09-07T07:39:29.9753831Z { 2025-09-07T07:39:29.9754026Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9754272Z "size": 135, 2025-09-07T07:39:29.9754518Z "digest": "sha256:8085756b0cc0f9588f23a73c27840a5dff48cc18c3a2f0311e4d1ef291855679" 2025-09-07T07:39:29.9754790Z }, 2025-09-07T07:39:29.9754912Z { 2025-09-07T07:39:29.9755109Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9755351Z "size": 32, 2025-09-07T07:39:29.9755604Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:29.9755927Z }, 2025-09-07T07:39:29.9756053Z { 2025-09-07T07:39:29.9756249Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9756491Z "size": 158, 2025-09-07T07:39:29.9756727Z "digest": "sha256:7e9ff0c6f103b18756f01c60b4d57a951660f17bffb1810b330e3ff703caf216" 2025-09-07T07:39:29.9756999Z }, 2025-09-07T07:39:29.9757129Z { 2025-09-07T07:39:29.9757331Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9757568Z "size": 1369, 2025-09-07T07:39:29.9757828Z "digest": "sha256:a625cbbc05b983aeb4c28702a4a5b65c68191ab1b8d17978f7d98cc17ddf3c52" 2025-09-07T07:39:29.9758104Z }, 2025-09-07T07:39:29.9758237Z { 2025-09-07T07:39:29.9758432Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9758677Z "size": 32, 2025-09-07T07:39:29.9758928Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:29.9759202Z }, 2025-09-07T07:39:29.9759325Z { 2025-09-07T07:39:29.9759531Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9759777Z "size": 136, 2025-09-07T07:39:29.9760016Z "digest": "sha256:4e28486424310870c8d6815524440f17c6e0afe7572eaa173a811b98b4920bed" 2025-09-07T07:39:29.9760271Z }, 2025-09-07T07:39:29.9760399Z { 2025-09-07T07:39:29.9760596Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9760839Z "size": 380, 2025-09-07T07:39:29.9761078Z "digest": "sha256:5e944f1ed1bef9442f5b1b86225d3958ea8f2f7f4c6aa7b92dc5d0c810c260bc" 2025-09-07T07:39:29.9785073Z }, 2025-09-07T07:39:29.9785232Z { 2025-09-07T07:39:29.9785599Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9785883Z "size": 32, 2025-09-07T07:39:29.9786147Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:29.9786446Z }, 2025-09-07T07:39:29.9786586Z { 2025-09-07T07:39:29.9786805Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9787061Z "size": 104, 2025-09-07T07:39:29.9787329Z "digest": "sha256:41619248f604c60e038a02bfd462af96ee2996b77be5f59f05e9ac5fe4790e5a" 2025-09-07T07:39:29.9787611Z }, 2025-09-07T07:39:29.9787746Z { 2025-09-07T07:39:29.9787944Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9788197Z "size": 407, 2025-09-07T07:39:29.9788462Z "digest": "sha256:be86f8c4f654b9ae64a20eb7f960e6ce4baa5b46e0a1f5e1312b11492a40bcd4" 2025-09-07T07:39:29.9788742Z }, 2025-09-07T07:39:29.9788866Z { 2025-09-07T07:39:29.9789070Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9789318Z "size": 32, 2025-09-07T07:39:29.9789571Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:29.9789837Z }, 2025-09-07T07:39:29.9789968Z { 2025-09-07T07:39:29.9790172Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9790421Z "size": 109, 2025-09-07T07:39:29.9790667Z "digest": "sha256:ef1340e22a4bc8cf42e1d40961cb32d183cd3da8f0b785b5425c32ee067690c1" 2025-09-07T07:39:29.9790940Z }, 2025-09-07T07:39:29.9791073Z { 2025-09-07T07:39:29.9791276Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9791516Z "size": 1897, 2025-09-07T07:39:29.9791770Z "digest": "sha256:da8d8b696333cbf6b9f339ab859639c905d6752d7e65fea14c23c3c2dcba553e" 2025-09-07T07:39:29.9792044Z }, 2025-09-07T07:39:29.9792176Z { 2025-09-07T07:39:29.9792370Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9792623Z "size": 243443118, 2025-09-07T07:39:29.9792889Z "digest": "sha256:386b0c49c4982a821fb6f427fbc7d9c7d2012e97c96a514a9c7a09304e76b935" 2025-09-07T07:39:29.9793158Z }, 2025-09-07T07:39:29.9793279Z { 2025-09-07T07:39:29.9793479Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9793723Z "size": 106, 2025-09-07T07:39:29.9795008Z "digest": "sha256:2b1d0ea7efe0bf86e86df804d2cddbf83b113fdecd03f3ddfca728da30546f34" 2025-09-07T07:39:29.9795288Z }, 2025-09-07T07:39:29.9795419Z { 2025-09-07T07:39:29.9795618Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9795864Z "size": 163, 2025-09-07T07:39:29.9796110Z "digest": "sha256:04c04be7408f20625b1bd8454e5a08c91fcf04d4f79ab3ec1b75ae6b1824174d" 2025-09-07T07:39:29.9796386Z }, 2025-09-07T07:39:29.9796517Z { 2025-09-07T07:39:29.9796720Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9796959Z "size": 7943, 2025-09-07T07:39:29.9797218Z "digest": "sha256:f8690caa3ac5e845f2dcc25ad12815b5c7452285c3838a87c780bd03ecf072a3" 2025-09-07T07:39:29.9797497Z }, 2025-09-07T07:39:29.9797627Z { 2025-09-07T07:39:29.9797821Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9798065Z "size": 8074, 2025-09-07T07:39:29.9798317Z "digest": "sha256:2908d6baaa6b21331dee5f210472cae0874d22b98b0a35420cad4fd753ed215f" 2025-09-07T07:39:29.9798591Z }, 2025-09-07T07:39:29.9798711Z { 2025-09-07T07:39:29.9798913Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9799159Z "size": 303, 2025-09-07T07:39:29.9799402Z "digest": "sha256:37e2336101eba2c73995d34431e4fae8782d9e9700c42621777922490b2158ed" 2025-09-07T07:39:29.9799664Z }, 2025-09-07T07:39:29.9799797Z { 2025-09-07T07:39:29.9799999Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9800245Z "size": 32, 2025-09-07T07:39:29.9800525Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:29.9800832Z }, 2025-09-07T07:39:29.9800962Z { 2025-09-07T07:39:29.9801168Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9801406Z "size": 108, 2025-09-07T07:39:29.9801655Z "digest": "sha256:f1ac881fde33994861be4324231269058643168b9aee60c699552d0d92d965da" 2025-09-07T07:39:29.9801931Z }, 2025-09-07T07:39:29.9802064Z { 2025-09-07T07:39:29.9802260Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9802515Z "size": 54145699, 2025-09-07T07:39:29.9802778Z "digest": "sha256:43b14c67347e2813c5f63e928c14db60dbb35c330ccc865510cf79739d8b78a1" 2025-09-07T07:39:29.9803054Z }, 2025-09-07T07:39:29.9803175Z { 2025-09-07T07:39:29.9803378Z "mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip", 2025-09-07T07:39:29.9803626Z "size": 32, 2025-09-07T07:39:29.9803879Z "digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1" 2025-09-07T07:39:29.9804151Z } 2025-09-07T07:39:29.9804282Z ] 2025-09-07T07:39:29.9804414Z } 2025-09-07T07:39:29.9804566Z + exit 0 2025-09-07T07:39:29.9825422Z ##[group]Run set -eux 2025-09-07T07:39:29.9825625Z set -eux 2025-09-07T07:39:29.9825890Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have 2025-09-07T07:39:29.9826542Z 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 2025-09-07T07:39:29.9831233Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:29.9831465Z env: 2025-09-07T07:39:29.9831610Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:29.9831790Z ##[endgroup] 2025-09-07T07:39:29.9854230Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token 2025-09-07T07:39:29.9854537Z + jq -r .docker_hub_readonly_token 2025-09-07T07:39:29.9854750Z + jq --raw-output .SecretString 2025-09-07T07:39:29.9855001Z + docker login --username pytorchbot --password-stdin 2025-09-07T07:39:30.3852783Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:30.3853162Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:30.3853718Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:30.3853942Z 2025-09-07T07:39:30.3854076Z Login Succeeded 2025-09-07T07:39:30.3935853Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:39:30.3936107Z tag=${ECR_DOCKER_IMAGE##*:} 2025-09-07T07:39:30.3936356Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}" 2025-09-07T07:39:30.3940432Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:30.3940669Z env: 2025-09-07T07:39:30.3940825Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:30.3941344Z ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:30.3941856Z ##[endgroup] 2025-09-07T07:39:30.3960333Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:30.3989293Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main 2025-09-07T07:39:30.3989577Z with: 2025-09-07T07:39:30.3990051Z docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:30.3990603Z docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:30.3990842Z env: 2025-09-07T07:39:30.3990991Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:30.3991160Z ##[endgroup] 2025-09-07T07:39:30.4000043Z ##[group]Run set -x 2025-09-07T07:39:30.4000229Z set -x 2025-09-07T07:39:30.4000384Z set +e 2025-09-07T07:39:30.4000534Z  2025-09-07T07:39:30.4000668Z login() { 2025-09-07T07:39:30.4000961Z  aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1" 2025-09-07T07:39:30.4001264Z } 2025-09-07T07:39:30.4001410Z  2025-09-07T07:39:30.4001587Z retry () { 2025-09-07T07:39:30.4001770Z  $* || (sleep 1 && $*) || (sleep 2 && $*) 2025-09-07T07:39:30.4001958Z } 2025-09-07T07:39:30.4002095Z  2025-09-07T07:39:30.4002248Z retry login "${DOCKER_REGISTRY}" 2025-09-07T07:39:30.4002438Z  2025-09-07T07:39:30.4002716Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024') 2025-09-07T07:39:30.4003089Z echo "Compressed size of image in MB: ${IMAGE_SIZE}" 2025-09-07T07:39:30.4003314Z  2025-09-07T07:39:30.4003450Z set -e 2025-09-07T07:39:30.4003659Z # ignore output since only exit code is used for conditional 2025-09-07T07:39:30.4003948Z # only pull docker image if it's not available locally 2025-09-07T07:39:30.4004259Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then 2025-09-07T07:39:30.4004558Z  retry docker pull "${DOCKER_IMAGE}" 2025-09-07T07:39:30.4004758Z fi 2025-09-07T07:39:30.4008608Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:39:30.4008837Z env: 2025-09-07T07:39:30.4008993Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:39:30.4009495Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:30.4010045Z DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:30.4010295Z ##[endgroup] 2025-09-07T07:39:30.4027140Z + set +e 2025-09-07T07:39:30.4027481Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:30.4027765Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:30.4031292Z + aws ecr get-login-password --region us-east-1 2025-09-07T07:39:30.4031708Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com 2025-09-07T07:39:30.7681774Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json. 2025-09-07T07:39:30.7682335Z Login Succeeded 2025-09-07T07:39:30.7682562Z Configure a credential helper to remove this warning. See 2025-09-07T07:39:30.7682916Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store 2025-09-07T07:39:30.7683146Z 2025-09-07T07:39:30.7696860Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024' 2025-09-07T07:39:30.7697636Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:30.9824907Z + IMAGE_SIZE=28579.020259857178 2025-09-07T07:39:30.9825193Z + echo 'Compressed size of image in MB: 28579.020259857178' 2025-09-07T07:39:30.9825437Z + set -e 2025-09-07T07:39:30.9828554Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:30.9829188Z Compressed size of image in MB: 28579.020259857178 2025-09-07T07:39:30.9921350Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:30.9922253Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:39:31.2127029Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77: Pulling from pytorch/ci-image 2025-09-07T07:39:31.2127519Z e6fdc8487bfe: Pulling fs layer 2025-09-07T07:39:31.2127714Z 18a5ee5b0e2e: Pulling fs layer 2025-09-07T07:39:31.2127899Z 572424b92528: Pulling fs layer 2025-09-07T07:39:31.2128085Z 1c35b7d4b67c: Pulling fs layer 2025-09-07T07:39:31.2128266Z 68c20f3c23bb: Pulling fs layer 2025-09-07T07:39:31.2128438Z 7efa39950d32: Pulling fs layer 2025-09-07T07:39:31.2128632Z a10eb16a7271: Pulling fs layer 2025-09-07T07:39:31.2128823Z 7d52cf579654: Pulling fs layer 2025-09-07T07:39:31.2129007Z cb6a20fcf4e2: Pulling fs layer 2025-09-07T07:39:31.2129184Z 46fb6a8b3e1d: Pulling fs layer 2025-09-07T07:39:31.2129361Z 5ad6977cc38e: Pulling fs layer 2025-09-07T07:39:31.2129538Z da63046995a2: Pulling fs layer 2025-09-07T07:39:31.2129712Z 78243fdb9906: Pulling fs layer 2025-09-07T07:39:31.2129881Z 6f70d5d50aba: Pulling fs layer 2025-09-07T07:39:31.2130132Z 4f4fb700ef54: Pulling fs layer 2025-09-07T07:39:31.2130316Z 69715d3ad3c4: Pulling fs layer 2025-09-07T07:39:31.2130503Z 7ace90c063f3: Pulling fs layer 2025-09-07T07:39:31.2130678Z acbd5447dd14: Pulling fs layer 2025-09-07T07:39:31.2130856Z 744523d9b7f5: Pulling fs layer 2025-09-07T07:39:31.2131035Z 5bd615a7b945: Pulling fs layer 2025-09-07T07:39:31.2131213Z f4986a00e3ae: Pulling fs layer 2025-09-07T07:39:31.2131383Z 21902f6e4f8c: Pulling fs layer 2025-09-07T07:39:31.2131562Z d80602abf3cc: Pulling fs layer 2025-09-07T07:39:31.2131745Z 3c51bf0bc362: Pulling fs layer 2025-09-07T07:39:31.2131928Z 119ab3bceafa: Pulling fs layer 2025-09-07T07:39:31.2132145Z af8eadc9eaab: Pulling fs layer 2025-09-07T07:39:31.2132314Z e7769b0d7a82: Pulling fs layer 2025-09-07T07:39:31.2132490Z ba263639b0f4: Pulling fs layer 2025-09-07T07:39:31.2132666Z a5ab7a280382: Pulling fs layer 2025-09-07T07:39:31.2132836Z 4f4fb700ef54: Waiting 2025-09-07T07:39:31.2133002Z 80b2232d952f: Pulling fs layer 2025-09-07T07:39:31.2133177Z a10eb16a7271: Waiting 2025-09-07T07:39:31.2133343Z cc93cd65e90f: Pulling fs layer 2025-09-07T07:39:31.2133515Z 69715d3ad3c4: Waiting 2025-09-07T07:39:31.2133673Z 0eed4c15712b: Pulling fs layer 2025-09-07T07:39:31.2133848Z 7d52cf579654: Waiting 2025-09-07T07:39:31.2134010Z 092516f71fe3: Pulling fs layer 2025-09-07T07:39:31.2134180Z 7ace90c063f3: Waiting 2025-09-07T07:39:31.2134332Z 8c0825014a62: Pulling fs layer 2025-09-07T07:39:31.2134503Z cb6a20fcf4e2: Waiting 2025-09-07T07:39:31.2134669Z 8e0d2f63da0a: Pulling fs layer 2025-09-07T07:39:31.2134847Z acbd5447dd14: Waiting 2025-09-07T07:39:31.2135204Z 73aae7958ba1: Pulling fs layer 2025-09-07T07:39:31.2135381Z ac6077ec9fa5: Pulling fs layer 2025-09-07T07:39:31.2135565Z bf4ee4e45e92: Pulling fs layer 2025-09-07T07:39:31.2135742Z 46fb6a8b3e1d: Waiting 2025-09-07T07:39:31.2135902Z c1b766f9b961: Pulling fs layer 2025-09-07T07:39:31.2136077Z 744523d9b7f5: Waiting 2025-09-07T07:39:31.2136243Z 6e726ef07b5d: Pulling fs layer 2025-09-07T07:39:31.2136411Z 5ad6977cc38e: Waiting 2025-09-07T07:39:31.2136575Z 364070434a64: Pulling fs layer 2025-09-07T07:39:31.2136749Z 71f708151a84: Pulling fs layer 2025-09-07T07:39:31.2136916Z 5bd615a7b945: Waiting 2025-09-07T07:39:31.2137061Z da63046995a2: Waiting 2025-09-07T07:39:31.2137223Z 622d8cfb39ea: Pulling fs layer 2025-09-07T07:39:31.2137397Z 284119a92cb1: Pulling fs layer 2025-09-07T07:39:31.2137565Z 78243fdb9906: Waiting 2025-09-07T07:39:31.2137715Z 96695940d842: Pulling fs layer 2025-09-07T07:39:31.2137883Z 6f70d5d50aba: Waiting 2025-09-07T07:39:31.2138156Z 7ddca6c4c050: Pulling fs layer 2025-09-07T07:39:31.2138348Z a95e1f2f1aad: Pulling fs layer 2025-09-07T07:39:31.2138514Z f4986a00e3ae: Waiting 2025-09-07T07:39:31.2138673Z 092516f71fe3: Waiting 2025-09-07T07:39:31.2138828Z 8085756b0cc0: Pulling fs layer 2025-09-07T07:39:31.2139001Z 21902f6e4f8c: Waiting 2025-09-07T07:39:31.2139151Z d80602abf3cc: Waiting 2025-09-07T07:39:31.2139318Z 7e9ff0c6f103: Pulling fs layer 2025-09-07T07:39:31.2139487Z 3c51bf0bc362: Waiting 2025-09-07T07:39:31.2139642Z 8c0825014a62: Waiting 2025-09-07T07:39:31.2139798Z a625cbbc05b9: Pulling fs layer 2025-09-07T07:39:31.2139971Z 8e0d2f63da0a: Waiting 2025-09-07T07:39:31.2140130Z 4e2848642431: Pulling fs layer 2025-09-07T07:39:31.2140295Z 80b2232d952f: Waiting 2025-09-07T07:39:31.2140446Z 5e944f1ed1be: Pulling fs layer 2025-09-07T07:39:31.2140616Z 73aae7958ba1: Waiting 2025-09-07T07:39:31.2140776Z 41619248f604: Pulling fs layer 2025-09-07T07:39:31.2140945Z cc93cd65e90f: Waiting 2025-09-07T07:39:31.2141098Z be86f8c4f654: Pulling fs layer 2025-09-07T07:39:31.2141270Z ac6077ec9fa5: Waiting 2025-09-07T07:39:31.2141431Z 119ab3bceafa: Waiting 2025-09-07T07:39:31.2141584Z 1c35b7d4b67c: Waiting 2025-09-07T07:39:31.2141728Z 0eed4c15712b: Waiting 2025-09-07T07:39:31.2141890Z ef1340e22a4b: Pulling fs layer 2025-09-07T07:39:31.2142067Z da8d8b696333: Pulling fs layer 2025-09-07T07:39:31.2142239Z bf4ee4e45e92: Waiting 2025-09-07T07:39:31.2142387Z 68c20f3c23bb: Waiting 2025-09-07T07:39:31.2142546Z 386b0c49c498: Pulling fs layer 2025-09-07T07:39:31.2142717Z c1b766f9b961: Waiting 2025-09-07T07:39:31.2142873Z 7ddca6c4c050: Waiting 2025-09-07T07:39:31.2143018Z 7efa39950d32: Waiting 2025-09-07T07:39:31.2143173Z 6e726ef07b5d: Waiting 2025-09-07T07:39:31.2143333Z 2b1d0ea7efe0: Pulling fs layer 2025-09-07T07:39:31.2143498Z a95e1f2f1aad: Waiting 2025-09-07T07:39:31.2143661Z 04c04be7408f: Pulling fs layer 2025-09-07T07:39:31.2143828Z 284119a92cb1: Waiting 2025-09-07T07:39:31.2143978Z 7e9ff0c6f103: Waiting 2025-09-07T07:39:31.2144130Z f8690caa3ac5: Pulling fs layer 2025-09-07T07:39:31.2144303Z 8085756b0cc0: Waiting 2025-09-07T07:39:31.2144455Z 96695940d842: Waiting 2025-09-07T07:39:31.2144606Z 364070434a64: Waiting 2025-09-07T07:39:31.2144754Z 2908d6baaa6b: Pulling fs layer 2025-09-07T07:39:31.2144925Z a625cbbc05b9: Waiting 2025-09-07T07:39:31.2145085Z 37e2336101eb: Pulling fs layer 2025-09-07T07:39:31.2145252Z 71f708151a84: Waiting 2025-09-07T07:39:31.2145408Z f1ac881fde33: Pulling fs layer 2025-09-07T07:39:31.2145584Z af8eadc9eaab: Waiting 2025-09-07T07:39:31.2145738Z 41619248f604: Waiting 2025-09-07T07:39:31.2145892Z 43b14c67347e: Pulling fs layer 2025-09-07T07:39:31.2146056Z 622d8cfb39ea: Waiting 2025-09-07T07:39:31.2146212Z e7769b0d7a82: Waiting 2025-09-07T07:39:31.2146363Z be86f8c4f654: Waiting 2025-09-07T07:39:31.2146516Z ef1340e22a4b: Waiting 2025-09-07T07:39:31.2146661Z 4e2848642431: Waiting 2025-09-07T07:39:31.2146813Z a5ab7a280382: Waiting 2025-09-07T07:39:31.2146965Z da8d8b696333: Waiting 2025-09-07T07:39:31.2147116Z 5e944f1ed1be: Waiting 2025-09-07T07:39:31.2147266Z ba263639b0f4: Waiting 2025-09-07T07:39:31.2147418Z 386b0c49c498: Waiting 2025-09-07T07:39:31.2147627Z f8690caa3ac5: Waiting 2025-09-07T07:39:31.2147781Z 2b1d0ea7efe0: Waiting 2025-09-07T07:39:31.2147931Z f1ac881fde33: Waiting 2025-09-07T07:39:31.2148084Z 37e2336101eb: Waiting 2025-09-07T07:39:31.2148240Z 2908d6baaa6b: Waiting 2025-09-07T07:39:31.2148394Z 43b14c67347e: Waiting 2025-09-07T07:39:31.2148620Z 04c04be7408f: Waiting 2025-09-07T07:39:31.3026344Z 18a5ee5b0e2e: Verifying Checksum 2025-09-07T07:39:31.3026559Z 18a5ee5b0e2e: Download complete 2025-09-07T07:39:31.3830721Z 1c35b7d4b67c: Verifying Checksum 2025-09-07T07:39:31.3830930Z 1c35b7d4b67c: Download complete 2025-09-07T07:39:31.4540407Z 68c20f3c23bb: Verifying Checksum 2025-09-07T07:39:31.4540629Z 68c20f3c23bb: Download complete 2025-09-07T07:39:31.5454412Z 7efa39950d32: Verifying Checksum 2025-09-07T07:39:31.5454753Z 7efa39950d32: Download complete 2025-09-07T07:39:31.5654646Z e6fdc8487bfe: Verifying Checksum 2025-09-07T07:39:31.5655177Z e6fdc8487bfe: Download complete 2025-09-07T07:39:31.6113259Z a10eb16a7271: Download complete 2025-09-07T07:39:31.6313121Z 7d52cf579654: Verifying Checksum 2025-09-07T07:39:31.6313449Z 7d52cf579654: Download complete 2025-09-07T07:39:31.7029142Z 46fb6a8b3e1d: Download complete 2025-09-07T07:39:31.7995603Z 5ad6977cc38e: Verifying Checksum 2025-09-07T07:39:31.7995862Z 5ad6977cc38e: Download complete 2025-09-07T07:39:31.8719037Z da63046995a2: Verifying Checksum 2025-09-07T07:39:31.8719377Z da63046995a2: Download complete 2025-09-07T07:39:31.9493613Z 78243fdb9906: Download complete 2025-09-07T07:39:32.1893239Z e6fdc8487bfe: Pull complete 2025-09-07T07:39:32.2092982Z 18a5ee5b0e2e: Pull complete 2025-09-07T07:39:32.7740308Z cb6a20fcf4e2: Download complete 2025-09-07T07:39:32.7817926Z 4f4fb700ef54: Verifying Checksum 2025-09-07T07:39:32.7818163Z 4f4fb700ef54: Download complete 2025-09-07T07:39:32.8604781Z 69715d3ad3c4: Verifying Checksum 2025-09-07T07:39:32.8605107Z 69715d3ad3c4: Download complete 2025-09-07T07:39:32.9375604Z 7ace90c063f3: Verifying Checksum 2025-09-07T07:39:32.9375951Z 7ace90c063f3: Download complete 2025-09-07T07:39:33.0096603Z acbd5447dd14: Download complete 2025-09-07T07:39:33.0942633Z 744523d9b7f5: Verifying Checksum 2025-09-07T07:39:33.0942989Z 744523d9b7f5: Download complete 2025-09-07T07:39:33.1633051Z 5bd615a7b945: Verifying Checksum 2025-09-07T07:39:33.1633383Z 5bd615a7b945: Download complete 2025-09-07T07:39:33.2386234Z f4986a00e3ae: Verifying Checksum 2025-09-07T07:39:33.2386566Z f4986a00e3ae: Download complete 2025-09-07T07:39:33.3143647Z 21902f6e4f8c: Verifying Checksum 2025-09-07T07:39:33.3143987Z 21902f6e4f8c: Download complete 2025-09-07T07:39:33.3976030Z d80602abf3cc: Download complete 2025-09-07T07:39:33.4891966Z 3c51bf0bc362: Verifying Checksum 2025-09-07T07:39:33.4892296Z 3c51bf0bc362: Download complete 2025-09-07T07:39:33.5825449Z 119ab3bceafa: Verifying Checksum 2025-09-07T07:39:33.5825786Z 119ab3bceafa: Download complete 2025-09-07T07:39:33.6739062Z af8eadc9eaab: Verifying Checksum 2025-09-07T07:39:33.6739346Z af8eadc9eaab: Download complete 2025-09-07T07:39:33.7668611Z e7769b0d7a82: Verifying Checksum 2025-09-07T07:39:33.7668953Z e7769b0d7a82: Download complete 2025-09-07T07:39:34.4133255Z 572424b92528: Verifying Checksum 2025-09-07T07:39:34.4133513Z 572424b92528: Download complete 2025-09-07T07:39:34.5164437Z a5ab7a280382: Download complete 2025-09-07T07:39:34.5852248Z 80b2232d952f: Verifying Checksum 2025-09-07T07:39:34.5852499Z 80b2232d952f: Download complete 2025-09-07T07:39:34.6742067Z cc93cd65e90f: Verifying Checksum 2025-09-07T07:39:34.6742414Z cc93cd65e90f: Download complete 2025-09-07T07:39:34.7440823Z 0eed4c15712b: Verifying Checksum 2025-09-07T07:39:34.7441140Z 0eed4c15712b: Download complete 2025-09-07T07:39:34.9944636Z 092516f71fe3: Verifying Checksum 2025-09-07T07:39:35.0855911Z 092516f71fe3: Download complete 2025-09-07T07:39:35.0856149Z 8c0825014a62: Verifying Checksum 2025-09-07T07:39:35.0857565Z 8c0825014a62: Download complete 2025-09-07T07:39:35.1657063Z 8e0d2f63da0a: Download complete 2025-09-07T07:39:35.2486767Z 73aae7958ba1: Verifying Checksum 2025-09-07T07:39:35.2487279Z 73aae7958ba1: Download complete 2025-09-07T07:39:35.3403512Z ac6077ec9fa5: Download complete 2025-09-07T07:39:35.4342537Z bf4ee4e45e92: Download complete 2025-09-07T07:39:38.3530593Z ba263639b0f4: Verifying Checksum 2025-09-07T07:39:38.3530957Z ba263639b0f4: Download complete 2025-09-07T07:39:38.4167485Z 6e726ef07b5d: Download complete 2025-09-07T07:39:40.5436652Z 572424b92528: Pull complete 2025-09-07T07:39:40.9197626Z 1c35b7d4b67c: Pull complete 2025-09-07T07:39:41.2103197Z 68c20f3c23bb: Pull complete 2025-09-07T07:39:41.2214663Z 364070434a64: Verifying Checksum 2025-09-07T07:39:41.2215269Z 364070434a64: Download complete 2025-09-07T07:39:41.5553349Z 7efa39950d32: Pull complete 2025-09-07T07:39:41.9365433Z a10eb16a7271: Pull complete 2025-09-07T07:39:42.2343304Z 7d52cf579654: Pull complete 2025-09-07T07:39:44.2109990Z cb6a20fcf4e2: Pull complete 2025-09-07T07:39:44.4707933Z 46fb6a8b3e1d: Pull complete 2025-09-07T07:39:44.8829905Z 5ad6977cc38e: Pull complete 2025-09-07T07:39:45.4282650Z da63046995a2: Pull complete 2025-09-07T07:39:45.9643949Z 78243fdb9906: Pull complete 2025-09-07T07:40:05.9635721Z 6f70d5d50aba: Verifying Checksum 2025-09-07T07:40:05.9636128Z 6f70d5d50aba: Download complete 2025-09-07T07:40:06.0548432Z 622d8cfb39ea: Download complete 2025-09-07T07:40:06.1425089Z 284119a92cb1: Verifying Checksum 2025-09-07T07:40:06.1425475Z 284119a92cb1: Download complete 2025-09-07T07:40:06.2170449Z 96695940d842: Download complete 2025-09-07T07:40:06.2804736Z 7ddca6c4c050: Download complete 2025-09-07T07:40:06.3492904Z a95e1f2f1aad: Download complete 2025-09-07T07:40:06.4368019Z 8085756b0cc0: Download complete 2025-09-07T07:40:06.5072216Z 7e9ff0c6f103: Verifying Checksum 2025-09-07T07:40:06.5072546Z 7e9ff0c6f103: Download complete 2025-09-07T07:40:06.6171079Z a625cbbc05b9: Verifying Checksum 2025-09-07T07:40:06.6171315Z a625cbbc05b9: Download complete 2025-09-07T07:40:06.6888399Z 4e2848642431: Verifying Checksum 2025-09-07T07:40:06.6888757Z 4e2848642431: Download complete 2025-09-07T07:40:06.7580970Z 5e944f1ed1be: Verifying Checksum 2025-09-07T07:40:06.7581319Z 5e944f1ed1be: Download complete 2025-09-07T07:40:06.8477931Z 41619248f604: Verifying Checksum 2025-09-07T07:40:06.8479811Z 41619248f604: Download complete 2025-09-07T07:40:06.9592878Z be86f8c4f654: Download complete 2025-09-07T07:40:07.0484967Z ef1340e22a4b: Verifying Checksum 2025-09-07T07:40:07.0485365Z ef1340e22a4b: Download complete 2025-09-07T07:40:07.1203727Z da8d8b696333: Download complete 2025-09-07T07:40:09.6083880Z 386b0c49c498: Verifying Checksum 2025-09-07T07:40:09.6084280Z 386b0c49c498: Download complete 2025-09-07T07:40:09.6755405Z 2b1d0ea7efe0: Verifying Checksum 2025-09-07T07:40:09.6755679Z 2b1d0ea7efe0: Download complete 2025-09-07T07:40:09.7433190Z 04c04be7408f: Download complete 2025-09-07T07:40:09.8296747Z f8690caa3ac5: Download complete 2025-09-07T07:40:09.8999876Z 2908d6baaa6b: Verifying Checksum 2025-09-07T07:40:09.9000248Z 2908d6baaa6b: Download complete 2025-09-07T07:40:09.9859077Z 37e2336101eb: Verifying Checksum 2025-09-07T07:40:09.9859392Z 37e2336101eb: Download complete 2025-09-07T07:40:10.0707719Z f1ac881fde33: Verifying Checksum 2025-09-07T07:40:10.0708059Z f1ac881fde33: Download complete 2025-09-07T07:40:10.6748180Z 43b14c67347e: Verifying Checksum 2025-09-07T07:40:10.6748551Z 43b14c67347e: Download complete 2025-09-07T07:40:41.4744599Z 6f70d5d50aba: Pull complete 2025-09-07T07:40:41.7205149Z 4f4fb700ef54: Pull complete 2025-09-07T07:40:41.9406354Z 69715d3ad3c4: Pull complete 2025-09-07T07:40:42.2338351Z 7ace90c063f3: Pull complete 2025-09-07T07:40:42.4867003Z 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sha256:383efb45082f20b8c808cb0ba4df693a01359592233f641f1f486911ac320a9a 2025-09-07T07:46:13.6003749Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:13.6237528Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:13.6292332Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:46:13.6292915Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT" 2025-09-07T07:46:13.6300327Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:13.6300564Z env: 2025-09-07T07:46:13.6300725Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:13.6300908Z ##[endgroup] 2025-09-07T07:46:13.6365082Z Prepare all required actions 2025-09-07T07:46:13.6387364Z ##[group]Run ./.github/actions/get-workflow-job-id 2025-09-07T07:46:13.6387585Z with: 2025-09-07T07:46:13.6388087Z github-token: *** 2025-09-07T07:46:13.6388242Z env: 2025-09-07T07:46:13.6388395Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:13.6388566Z ##[endgroup] 2025-09-07T07:46:13.6559689Z ##[group]Run set -eux 2025-09-07T07:46:13.6559870Z set -eux 2025-09-07T07:46:13.6560146Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T07:46:13.6564360Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:13.6564588Z env: 2025-09-07T07:46:13.6564737Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:13.6565049Z GITHUB_TOKEN: *** 2025-09-07T07:46:13.6565209Z ##[endgroup] 2025-09-07T07:46:13.6581433Z + python3 .github/scripts/get_workflow_job_id.py 17525285611 i-0f438be8fcb74e2fd 2025-09-07T07:46:14.3245977Z Setting output job-id=49775585826 2025-09-07T07:46:14.3246581Z Setting output job-name=inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T07:46:14.3350885Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:46:14.3351304Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84 2025-09-07T07:46:14.3351836Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 & 2025-09-07T07:46:14.3352310Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:14.3355816Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:14.3356047Z env: 2025-09-07T07:46:14.3356201Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:14.3356373Z JOB_ID: 49775585826 2025-09-07T07:46:14.3356695Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T07:46:14.3357062Z WORKFLOW_NAME: inductor-perf-nightly-x86 2025-09-07T07:46:14.3357309Z WORKFLOW_RUN_ID: 17525285611 2025-09-07T07:46:14.3357479Z MONITOR_LOG_INTERVAL: 15 2025-09-07T07:46:14.3357656Z MONITOR_DATA_COLLECT_INTERVAL: 4 2025-09-07T07:46:14.3357841Z ##[endgroup] 2025-09-07T07:46:15.0173904Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:46:15.2766845Z Collecting psutil==5.9.8 2025-09-07T07:46:15.3041123Z 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) 2025-09-07T07:46:15.4598366Z Collecting dataclasses_json==0.6.7 2025-09-07T07:46:15.4675273Z Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB) 2025-09-07T07:46:15.5006429Z Collecting nvidia-ml-py==11.525.84 2025-09-07T07:46:15.5085511Z Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB) 2025-09-07T07:46:15.6051569Z Collecting marshmallow<4.0.0,>=3.18.0 2025-09-07T07:46:15.6130239Z Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB) 2025-09-07T07:46:15.7199024Z Collecting typing-inspect<1,>=0.4.0 2025-09-07T07:46:15.7275589Z Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB) 2025-09-07T07:46:15.8547214Z Collecting packaging>=17.0 2025-09-07T07:46:15.8625385Z Downloading packaging-25.0-py3-none-any.whl (66 kB) 2025-09-07T07:46:15.9606919Z Collecting mypy-extensions>=0.3.0 2025-09-07T07:46:15.9684257Z Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB) 2025-09-07T07:46:16.0984452Z Collecting typing-extensions>=3.7.4 2025-09-07T07:46:16.1062870Z Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB) 2025-09-07T07:46:16.3569058Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json 2025-09-07T07:46:16.9455845Z 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 2025-09-07T07:46:17.1327895Z Prepare all required actions 2025-09-07T07:46:17.1328155Z Getting action download info 2025-09-07T07:46:17.2758946Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6) 2025-09-07T07:46:17.5878205Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093) 2025-09-07T07:46:17.8108176Z ##[group]Run ./.github/actions/download-build-artifacts 2025-09-07T07:46:17.8108516Z with: 2025-09-07T07:46:17.8108681Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:17.8108878Z s3-bucket: gha-artifacts 2025-09-07T07:46:17.8109046Z env: 2025-09-07T07:46:17.8109192Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:17.8109359Z ##[endgroup] 2025-09-07T07:46:17.8203425Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:46:17.8203644Z with: 2025-09-07T07:46:17.8203812Z name: linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:17.8204020Z s3-bucket: gha-artifacts 2025-09-07T07:46:17.8204232Z region: us-east-1 2025-09-07T07:46:17.8204376Z env: 2025-09-07T07:46:17.8204520Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:17.8204687Z ##[endgroup] 2025-09-07T07:46:18.4102315Z (node:57385) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:46:18.4102609Z 2025-09-07T07:46:18.4102735Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:46:18.4103063Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:46:18.4103435Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:46:19.2229493Z Found 1 objects with prefix pytorch/pytorch/17525285611/linux-jammy-py3.9-gcc11-build/ 2025-09-07T07:46:19.2229952Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:46:23.8369341Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip 2025-09-07T07:46:23.8374887Z Artifact download has finished successfully 2025-09-07T07:46:23.8606382Z ##[group]Run unzip -o artifacts.zip 2025-09-07T07:46:23.8606601Z unzip -o artifacts.zip 2025-09-07T07:46:23.8611115Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:23.8611345Z env: 2025-09-07T07:46:23.8611495Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:23.8611668Z ##[endgroup] 2025-09-07T07:46:23.9473048Z Archive: artifacts.zip 2025-09-07T07:46:23.9473753Z creating: dist/ 2025-09-07T07:46:24.9575178Z inflating: dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:24.9575474Z creating: dist/vision/ 2025-09-07T07:46:24.9646912Z inflating: dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:24.9647244Z creating: dist/audio/ 2025-09-07T07:46:24.9674281Z inflating: dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:46:24.9674570Z creating: dist/ao/ 2025-09-07T07:46:24.9710018Z inflating: dist/ao/torchao-0.7.0+git51c87b6e-py3-none-any.whl 2025-09-07T07:46:24.9815062Z inflating: dist/.ninja_log 2025-09-07T07:46:24.9816409Z creating: build/custom_test_artifacts/ 2025-09-07T07:46:24.9816707Z creating: build/custom_test_artifacts/custom-op-build/ 2025-09-07T07:46:24.9817028Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/ 2025-09-07T07:46:24.9817383Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/pkgRedirects/ 2025-09-07T07:46:24.9819637Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/CMakeConfigureLog.yaml 2025-09-07T07:46:24.9820040Z creating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/ 2025-09-07T07:46:24.9820418Z inflating: build/custom_test_artifacts/custom-op-build/CMakeFiles/4.0.0/CMakeSystem.cmake 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build/bin/c10_DeviceGuard_test 2025-09-07T07:46:29.2235272Z inflating: build/bin/c10_Device_test 2025-09-07T07:46:29.2291150Z inflating: build/bin/c10_DispatchKeySet_test 2025-09-07T07:46:29.2337884Z inflating: build/bin/c10_StreamGuard_test 2025-09-07T07:46:29.2389134Z inflating: build/bin/c10_Scalar_test 2025-09-07T07:46:29.2442976Z inflating: build/bin/c10_SymInt_test 2025-09-07T07:46:29.2494524Z inflating: build/bin/c10_InlineDeviceGuard_test 2025-09-07T07:46:29.2547421Z inflating: build/bin/c10_SizesAndStrides_test 2025-09-07T07:46:29.2600160Z inflating: build/bin/c10_InlineStreamGuard_test 2025-09-07T07:46:29.2647230Z inflating: build/bin/c10_ArrayRef_test 2025-09-07T07:46:29.2694031Z inflating: build/bin/c10_ConstexprCrc_test 2025-09-07T07:46:29.2759491Z inflating: build/bin/c10_cow_test 2025-09-07T07:46:29.2809766Z inflating: build/bin/c10_Bitset_test 2025-09-07T07:46:29.2863419Z inflating: build/bin/c10_Enumerate_test 2025-09-07T07:46:29.2910733Z inflating: build/bin/c10_DeadlockDetection_test 2025-09-07T07:46:29.2961027Z inflating: build/bin/c10_IntrusiveList_test 2025-09-07T07:46:29.3013856Z inflating: build/bin/c10_LeftRight_test 2025-09-07T07:46:29.3062080Z inflating: build/bin/c10_Half_test 2025-09-07T07:46:29.3114820Z inflating: build/bin/c10_Metaprogramming_test 2025-09-07T07:46:29.3165451Z inflating: build/bin/c10_NetworkFlow_test 2025-09-07T07:46:29.3212709Z inflating: build/bin/c10_Semaphore_test 2025-09-07T07:46:29.3260178Z inflating: build/bin/c10_Synchronized_test 2025-09-07T07:46:29.3309414Z inflating: build/bin/c10_TypeIndex_test 2025-09-07T07:46:29.3362180Z inflating: build/bin/c10_ThreadLocal_test 2025-09-07T07:46:29.3410756Z inflating: build/bin/c10_TypeList_test 2025-09-07T07:46:29.3457540Z inflating: build/bin/c10_TypeTraits_test 2025-09-07T07:46:29.3506673Z inflating: build/bin/c10_accumulate_test 2025-09-07T07:46:29.3559565Z inflating: build/bin/c10_bfloat16_test 2025-09-07T07:46:29.3607550Z inflating: build/bin/c10_bit_cast_test 2025-09-07T07:46:29.3661284Z inflating: build/bin/c10_complex_math_test 2025-09-07T07:46:29.3714307Z inflating: build/bin/c10_complex_test 2025-09-07T07:46:29.3762194Z inflating: build/bin/c10_error_test 2025-09-07T07:46:29.3812695Z inflating: build/bin/c10_exception_test 2025-09-07T07:46:29.3861373Z inflating: build/bin/c10_flags_test 2025-09-07T07:46:29.3909958Z inflating: build/bin/c10_generic_math_test 2025-09-07T07:46:29.3959136Z inflating: build/bin/c10_irange_test 2025-09-07T07:46:29.4105725Z inflating: build/bin/c10_intrusive_ptr_test 2025-09-07T07:46:29.4156718Z inflating: build/bin/c10_lazy_test 2025-09-07T07:46:29.4211108Z inflating: build/bin/c10_logging_test 2025-09-07T07:46:29.4280882Z inflating: build/bin/c10_optional_test 2025-09-07T07:46:29.4339112Z inflating: build/bin/c10_ordered_preserving_dict_test 2025-09-07T07:46:29.4389869Z inflating: build/bin/c10_registry_test 2025-09-07T07:46:29.4527262Z inflating: build/bin/c10_small_vector_test 2025-09-07T07:46:29.4576482Z inflating: build/bin/c10_ssize_test 2025-09-07T07:46:29.4629905Z inflating: build/bin/c10_string_util_test 2025-09-07T07:46:29.4676862Z inflating: build/bin/c10_string_view_test 2025-09-07T07:46:29.4724883Z inflating: build/bin/c10_tempfile_test 2025-09-07T07:46:29.4778311Z inflating: build/bin/c10_typeid_test 2025-09-07T07:46:29.4820191Z inflating: build/bin/c10_intrusive_ptr_benchmark 2025-09-07T07:46:29.5329119Z inflating: build/bin/vec_test_all_types_DEFAULT 2025-09-07T07:46:29.5854644Z inflating: build/bin/vec_test_all_types_AVX512 2025-09-07T07:46:29.6383813Z inflating: build/bin/vec_test_all_types_AVX2 2025-09-07T07:46:29.6433794Z inflating: build/bin/static_runtime_bench 2025-09-07T07:46:29.6656845Z inflating: build/bin/static_runtime_test 2025-09-07T07:46:29.6724440Z inflating: build/bin/Dict_test 2025-09-07T07:46:29.6774023Z inflating: build/bin/Dimname_test 2025-09-07T07:46:29.6834836Z inflating: build/bin/MaybeOwned_test 2025-09-07T07:46:29.6889028Z inflating: build/bin/NamedTensor_test 2025-09-07T07:46:29.6944121Z inflating: build/bin/apply_utils_test 2025-09-07T07:46:29.6999625Z inflating: build/bin/atest 2025-09-07T07:46:29.7059889Z inflating: build/bin/basic 2025-09-07T07:46:29.7112251Z inflating: build/bin/broadcast_test 2025-09-07T07:46:29.7161018Z inflating: build/bin/cpu_allocator_test 2025-09-07T07:46:29.7215840Z inflating: build/bin/cpu_generator_test 2025-09-07T07:46:29.7266344Z inflating: build/bin/cpu_profiling_allocator_test 2025-09-07T07:46:29.7350879Z inflating: build/bin/cpu_rng_test 2025-09-07T07:46:29.7399720Z inflating: build/bin/dlconvertor_test 2025-09-07T07:46:29.7453892Z inflating: build/bin/extension_backend_test 2025-09-07T07:46:29.7506578Z inflating: build/bin/half_test 2025-09-07T07:46:29.7594907Z inflating: build/bin/ivalue_test 2025-09-07T07:46:29.7642258Z inflating: build/bin/lazy_tensor_test 2025-09-07T07:46:29.7693035Z inflating: build/bin/math_kernel_test 2025-09-07T07:46:29.7743976Z inflating: build/bin/memory_format_test 2025-09-07T07:46:29.7795187Z inflating: build/bin/memory_overlapping_test 2025-09-07T07:46:29.7845475Z inflating: build/bin/mobile_memory_cleanup 2025-09-07T07:46:29.7898749Z inflating: build/bin/native_test 2025-09-07T07:46:29.7947311Z inflating: build/bin/operator_name_test 2025-09-07T07:46:29.7995519Z inflating: build/bin/operators_test 2025-09-07T07:46:29.8044986Z inflating: build/bin/packedtensoraccessor_test 2025-09-07T07:46:29.8107785Z inflating: build/bin/pow_test 2025-09-07T07:46:29.8162176Z inflating: build/bin/quantized_test 2025-09-07T07:46:29.8209804Z inflating: build/bin/reduce_ops_test 2025-09-07T07:46:29.8258373Z inflating: build/bin/reportMemoryUsage_test 2025-09-07T07:46:29.8311874Z inflating: build/bin/scalar_tensor_test 2025-09-07T07:46:29.8367451Z inflating: build/bin/scalar_test 2025-09-07T07:46:29.8416340Z inflating: build/bin/StorageUtils_test 2025-09-07T07:46:29.8465795Z inflating: build/bin/stride_properties_test 2025-09-07T07:46:29.8538312Z inflating: build/bin/tensor_iterator_test 2025-09-07T07:46:29.8590021Z inflating: build/bin/test_parallel 2025-09-07T07:46:29.8638121Z inflating: build/bin/thread_init_test 2025-09-07T07:46:29.8690598Z inflating: build/bin/type_ptr_test 2025-09-07T07:46:29.8746500Z inflating: build/bin/type_test 2025-09-07T07:46:29.8796506Z inflating: build/bin/undefined_tensor_test 2025-09-07T07:46:29.8843618Z inflating: build/bin/verify_api_visibility 2025-09-07T07:46:29.8909211Z inflating: build/bin/legacy_vmap_test 2025-09-07T07:46:29.8957734Z inflating: build/bin/weakref_test 2025-09-07T07:46:29.9006822Z inflating: build/bin/wrapdim_test 2025-09-07T07:46:29.9055795Z inflating: build/bin/xla_tensor_test 2025-09-07T07:46:29.9112066Z inflating: build/bin/IListRef_test 2025-09-07T07:46:29.9208043Z inflating: build/bin/List_test 2025-09-07T07:46:29.9269995Z inflating: build/bin/KernelFunction_test 2025-09-07T07:46:29.9378685Z inflating: build/bin/kernel_function_legacy_test 2025-09-07T07:46:29.9465881Z inflating: build/bin/kernel_function_test 2025-09-07T07:46:29.9579278Z inflating: build/bin/kernel_lambda_legacy_test 2025-09-07T07:46:29.9671515Z inflating: build/bin/kernel_lambda_test 2025-09-07T07:46:29.9728215Z inflating: build/bin/kernel_stackbased_test 2025-09-07T07:46:29.9815048Z inflating: build/bin/make_boxed_from_unboxed_functor_test 2025-09-07T07:46:29.9863446Z inflating: build/bin/CppSignature_test 2025-09-07T07:46:29.9915764Z inflating: build/bin/backend_fallback_test 2025-09-07T07:46:30.0186859Z inflating: build/bin/op_registration_test 2025-09-07T07:46:30.0233000Z inflating: build/bin/op_allowlist_test 2025-09-07T07:46:30.0295584Z inflating: build/bin/inline_container_test 2025-09-07T07:46:30.1260219Z inflating: build/bin/test_jit 2025-09-07T07:46:30.1308805Z inflating: build/bin/FileStoreTest 2025-09-07T07:46:30.1358683Z inflating: build/bin/BackoffTest 2025-09-07T07:46:30.1412506Z inflating: build/bin/TCPStoreTest 2025-09-07T07:46:30.1745382Z inflating: build/bin/test_nativert 2025-09-07T07:46:30.1796728Z inflating: build/bin/HashStoreTest 2025-09-07T07:46:30.1797725Z inflating: build/bin/example_allreduce 2025-09-07T07:46:30.1859627Z inflating: build/bin/ProcessGroupGlooTest 2025-09-07T07:46:30.1911730Z inflating: build/bin/test_dist_autograd 2025-09-07T07:46:30.1975272Z inflating: build/bin/test_cpp_rpc 2025-09-07T07:46:30.2965708Z inflating: build/bin/test_api 2025-09-07T07:46:30.2966604Z inflating: build/bin/parallel_benchmark 2025-09-07T07:46:30.3267061Z inflating: build/bin/test_lazy 2025-09-07T07:46:30.3268520Z inflating: build/bin/torch_shm_manager 2025-09-07T07:46:30.3268778Z creating: .additional_ci_files/ 2025-09-07T07:46:30.3344474Z inflating: .additional_ci_files/test-times.json 2025-09-07T07:46:30.3639093Z inflating: .additional_ci_files/test-class-times.json 2025-09-07T07:46:30.3678371Z ##[group]Run rm artifacts.zip 2025-09-07T07:46:30.3678587Z rm artifacts.zip 2025-09-07T07:46:30.3683102Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:30.3683336Z env: 2025-09-07T07:46:30.3683485Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:30.3683659Z ##[endgroup] 2025-09-07T07:46:30.4038331Z ##[group]Run df -H 2025-09-07T07:46:30.4038513Z df -H 2025-09-07T07:46:30.4042421Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:30.4042645Z env: 2025-09-07T07:46:30.4042807Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:30.4042982Z ##[endgroup] 2025-09-07T07:46:30.4073842Z Filesystem Size Used Avail Use% Mounted on 2025-09-07T07:46:30.4074086Z devtmpfs 4.2M 0 4.2M 0% /dev 2025-09-07T07:46:30.4074293Z tmpfs 102G 0 102G 0% /dev/shm 2025-09-07T07:46:30.4074504Z tmpfs 41G 11M 41G 1% /run 2025-09-07T07:46:30.4074708Z /dev/nvme0n1p1 215G 72G 144G 34% / 2025-09-07T07:46:30.4074919Z tmpfs 102G 13k 102G 1% /tmp 2025-09-07T07:46:30.4075135Z /dev/nvme0n1p128 11M 1.4M 9.2M 13% /boot/efi 2025-09-07T07:46:30.4095187Z Prepare all required actions 2025-09-07T07:46:30.4095822Z Getting action download info 2025-09-07T07:46:30.5618250Z ##[group]Run ./.github/actions/download-td-artifacts 2025-09-07T07:46:30.5618467Z with: 2025-09-07T07:46:30.5618610Z env: 2025-09-07T07:46:30.5618759Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:30.5618933Z ##[endgroup] 2025-09-07T07:46:31.0955824Z ##[group]Run seemethere/download-artifact-s3@v4 2025-09-07T07:46:31.0956043Z with: 2025-09-07T07:46:31.0956183Z name: td_results 2025-09-07T07:46:31.0956349Z s3-bucket: gha-artifacts 2025-09-07T07:46:31.0956529Z region: us-east-1 2025-09-07T07:46:31.0956681Z env: 2025-09-07T07:46:31.0956815Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:31.0956984Z ##[endgroup] 2025-09-07T07:46:31.4084721Z (node:57408) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023. 2025-09-07T07:46:31.4085003Z 2025-09-07T07:46:31.4085426Z Please migrate your code to use AWS SDK for JavaScript (v3). 2025-09-07T07:46:31.4085756Z For more information, check the migration guide at https://a.co/7PzMCcy 2025-09-07T07:46:31.5064663Z (Use `node --trace-warnings ...` to show where the warning was created) 2025-09-07T07:46:31.5065012Z Found 0 objects with prefix pytorch/pytorch/17525285611/td_results/ 2025-09-07T07:46:31.5066836Z Artifact download has finished successfully 2025-09-07T07:46:31.5243387Z ##[group]Run mkdir -p .additional_ci_files 2025-09-07T07:46:31.5243632Z mkdir -p .additional_ci_files 2025-09-07T07:46:31.5243901Z mv td_results.json .additional_ci_files/td_results.json || true 2025-09-07T07:46:31.5248898Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:31.5249125Z env: 2025-09-07T07:46:31.5249277Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:31.5249449Z ##[endgroup] 2025-09-07T07:46:31.5286687Z mv: cannot stat 'td_results.json': No such file or directory 2025-09-07T07:46:31.5514903Z ##[group]Run .github/scripts/parse_ref.py 2025-09-07T07:46:31.5515140Z .github/scripts/parse_ref.py 2025-09-07T07:46:31.5519369Z shell: /usr/bin/bash -e {0} 2025-09-07T07:46:31.5519553Z env: 2025-09-07T07:46:31.5519710Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:31.5519881Z ##[endgroup] 2025-09-07T07:46:31.5930835Z Setting output branch=main 2025-09-07T07:46:31.6010324Z Prepare all required actions 2025-09-07T07:46:31.6010614Z Getting action download info 2025-09-07T07:46:31.7148061Z ##[group]Run ./.github/actions/filter-test-configs 2025-09-07T07:46:31.7148280Z with: 2025-09-07T07:46:31.7148669Z github-token: *** 2025-09-07T07:46:31.7150795Z test-matrix: {"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T07:46:31.7153157Z job-name: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T07:46:31.7153502Z env: 2025-09-07T07:46:31.7153651Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:31.7153816Z ##[endgroup] 2025-09-07T07:46:31.7242910Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T07:46:31.7243113Z with: 2025-09-07T07:46:31.7243265Z shell: bash 2025-09-07T07:46:31.7243423Z timeout_minutes: 10 2025-09-07T07:46:31.7243587Z max_attempts: 5 2025-09-07T07:46:31.7243748Z retry_wait_seconds: 30 2025-09-07T07:46:31.7244194Z 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 2025-09-07T07:46:31.7244649Z polling_interval_seconds: 1 2025-09-07T07:46:31.7244830Z warning_on_retry: true 2025-09-07T07:46:31.7244997Z continue_on_error: false 2025-09-07T07:46:31.7245165Z env: 2025-09-07T07:46:31.7245299Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:31.7245695Z GITHUB_TOKEN: *** 2025-09-07T07:46:31.7245854Z ##[endgroup] 2025-09-07T07:46:31.8467202Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2 2025-09-07T07:46:32.0071780Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T07:46:32.1260299Z Collecting requests==2.27.1 2025-09-07T07:46:32.1366232Z Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB) 2025-09-07T07:46:32.3011867Z Collecting pyyaml==6.0.2 2025-09-07T07:46:32.3038594Z Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB) 2025-09-07T07:46:32.6576428Z Collecting charset-normalizer~=2.0.0 2025-09-07T07:46:32.6605227Z Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB) 2025-09-07T07:46:32.7822312Z Collecting certifi>=2017.4.17 2025-09-07T07:46:32.7846820Z Downloading certifi-2025.8.3-py3-none-any.whl (161 kB) 2025-09-07T07:46:32.8356436Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10) 2025-09-07T07:46:32.8359768Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10) 2025-09-07T07:46:32.8915679Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml 2025-09-07T07:46:33.2873374Z Successfully installed certifi-2025.8.3 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1 2025-09-07T07:46:33.7801650Z Command completed after 1 attempt(s). 2025-09-07T07:46:33.7853526Z ##[group]Run set -x 2025-09-07T07:46:33.7853718Z set -x 2025-09-07T07:46:33.7853876Z  2025-09-07T07:46:33.7854103Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:46:33.7854388Z # in runner workspace 2025-09-07T07:46:33.7854629Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py" 2025-09-07T07:46:33.7858832Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:33.7859059Z env: 2025-09-07T07:46:33.7859217Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:33.7859392Z ##[endgroup] 2025-09-07T07:46:33.7875868Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py 2025-09-07T07:46:33.8002501Z Setting output branch=main 2025-09-07T07:46:33.8072267Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:46:33.8072549Z echo "Workflow: ${GITHUB_WORKFLOW}" 2025-09-07T07:46:33.8072769Z echo "Job name: ${JOB_NAME}" 2025-09-07T07:46:33.8072955Z  2025-09-07T07:46:33.8073201Z # Use relative path here as this could be checked out anywhere, not necessarily 2025-09-07T07:46:33.8073491Z # in runner workspace 2025-09-07T07:46:33.8073786Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \ 2025-09-07T07:46:33.8074076Z  --workflow "${GITHUB_WORKFLOW}" \ 2025-09-07T07:46:33.8074282Z  --job-name "${JOB_NAME}" \ 2025-09-07T07:46:33.8076463Z  --test-matrix "{"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]}" \ 2025-09-07T07:46:33.8078885Z  --selected-test-configs "" \ 2025-09-07T07:46:33.8079110Z  --pr-number "${PR_NUMBER}" \ 2025-09-07T07:46:33.8079308Z  --tag "${TAG}" \ 2025-09-07T07:46:33.8079509Z  --event-name "${EVENT_NAME}" \ 2025-09-07T07:46:33.8079725Z  --schedule "${SCHEDULE}" \ 2025-09-07T07:46:33.8079936Z  --branch "${HEAD_BRANCH}" 2025-09-07T07:46:33.8084463Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:33.8084693Z env: 2025-09-07T07:46:33.8084848Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:33.8085233Z GITHUB_TOKEN: *** 2025-09-07T07:46:33.8085568Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T07:46:33.8085926Z PR_NUMBER: 2025-09-07T07:46:33.8086072Z TAG: 2025-09-07T07:46:33.8086222Z EVENT_NAME: schedule 2025-09-07T07:46:33.8086391Z SCHEDULE: 0 7 * * * 2025-09-07T07:46:33.8086553Z HEAD_BRANCH: main 2025-09-07T07:46:33.8086716Z ##[endgroup] 2025-09-07T07:46:33.8102825Z Workflow: inductor-perf-nightly-x86 2025-09-07T07:46:33.8103216Z Job name: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T07:46:33.9514516Z Setting output keep-going=True 2025-09-07T07:46:33.9514736Z Setting output ci-verbose-test-logs=False 2025-09-07T07:46:33.9514963Z Setting output ci-test-showlocals=False 2025-09-07T07:46:33.9515178Z Setting output ci-no-test-timeout=False 2025-09-07T07:46:33.9515384Z Setting output ci-no-td=False 2025-09-07T07:46:33.9515579Z Setting output ci-td-distributed=False 2025-09-07T07:46:33.9515792Z Setting output is-unstable=False 2025-09-07T07:46:33.9516003Z Setting output reenabled-issues= 2025-09-07T07:46:33.9518276Z Setting output test-matrix={"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]} 2025-09-07T07:46:33.9520669Z Setting output is-test-matrix-empty=False 2025-09-07T07:46:33.9647926Z ##[group]Run echo "Filtered matrix:" 2025-09-07T07:46:33.9648163Z echo "Filtered matrix:" 2025-09-07T07:46:33.9650399Z echo "{"include": [{"config": "inductor_huggingface_perf_cpu_x86", "shard": 1, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 2, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_huggingface_perf_cpu_x86", "shard": 3, "num_shards": 3, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 1, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 2, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 3, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 4, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_timm_perf_cpu_x86", "shard": 5, "num_shards": 5, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 1, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 2, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 3, "num_shards": 4, "runner": "linux.24xl.spr-metal"}, {"config": "inductor_torchbench_perf_cpu_x86", "shard": 4, "num_shards": 4, "runner": "linux.24xl.spr-metal"}]}" 2025-09-07T07:46:33.9652786Z  2025-09-07T07:46:33.9652942Z echo 2025-09-07T07:46:33.9653135Z echo "Is the current job unstable? False" 2025-09-07T07:46:33.9653356Z  2025-09-07T07:46:33.9653495Z echo 2025-09-07T07:46:33.9653675Z echo "Is keep-going label set? True" 2025-09-07T07:46:33.9653883Z  2025-09-07T07:46:33.9654025Z echo 2025-09-07T07:46:33.9654907Z echo "Reenabled issues? " 2025-09-07T07:46:33.9658760Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:33.9658993Z env: 2025-09-07T07:46:33.9659146Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:33.9659317Z ##[endgroup] 2025-09-07T07:46:33.9674806Z Filtered matrix: 2025-09-07T07:46:33.9677696Z {include: [{config: inductor_huggingface_perf_cpu_x86, shard: 1, num_shards: 3, runner: linux.24xl.spr-metal}, {config: inductor_huggingface_perf_cpu_x86, shard: 2, num_shards: 3, runner: linux.24xl.spr-metal}, {config: inductor_huggingface_perf_cpu_x86, shard: 3, num_shards: 3, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 1, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 2, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 3, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 4, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_timm_perf_cpu_x86, shard: 5, num_shards: 5, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 1, num_shards: 4, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 2, num_shards: 4, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 3, num_shards: 4, runner: linux.24xl.spr-metal}, {config: inductor_torchbench_perf_cpu_x86, shard: 4, num_shards: 4, runner: linux.24xl.spr-metal}]} 2025-09-07T07:46:33.9679809Z 2025-09-07T07:46:33.9679886Z Is the current job unstable? False 2025-09-07T07:46:33.9680018Z 2025-09-07T07:46:33.9680100Z Is keep-going label set? True 2025-09-07T07:46:33.9680215Z 2025-09-07T07:46:33.9680286Z Reenabled issues? 2025-09-07T07:46:33.9747943Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:33.9748264Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}" 2025-09-07T07:46:33.9751782Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:33.9752017Z env: 2025-09-07T07:46:33.9752172Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:33.9752347Z JOB_TIMEOUT: 720 2025-09-07T07:46:33.9752498Z ##[endgroup] 2025-09-07T07:46:34.0424842Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:34.0425172Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:34.0425436Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}" 2025-09-07T07:46:34.0428888Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T07:46:34.0429119Z env: 2025-09-07T07:46:34.0429276Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:34.0429551Z ##[endgroup] 2025-09-07T07:46:34.0574752Z ##[group]Run set -x 2025-09-07T07:46:34.0574995Z set -x 2025-09-07T07:46:34.0575139Z  2025-09-07T07:46:34.0575312Z if [[ $TEST_CONFIG == 'multigpu' ]]; then 2025-09-07T07:46:34.0575561Z  TEST_COMMAND=.ci/pytorch/multigpu-test.sh 2025-09-07T07:46:34.0575806Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then 2025-09-07T07:46:34.0576020Z  TEST_COMMAND=.ci/onnx/test.sh 2025-09-07T07:46:34.0576211Z else 2025-09-07T07:46:34.0576379Z  TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:46:34.0576571Z fi 2025-09-07T07:46:34.0576703Z  2025-09-07T07:46:34.0576876Z # Leaving 1GB for the runner and other things 2025-09-07T07:46:34.0577218Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo) 2025-09-07T07:46:34.0577742Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap 2025-09-07T07:46:34.0578154Z # comes from https://github.com/pytorch/test-infra/pull/6058 2025-09-07T07:46:34.0578459Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3)) 2025-09-07T07:46:34.0578704Z  2025-09-07T07:46:34.0578880Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:46:34.0579094Z  SHM_OPTS= 2025-09-07T07:46:34.0579253Z  JENKINS_USER= 2025-09-07T07:46:34.0579483Z  # ensure that docker container cleanly exits in 12 hours 2025-09-07T07:46:34.0579764Z  # if for some reason cleanup action doesn't stop container 2025-09-07T07:46:34.0580000Z  # when job is cancelled 2025-09-07T07:46:34.0580197Z  DOCKER_SHELL_CMD="sleep 12h" 2025-09-07T07:46:34.0580379Z else 2025-09-07T07:46:34.0580553Z  SHM_OPTS="--shm-size=${SHM_SIZE}" 2025-09-07T07:46:34.0580764Z  JENKINS_USER="--user jenkins" 2025-09-07T07:46:34.0580967Z  DOCKER_SHELL_CMD= 2025-09-07T07:46:34.0581131Z fi 2025-09-07T07:46:34.0581273Z  2025-09-07T07:46:34.0581484Z # detached container should get cleaned up by teardown_ec2_linux 2025-09-07T07:46:34.0581796Z # TODO: Stop building test binaries as part of the build phase 2025-09-07T07:46:34.0582131Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice 2025-09-07T07:46:34.0582434Z # shellcheck disable=SC2086,SC2090 2025-09-07T07:46:34.0582641Z container_name=$(docker run \ 2025-09-07T07:46:34.0582839Z  ${GPU_FLAG:-} \ 2025-09-07T07:46:34.0583038Z  ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \ 2025-09-07T07:46:34.0583243Z  -e BUILD_ENVIRONMENT \ 2025-09-07T07:46:34.0583431Z  -e PR_NUMBER \ 2025-09-07T07:46:34.0583608Z  -e GITHUB_ACTIONS \ 2025-09-07T07:46:34.0583792Z  -e GITHUB_REPOSITORY \ 2025-09-07T07:46:34.0583982Z  -e GITHUB_WORKFLOW \ 2025-09-07T07:46:34.0584165Z  -e GITHUB_JOB \ 2025-09-07T07:46:34.0584339Z  -e GITHUB_RUN_ID \ 2025-09-07T07:46:34.0584519Z  -e GITHUB_RUN_NUMBER \ 2025-09-07T07:46:34.0584695Z  -e GITHUB_RUN_ATTEMPT \ 2025-09-07T07:46:34.0584882Z  -e JOB_ID \ 2025-09-07T07:46:34.0585055Z  -e JOB_NAME \ 2025-09-07T07:46:34.0585223Z  -e BASE_SHA \ 2025-09-07T07:46:34.0585384Z  -e BRANCH \ 2025-09-07T07:46:34.0585544Z  -e SHA1 \ 2025-09-07T07:46:34.0585708Z  -e AWS_DEFAULT_REGION \ 2025-09-07T07:46:34.0585892Z  -e IN_WHEEL_TEST \ 2025-09-07T07:46:34.0586060Z  -e SHARD_NUMBER \ 2025-09-07T07:46:34.0586236Z  -e TEST_CONFIG \ 2025-09-07T07:46:34.0586409Z  -e NUM_TEST_SHARDS \ 2025-09-07T07:46:34.0586594Z  -e REENABLED_ISSUES \ 2025-09-07T07:46:34.0586781Z  -e CONTINUE_THROUGH_ERROR \ 2025-09-07T07:46:34.0587139Z  -e VERBOSE_TEST_LOGS \ 2025-09-07T07:46:34.0587331Z  -e TEST_SHOWLOCALS \ 2025-09-07T07:46:34.0587517Z  -e NO_TEST_TIMEOUT \ 2025-09-07T07:46:34.0587682Z  -e NO_TD \ 2025-09-07T07:46:34.0587852Z  -e TD_DISTRIBUTED \ 2025-09-07T07:46:34.0588033Z  -e PR_LABELS \ 2025-09-07T07:46:34.0588225Z  -e MAX_JOBS="$(nproc --ignore=2)" \ 2025-09-07T07:46:34.0588427Z  -e SCCACHE_BUCKET \ 2025-09-07T07:46:34.0588609Z  -e SCCACHE_REGION \ 2025-09-07T07:46:34.0588784Z  -e XLA_CUDA \ 2025-09-07T07:46:34.0588974Z  -e XLA_CLANG_CACHE_S3_BUCKET_NAME \ 2025-09-07T07:46:34.0589202Z  -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \ 2025-09-07T07:46:34.0589423Z  -e PYTORCH_TEST_RERUN_DISABLED_TESTS \ 2025-09-07T07:46:34.0589649Z  -e SKIP_SCCACHE_INITIALIZATION=1 \ 2025-09-07T07:46:34.0589861Z  -e HUGGING_FACE_HUB_TOKEN \ 2025-09-07T07:46:34.0590072Z  -e VLLM_TEST_HUGGING_FACE_TOKEN \ 2025-09-07T07:46:34.0590276Z  -e SCRIBE_GRAPHQL_ACCESS_TOKEN \ 2025-09-07T07:46:34.0590475Z  -e DASHBOARD_TAG \ 2025-09-07T07:46:34.0590658Z  -e ARTIFACTS_FILE_SUFFIX \ 2025-09-07T07:46:34.0590881Z  --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \ 2025-09-07T07:46:34.0591123Z  --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \ 2025-09-07T07:46:34.0591373Z  --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \ 2025-09-07T07:46:34.0591608Z  --security-opt seccomp=unconfined \ 2025-09-07T07:46:34.0591814Z  --cap-add=SYS_PTRACE \ 2025-09-07T07:46:34.0591999Z  --ipc=host \ 2025-09-07T07:46:34.0592159Z  ${SHM_OPTS} \ 2025-09-07T07:46:34.0592320Z  --tty \ 2025-09-07T07:46:34.0592479Z  --detach \ 2025-09-07T07:46:34.0592653Z  --name="${container_name}" \ 2025-09-07T07:46:34.0592841Z  ${JENKINS_USER} \ 2025-09-07T07:46:34.0593067Z  -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \ 2025-09-07T07:46:34.0593309Z  -w /var/lib/jenkins/workspace \ 2025-09-07T07:46:34.0593506Z  "${DOCKER_IMAGE}" \ 2025-09-07T07:46:34.0593675Z  ${DOCKER_SHELL_CMD} 2025-09-07T07:46:34.0593846Z ) 2025-09-07T07:46:34.0594033Z # Propagate download.pytorch.org IP to container 2025-09-07T07:46:34.0594423Z grep download.pytorch.org /etc/hosts | docker exec -i "${container_name}" sudo bash -c "/bin/cat >> /etc/hosts" 2025-09-07T07:46:34.0594823Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}" 2025-09-07T07:46:34.0595057Z  2025-09-07T07:46:34.0595231Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then 2025-09-07T07:46:34.0595567Z  docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt" 2025-09-07T07:46:34.0595867Z fi 2025-09-07T07:46:34.0596007Z  2025-09-07T07:46:34.0596301Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}" 2025-09-07T07:46:34.0600047Z shell: /usr/bin/bash -e {0} 2025-09-07T07:46:34.0600230Z env: 2025-09-07T07:46:34.0600375Z GIT_DEFAULT_BRANCH: main 2025-09-07T07:46:34.0600594Z BUILD_ENVIRONMENT: linux-jammy-py3.9-gcc11-build 2025-09-07T07:46:34.0600811Z PR_NUMBER: 2025-09-07T07:46:34.0600981Z GITHUB_REPOSITORY: pytorch/pytorch 2025-09-07T07:46:34.0601198Z GITHUB_WORKFLOW: inductor-perf-nightly-x86 2025-09-07T07:46:34.0601403Z GITHUB_JOB: test 2025-09-07T07:46:34.0601562Z GITHUB_RUN_ID: 17525285611 2025-09-07T07:46:34.0601736Z GITHUB_RUN_NUMBER: 525 2025-09-07T07:46:34.0601898Z GITHUB_RUN_ATTEMPT: 1 2025-09-07T07:46:34.0602074Z JOB_ID: 49775585826 2025-09-07T07:46:34.0602435Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T07:46:34.0602828Z BRANCH: main 2025-09-07T07:46:34.0603070Z SHA1: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:34.0603304Z BASE_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:46:34.0603544Z TEST_CONFIG: inductor_torchbench_perf_cpu_x86 2025-09-07T07:46:34.0603750Z SHARD_NUMBER: 3 2025-09-07T07:46:34.0603904Z NUM_TEST_SHARDS: 4 2025-09-07T07:46:34.0604055Z REENABLED_ISSUES: 2025-09-07T07:46:34.0604220Z CONTINUE_THROUGH_ERROR: True 2025-09-07T07:46:34.0604397Z VERBOSE_TEST_LOGS: False 2025-09-07T07:46:34.0604574Z TEST_SHOWLOCALS: False 2025-09-07T07:46:34.0604738Z NO_TEST_TIMEOUT: False 2025-09-07T07:46:34.0604899Z NO_TD: False 2025-09-07T07:46:34.0605048Z TD_DISTRIBUTED: False 2025-09-07T07:46:34.0605247Z SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2 2025-09-07T07:46:34.0605465Z SCCACHE_REGION: us-east-1 2025-09-07T07:46:34.0605636Z SHM_SIZE: 1g 2025-09-07T07:46:34.0606119Z DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-ae53c6842aa4c2407d0ad976491ca941c2635c77 2025-09-07T07:46:34.0606612Z XLA_CUDA: 2025-09-07T07:46:34.0606842Z XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:46:34.0607110Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0 2025-09-07T07:46:34.0607317Z PYTORCH_TEST_RERUN_DISABLED_TESTS: 0 2025-09-07T07:46:34.0607763Z DASHBOARD_TAG: training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:46:34.0608344Z VLLM_TEST_HUGGING_FACE_TOKEN: *** 2025-09-07T07:46:34.0608606Z HUGGING_FACE_HUB_TOKEN: *** 2025-09-07T07:46:34.0608861Z SCRIBE_GRAPHQL_ACCESS_TOKEN: *** 2025-09-07T07:46:34.0609173Z ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826 2025-09-07T07:46:34.0609487Z ##[endgroup] 2025-09-07T07:46:34.0626123Z + [[ inductor_torchbench_perf_cpu_x86 == \m\u\l\t\i\g\p\u ]] 2025-09-07T07:46:34.0626431Z + [[ linux-jammy-py3.9-gcc11-build == *onnx* ]] 2025-09-07T07:46:34.0626694Z + TEST_COMMAND=.ci/pytorch/test.sh 2025-09-07T07:46:34.0628641Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo 2025-09-07T07:46:34.0642160Z + TOTAL_AVAILABLE_MEMORY_IN_GB='187.488 ' 2025-09-07T07:46:34.0642430Z + TOTAL_MEMORY_WITH_SWAP=190 2025-09-07T07:46:34.0642721Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T07:46:34.0642955Z + SHM_OPTS=--shm-size=1g 2025-09-07T07:46:34.0643135Z + JENKINS_USER='--user jenkins' 2025-09-07T07:46:34.0643319Z + DOCKER_SHELL_CMD= 2025-09-07T07:46:34.0650011Z +++ nproc --ignore=2 2025-09-07T07:46:34.1077620Z ++ 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_17525285611 --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 2025-09-07T07:49:10.8632742Z + container_name=6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T07:49:10.8634191Z + grep download.pytorch.org /etc/hosts 2025-09-07T07:49:10.8635572Z + docker exec -i 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba sudo bash -c '/bin/cat >> /etc/hosts' 2025-09-07T07:49:10.9777717Z + echo DOCKER_CONTAINER_ID=6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T07:49:10.9778365Z + [[ linux-jammy-py3.9-gcc11-build == *\s\3\9\0\x* ]] 2025-09-07T07:49:10.9781481Z ++ echo dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:10.9783242Z + docker exec -t 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba sh -c 'python3 -m pip install dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh' 2025-09-07T07:49:11.2909013Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp39-cp39-linux_x86_64.whl (from torch==2.9.0a0+git93fb23d) 2025-09-07T07:49:11.4882226Z 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) 2025-09-07T07:49:11.4883030Z 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) 2025-09-07T07:49:11.4883738Z 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) 2025-09-07T07:49:11.4884390Z 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) 2025-09-07T07:49:11.4885878Z 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) 2025-09-07T07:49:11.4888942Z 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) 2025-09-07T07:49:11.4898633Z 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) 2025-09-07T07:49:11.5160640Z 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) 2025-09-07T07:49:11.5171658Z 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) 2025-09-07T07:49:11.5199596Z 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) 2025-09-07T07:49:12.2066014Z Installing collected packages: torch 2025-09-07T07:49:18.6515801Z 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. 2025-09-07T07:49:18.6516426Z dall-e 0.1 requires torchvision, which is not installed. 2025-09-07T07:49:18.6516713Z effdet 0.4.1 requires torchvision, which is not installed. 2025-09-07T07:49:18.6517054Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed. 2025-09-07T07:49:18.6517493Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed. 2025-09-07T07:49:18.6517945Z timm 1.0.14 requires torchvision, which is not installed. 2025-09-07T07:49:18.6518264Z Successfully installed torch-2.9.0a0+git93fb23d 2025-09-07T07:49:18.7385710Z + export TERM=vt100 2025-09-07T07:49:18.7385919Z + TERM=vt100 2025-09-07T07:49:18.7386093Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:49:18.7389163Z + source .ci/pytorch/common.sh 2025-09-07T07:49:18.7392151Z +++ dirname .ci/pytorch/common.sh 2025-09-07T07:49:18.7397161Z ++ source .ci/pytorch/common_utils.sh 2025-09-07T07:49:18.7397957Z +++ declare -f -t trap_add 2025-09-07T07:49:18.7401092Z ++ set -ex -o pipefail 2025-09-07T07:49:18.7401320Z ++ [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:49:18.7401548Z ++ BUILD_TEST_LIBTORCH=0 2025-09-07T07:49:18.7406126Z ++ dirname .ci/pytorch/test.sh 2025-09-07T07:49:18.7411075Z + source .ci/pytorch/common-build.sh 2025-09-07T07:49:18.7412026Z ++ [[ linux-jammy-py3.9-gcc11-build != *win-* ]] 2025-09-07T07:49:18.7419356Z ++++ dirname .ci/pytorch/common-build.sh 2025-09-07T07:49:18.7432786Z +++ cd .ci/pytorch 2025-09-07T07:49:18.7433201Z +++ pwd -P 2025-09-07T07:49:18.7434711Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch 2025-09-07T07:49:18.7435024Z ++ [[ linux-jammy-py3.9-gcc11-build == *-pch* ]] 2025-09-07T07:49:18.7435266Z ++ which sccache 2025-09-07T07:49:18.7449903Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]] 2025-09-07T07:49:18.7450136Z ++ sccache --stop-server 2025-09-07T07:49:18.7470927Z ++ true 2025-09-07T07:49:18.7471100Z ++ rm -f /var/lib/jenkins/sccache_error.log 2025-09-07T07:49:18.7475344Z ++ trap_add sccache_epilogue EXIT 2025-09-07T07:49:18.7475566Z ++ trap_add_cmd=sccache_epilogue 2025-09-07T07:49:18.7475757Z ++ shift 2025-09-07T07:49:18.7475918Z ++ for trap_add_name in "$@" 2025-09-07T07:49:18.7480090Z ++++ trap -p EXIT 2025-09-07T07:49:18.7481185Z +++ eval 'extract_trap_cmd ' 2025-09-07T07:49:18.7481406Z ++++ extract_trap_cmd 2025-09-07T07:49:18.7481611Z ++++ printf '%s\n' '' 2025-09-07T07:49:18.7482017Z +++ printf '%s\n' sccache_epilogue 2025-09-07T07:49:18.7482678Z ++ trap -- ' 2025-09-07T07:49:18.7482865Z sccache_epilogue' EXIT 2025-09-07T07:49:18.7486237Z ++ [[ -n 1 ]] 2025-09-07T07:49:18.7486524Z ++ echo 'Skipping sccache server initialization, setting environment variables' 2025-09-07T07:49:18.7486921Z Skipping sccache server initialization, setting environment variables 2025-09-07T07:49:18.7487212Z ++ export SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:18.7487411Z ++ SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:18.7487659Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:18.7488010Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:18.7488308Z ++ export RUST_LOG=sccache::server=error 2025-09-07T07:49:18.7488526Z ++ RUST_LOG=sccache::server=error 2025-09-07T07:49:18.7488730Z ++ sccache --zero-stats 2025-09-07T07:49:18.8941859Z Statistics zeroed. 2025-09-07T07:49:18.8947596Z ++ which ccache 2025-09-07T07:49:18.8962938Z + [[ linux-jammy-py3.9-gcc11-build != *rocm* ]] 2025-09-07T07:49:18.8963239Z + [[ linux-jammy-py3.9-gcc11-build != *s390x* ]] 2025-09-07T07:49:18.8963521Z + [[ -d /var/lib/jenkins/workspace ]] 2025-09-07T07:49:18.8965686Z ++ stat -c %u /var/lib/jenkins/workspace 2025-09-07T07:49:18.8974870Z + WORKSPACE_ORIGINAL_OWNER_ID=1000 2025-09-07T07:49:18.8975108Z + trap_add cleanup_workspace EXIT 2025-09-07T07:49:18.8975349Z + trap_add_cmd=cleanup_workspace 2025-09-07T07:49:18.8975566Z + shift 2025-09-07T07:49:18.8975744Z + for trap_add_name in "$@" 2025-09-07T07:49:18.8981007Z +++ trap -p EXIT 2025-09-07T07:49:18.8982839Z ++ eval 'extract_trap_cmd trap -- '\'' 2025-09-07T07:49:18.8983108Z sccache_epilogue'\'' EXIT' 2025-09-07T07:49:18.8983333Z +++ extract_trap_cmd trap -- ' 2025-09-07T07:49:18.8983542Z sccache_epilogue' EXIT 2025-09-07T07:49:18.8983739Z +++ printf '%s\n' ' 2025-09-07T07:49:18.8983928Z sccache_epilogue' 2025-09-07T07:49:18.8984129Z ++ printf '%s\n' cleanup_workspace 2025-09-07T07:49:18.8985119Z + trap -- ' 2025-09-07T07:49:18.8985323Z sccache_epilogue 2025-09-07T07:49:18.8985532Z cleanup_workspace' EXIT 2025-09-07T07:49:18.8985799Z + sudo chown -R jenkins /var/lib/jenkins/workspace 2025-09-07T07:49:19.2940809Z + git config --global --add safe.directory /var/lib/jenkins/workspace 2025-09-07T07:49:19.2951823Z + echo 'Environment variables:' 2025-09-07T07:49:19.2952078Z Environment variables: 2025-09-07T07:49:19.2952289Z + env 2025-09-07T07:49:19.2958238Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:49:19.2958591Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:49:19.2958840Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T07:49:19.2959715Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:49:19.2959923Z HOSTNAME=6b6865ae7987 2025-09-07T07:49:19.2960290Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_2da2042a-276b-4d0e-a16d-321ccccf92d0 2025-09-07T07:49:19.2960700Z GITHUB_ACTION=__run_2 2025-09-07T07:49:19.2960905Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:49:19.2961133Z GITHUB_RUN_NUMBER=525 2025-09-07T07:49:19.2961347Z TEST_CONFIG=inductor_torchbench_perf_cpu_x86 2025-09-07T07:49:19.2961607Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:49:19.2961835Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:49:19.2962046Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:19.2962307Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:49:19.2962511Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:49:19.2962717Z GITHUB_REF_TYPE=branch 2025-09-07T07:49:19.2962947Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:19.2963167Z XLA_CUDA= 2025-09-07T07:49:19.2963333Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:49:19.2963629Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:49:19.2963978Z *** 2025-09-07T07:49:19.2964137Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:49:19.2964329Z GITHUB_ACTIONS=true 2025-09-07T07:49:19.2964524Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:19.2964828Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:19.2965072Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:19.2965464Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-x86.yml@refs/heads/main 2025-09-07T07:49:19.2965818Z UCC_HOME=/usr 2025-09-07T07:49:19.2965977Z VERBOSE_TEST_LOGS=False 2025-09-07T07:49:19.2966153Z GITHUB_REF=refs/heads/main 2025-09-07T07:49:19.2966332Z SHARD_NUMBER=3 2025-09-07T07:49:19.2966501Z GITHUB_REF_PROTECTED=true 2025-09-07T07:49:19.2966675Z HOME=/var/lib/jenkins 2025-09-07T07:49:19.2966870Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:49:19.2967093Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:49:19.2967288Z UCX_COMMIT= 2025-09-07T07:49:19.2967431Z USE_SYSTEM_NCCL=1 2025-09-07T07:49:19.2967592Z NUM_TEST_SHARDS=4 2025-09-07T07:49:19.2967745Z UCX_HOME=/usr 2025-09-07T07:49:19.2968092Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_2da2042a-276b-4d0e-a16d-321ccccf92d0 2025-09-07T07:49:19.2968637Z JOB_NAME=inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T07:49:19.2969160Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_2da2042a-276b-4d0e-a16d-321ccccf92d0 2025-09-07T07:49:19.2969627Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:49:19.2969929Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:49:19.2970375Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:49:19.2970826Z GITHUB_RUN_ID=17525285611 2025-09-07T07:49:19.2971012Z INSTALLED_OPENBLAS= 2025-09-07T07:49:19.2971379Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_2da2042a-276b-4d0e-a16d-321ccccf92d0 2025-09-07T07:49:19.2971777Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:49:19.2971964Z PR_NUMBER= 2025-09-07T07:49:19.2972105Z DESIRED_CUDA= 2025-09-07T07:49:19.2972261Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:49:19.2972441Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T07:49:19.2972655Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:49:19.2972877Z TERM=vt100 2025-09-07T07:49:19.2973028Z INSTALLED_VISION=yes 2025-09-07T07:49:19.2973193Z BRANCH=main 2025-09-07T07:49:19.2973342Z SCCACHE_REGION=us-east-1 2025-09-07T07:49:19.2973529Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:49:19.2973724Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:49:19.2974045Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:49:19.2974383Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:49:19.2974712Z UCC_COMMIT= 2025-09-07T07:49:19.2974868Z REENABLED_ISSUES= 2025-09-07T07:49:19.2975031Z DOCS=yes 2025-09-07T07:49:19.2975171Z SHLVL=1 2025-09-07T07:49:19.2975324Z MAX_JOBS=94 2025-09-07T07:49:19.2975484Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:49:19.2975708Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:19.2975948Z GITHUB_REF_NAME=main 2025-09-07T07:49:19.2976200Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:49:19.2976464Z GITHUB_JOB=test 2025-09-07T07:49:19.2976628Z NO_TEST_TIMEOUT=False 2025-09-07T07:49:19.2976788Z TD_DISTRIBUTED=False 2025-09-07T07:49:19.2976967Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:49:19.2977165Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:49:19.2977342Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:49:19.2977513Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:49:19.2977979Z 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 2025-09-07T07:49:19.2978437Z GITHUB_BASE_REF= 2025-09-07T07:49:19.2978599Z INSTALLED_ACL= 2025-09-07T07:49:19.2978892Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826 2025-09-07T07:49:19.2979216Z CI=true 2025-09-07T07:49:19.2979372Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:49:19.2979612Z RUST_LOG=sccache::server=error 2025-09-07T07:49:19.2979786Z JOB_ID=49775585826 2025-09-07T07:49:19.2979942Z GITHUB_HEAD_REF= 2025-09-07T07:49:19.2980101Z GITHUB_ACTION_REF= 2025-09-07T07:49:19.2980298Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:49:19.2980518Z TEST_SHOWLOCALS=False 2025-09-07T07:49:19.2980710Z GITHUB_WORKFLOW=inductor-perf-nightly-x86 2025-09-07T07:49:19.2980930Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:49:19.2981303Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_2da2042a-276b-4d0e-a16d-321ccccf92d0 2025-09-07T07:49:19.2981669Z NO_TD=False 2025-09-07T07:49:19.2981832Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:49:19.2982035Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:49:19.2982242Z _=/usr/bin/env 2025-09-07T07:49:19.2982464Z ++ python -c 'import site; print(site.getsitepackages()[0])' 2025-09-07T07:49:19.3257271Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch 2025-09-07T07:49:19.3261448Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/bin 2025-09-07T07:49:19.3261847Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/lib 2025-09-07T07:49:19.3262222Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/test 2025-09-07T07:49:19.3262498Z + BUILD_DIR=build 2025-09-07T07:49:19.3262685Z + BUILD_RENAMED_DIR=build_renamed 2025-09-07T07:49:19.3262892Z + BUILD_BIN_DIR=build/bin 2025-09-07T07:49:19.3263080Z + SHARD_NUMBER=3 2025-09-07T07:49:19.3263235Z + NUM_TEST_SHARDS=4 2025-09-07T07:49:19.3263416Z + export TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:19.3263650Z + TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:19.3263838Z + export VALGRIND=ON 2025-09-07T07:49:19.3263997Z + VALGRIND=ON 2025-09-07T07:49:19.3264190Z + [[ linux-jammy-py3.9-gcc11-build == *clang9* ]] 2025-09-07T07:49:19.3264435Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:49:19.3264646Z + detect_cuda_arch 2025-09-07T07:49:19.3264824Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:49:19.3265061Z + [[ linux-jammy-py3.9-gcc11-build == *s390x* ]] 2025-09-07T07:49:19.3265266Z + [[ 0 == \1 ]] 2025-09-07T07:49:19.3265416Z + [[ True == \1 ]] 2025-09-07T07:49:19.3265589Z + [[ linux-jammy-py3.9-gcc11-build != *bazel* ]] 2025-09-07T07:49:19.3265815Z ++ realpath build/custom_test_artifacts 2025-09-07T07:49:19.3266129Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts 2025-09-07T07:49:19.3266426Z + [[ -n '' ]] 2025-09-07T07:49:19.3266589Z + echo 'Environment variables' 2025-09-07T07:49:19.3266773Z Environment variables 2025-09-07T07:49:19.3267156Z + env 2025-09-07T07:49:19.3282958Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch 2025-09-07T07:49:19.3283249Z CONTINUE_THROUGH_ERROR=True 2025-09-07T07:49:19.3283465Z BUILD_ENVIRONMENT=linux-jammy-py3.9-gcc11-build 2025-09-07T07:49:19.3283867Z VLLM_TEST_HUGGING_FACE_TOKEN=*** 2025-09-07T07:49:19.3284066Z HOSTNAME=6b6865ae7987 2025-09-07T07:49:19.3284428Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_2da2042a-276b-4d0e-a16d-321ccccf92d0 2025-09-07T07:49:19.3284797Z GITHUB_ACTION=__run_2 2025-09-07T07:49:19.3284977Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0 2025-09-07T07:49:19.3285178Z GITHUB_RUN_NUMBER=525 2025-09-07T07:49:19.3285375Z TEST_CONFIG=inductor_torchbench_perf_cpu_x86 2025-09-07T07:49:19.3285596Z GITHUB_REPOSITORY_OWNER_ID=21003710 2025-09-07T07:49:19.3285818Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all 2025-09-07T07:49:19.3286027Z SCCACHE_IDLE_TIMEOUT=0 2025-09-07T07:49:19.3286286Z SCRIBE_GRAPHQL_ACCESS_TOKEN=*** 2025-09-07T07:49:19.3286544Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot 2025-09-07T07:49:19.3286756Z GITHUB_REF_TYPE=branch 2025-09-07T07:49:19.3286949Z BASE_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:19.3287166Z XLA_CUDA= 2025-09-07T07:49:19.3287325Z NCCL_LIB_DIR=/usr/local/cuda/lib64/ 2025-09-07T07:49:19.3287627Z HUGGING_FACE_HUB_TOKEN=*** 2025-09-07T07:49:19.3287849Z *** 2025-09-07T07:49:19.3287999Z GITHUB_REPOSITORY_ID=65600975 2025-09-07T07:49:19.3288190Z GITHUB_ACTIONS=true 2025-09-07T07:49:19.3288398Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log 2025-09-07T07:49:19.3288652Z SHA1=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:19.3288897Z GITHUB_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:19.3289292Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor-perf-test-nightly-x86.yml@refs/heads/main 2025-09-07T07:49:19.3289645Z UCC_HOME=/usr 2025-09-07T07:49:19.3289809Z TORCH_SERIALIZATION_DEBUG=1 2025-09-07T07:49:19.3289986Z VERBOSE_TEST_LOGS=False 2025-09-07T07:49:19.3290174Z GITHUB_REF=refs/heads/main 2025-09-07T07:49:19.3290353Z SHARD_NUMBER=3 2025-09-07T07:49:19.3290520Z GITHUB_REF_PROTECTED=true 2025-09-07T07:49:19.3290698Z HOME=/var/lib/jenkins 2025-09-07T07:49:19.3290893Z GITHUB_API_URL=https://api.github.com 2025-09-07T07:49:19.3291120Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0 2025-09-07T07:49:19.3291316Z UCX_COMMIT= 2025-09-07T07:49:19.3291465Z USE_SYSTEM_NCCL=1 2025-09-07T07:49:19.3291632Z NUM_TEST_SHARDS=4 2025-09-07T07:49:19.3291792Z UCX_HOME=/usr 2025-09-07T07:49:19.3292142Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_2da2042a-276b-4d0e-a16d-321ccccf92d0 2025-09-07T07:49:19.3292692Z JOB_NAME=inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T07:49:19.3293235Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_2da2042a-276b-4d0e-a16d-321ccccf92d0 2025-09-07T07:49:19.3293713Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json 2025-09-07T07:49:19.3294031Z GITHUB_EVENT_NAME=schedule 2025-09-07T07:49:19.3294485Z DASHBOARD_TAG=training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true 2025-09-07T07:49:19.3294930Z GITHUB_RUN_ID=17525285611 2025-09-07T07:49:19.3295115Z INSTALLED_OPENBLAS= 2025-09-07T07:49:19.3295493Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_2da2042a-276b-4d0e-a16d-321ccccf92d0 2025-09-07T07:49:19.3295902Z GITHUB_ACTOR=pytorchmergebot 2025-09-07T07:49:19.3296085Z PR_NUMBER= 2025-09-07T07:49:19.3296237Z DESIRED_CUDA= 2025-09-07T07:49:19.3296399Z GITHUB_RUN_ATTEMPT=1 2025-09-07T07:49:19.3296568Z VALGRIND=ON 2025-09-07T07:49:19.3296720Z ANACONDA_PYTHON_VERSION=3.9 2025-09-07T07:49:19.3296941Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql 2025-09-07T07:49:19.3297169Z TERM=vt100 2025-09-07T07:49:19.3297325Z INSTALLED_VISION=yes 2025-09-07T07:49:19.3297485Z BRANCH=main 2025-09-07T07:49:19.3298125Z SCCACHE_REGION=us-east-1 2025-09-07T07:49:19.3298364Z OPENSSL_ROOT_DIR=/opt/openssl 2025-09-07T07:49:19.3298566Z CUDA_PATH=/usr/local/cuda 2025-09-07T07:49:19.3298888Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux 2025-09-07T07:49:19.3299242Z GITHUB_SERVER_URL=https://github.com 2025-09-07T07:49:19.3299448Z UCC_COMMIT= 2025-09-07T07:49:19.3299599Z REENABLED_ISSUES= 2025-09-07T07:49:19.3299753Z DOCS=yes 2025-09-07T07:49:19.3299900Z SHLVL=1 2025-09-07T07:49:19.3300047Z MAX_JOBS=94 2025-09-07T07:49:19.3300198Z GITHUB_ACTOR_ID=97764156 2025-09-07T07:49:19.3300433Z GITHUB_WORKFLOW_SHA=93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T07:49:19.3300677Z GITHUB_REF_NAME=main 2025-09-07T07:49:19.3300934Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla 2025-09-07T07:49:19.3301199Z GITHUB_JOB=test 2025-09-07T07:49:19.3301381Z NO_TEST_TIMEOUT=False 2025-09-07T07:49:19.3301556Z TD_DISTRIBUTED=False 2025-09-07T07:49:19.3301744Z GITHUB_REPOSITORY=pytorch/pytorch 2025-09-07T07:49:19.3301946Z GITHUB_RETENTION_DAYS=90 2025-09-07T07:49:19.3302128Z OPENSSL_DIR=/opt/openssl 2025-09-07T07:49:19.3302315Z GITHUB_ACTION_REPOSITORY= 2025-09-07T07:49:19.3302786Z 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 2025-09-07T07:49:19.3303250Z GITHUB_BASE_REF= 2025-09-07T07:49:19.3303405Z INSTALLED_ACL= 2025-09-07T07:49:19.3303707Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826 2025-09-07T07:49:19.3304038Z CI=true 2025-09-07T07:49:19.3304202Z GITHUB_REPOSITORY_OWNER=pytorch 2025-09-07T07:49:19.3304418Z RUST_LOG=sccache::server=error 2025-09-07T07:49:19.3304605Z JOB_ID=49775585826 2025-09-07T07:49:19.3304768Z GITHUB_HEAD_REF= 2025-09-07T07:49:19.3304928Z GITHUB_ACTION_REF= 2025-09-07T07:49:19.3305123Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2 2025-09-07T07:49:19.3305357Z TEST_SHOWLOCALS=False 2025-09-07T07:49:19.3305561Z GITHUB_WORKFLOW=inductor-perf-nightly-x86 2025-09-07T07:49:19.3305790Z DEBIAN_FRONTEND=noninteractive 2025-09-07T07:49:19.3306166Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_2da2042a-276b-4d0e-a16d-321ccccf92d0 2025-09-07T07:49:19.3306545Z NO_TD=False 2025-09-07T07:49:19.3306716Z SKIP_SCCACHE_INITIALIZATION=1 2025-09-07T07:49:19.3306922Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/ 2025-09-07T07:49:19.3307120Z _=/usr/bin/env 2025-09-07T07:49:19.3307285Z + echo 'Testing pytorch' 2025-09-07T07:49:19.3307468Z Testing pytorch 2025-09-07T07:49:19.3307648Z + export LANG=C.UTF-8 2025-09-07T07:49:19.3307811Z + LANG=C.UTF-8 2025-09-07T07:49:19.3307983Z + PR_NUMBER= 2025-09-07T07:49:19.3308191Z + [[ inductor_torchbench_perf_cpu_x86 == \d\e\f\a\u\l\t ]] 2025-09-07T07:49:19.3308496Z + [[ inductor_torchbench_perf_cpu_x86 == \d\i\s\t\r\i\b\u\t\e\d ]] 2025-09-07T07:49:19.3308777Z + [[ inductor_torchbench_perf_cpu_x86 == \s\l\o\w ]] 2025-09-07T07:49:19.3309061Z + [[ linux-jammy-py3.9-gcc11-build == *slow-gradcheck* ]] 2025-09-07T07:49:19.3309329Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:49:19.3309574Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:49:19.3309803Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:49:19.3310058Z + [[ inductor_torchbench_perf_cpu_x86 == *crossref* ]] 2025-09-07T07:49:19.3310307Z + [[ linux-jammy-py3.9-gcc11-build == *rocm* ]] 2025-09-07T07:49:19.3310547Z + [[ linux-jammy-py3.9-gcc11-build == *xpu* ]] 2025-09-07T07:49:19.3310786Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T07:49:19.3311024Z + pip_install ninja==1.10.2 2025-09-07T07:49:19.3311281Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:49:19.3311585Z + python3 -m pip install --progress-bar off ninja==1.10.2 2025-09-07T07:49:19.6481432Z Collecting ninja==1.10.2 2025-09-07T07:49:19.6545755Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB) 2025-09-07T07:49:19.6610296Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB) 2025-09-07T07:49:20.3335986Z Installing collected packages: ninja 2025-09-07T07:49:20.3336373Z Attempting uninstall: ninja 2025-09-07T07:49:20.3336691Z Found existing installation: ninja 1.11.1.3 2025-09-07T07:49:20.3351045Z Uninstalling ninja-1.11.1.3: 2025-09-07T07:49:20.3391251Z Successfully uninstalled ninja-1.11.1.3 2025-09-07T07:49:20.3776525Z Successfully installed ninja-1.10.2 2025-09-07T07:49:20.4501289Z + 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 2025-09-07T07:49:20.4502131Z + 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 2025-09-07T07:49:20.4502697Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T07:49:20.4502947Z + [[ linux-jammy-py3.9-gcc11-build == *asan* ]] 2025-09-07T07:49:20.4503192Z + [[ linux-jammy-py3.9-gcc11-build == *-debug* ]] 2025-09-07T07:49:20.4503435Z + [[ linux-jammy-py3.9-gcc11-build != *-bazel-* ]] 2025-09-07T07:49:20.4503834Z + echo 'We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass' 2025-09-07T07:49:20.4504223Z We are not in debug mode: linux-jammy-py3.9-gcc11-build. Expect the assertion to pass 2025-09-07T07:49:20.4504571Z + cd test 2025-09-07T07:49:20.4504903Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)' 2025-09-07T07:49:20.7239198Z /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. 2025-09-07T07:49:20.7240692Z import pynvml # type: ignore[import] 2025-09-07T07:49:21.4685856Z + [[ inductor_torchbench_perf_cpu_x86 == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]] 2025-09-07T07:49:21.4686292Z + [[ inductor_torchbench_perf_cpu_x86 == \n\o\g\p\u\_\A\V\X\5\1\2 ]] 2025-09-07T07:49:21.4686672Z + [[ inductor_torchbench_perf_cpu_x86 == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]] 2025-09-07T07:49:21.4687723Z + DYNAMO_BENCHMARK_FLAGS=() 2025-09-07T07:49:21.4688187Z + [[ inductor_torchbench_perf_cpu_x86 == *pr_time_benchmarks* ]] 2025-09-07T07:49:21.4688526Z + [[ inductor_torchbench_perf_cpu_x86 == *dynamo_eager* ]] 2025-09-07T07:49:21.4688853Z + [[ inductor_torchbench_perf_cpu_x86 == *aot_eager* ]] 2025-09-07T07:49:21.4689142Z + [[ inductor_torchbench_perf_cpu_x86 == *aot_inductor* ]] 2025-09-07T07:49:21.4689471Z + [[ inductor_torchbench_perf_cpu_x86 == *max_autotune_inductor* ]] 2025-09-07T07:49:21.4689796Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor* ]] 2025-09-07T07:49:21.4690076Z + [[ inductor_torchbench_perf_cpu_x86 != *perf* ]] 2025-09-07T07:49:21.4690370Z + [[ inductor_torchbench_perf_cpu_x86 == *dynamic* ]] 2025-09-07T07:49:21.4690643Z + [[ inductor_torchbench_perf_cpu_x86 == *cpu* ]] 2025-09-07T07:49:21.4690926Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu) 2025-09-07T07:49:21.4704525Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T07:49:21.4704802Z + [[ linux-jammy-py3.9-gcc11-build == *-bazel-* ]] 2025-09-07T07:49:21.4707629Z + cd test 2025-09-07T07:49:21.4708303Z + python -c 'import torch; print(torch.__config__.show())' 2025-09-07T07:49:21.7455316Z /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. 2025-09-07T07:49:21.7456717Z import pynvml # type: ignore[import] 2025-09-07T07:49:22.3140156Z PyTorch built with: 2025-09-07T07:49:22.3140408Z - GCC 11.4 2025-09-07T07:49:22.3140952Z - C++ Version: 201703 2025-09-07T07:49:22.3141433Z - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T07:49:22.3141862Z - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:49:22.3142137Z - OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:49:22.3142361Z - LAPACK is enabled (usually provided by MKL) 2025-09-07T07:49:22.3142571Z - NNPACK is enabled 2025-09-07T07:49:22.3142746Z - CPU capability usage: AVX512 2025-09-07T07:49:22.3145243Z - 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, 2025-09-07T07:49:22.3147820Z 2025-09-07T07:49:22.4783994Z + cd test 2025-09-07T07:49:22.4784275Z + python -c 'import torch; print(torch.__config__.parallel_info())' 2025-09-07T07:49:22.7525023Z /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. 2025-09-07T07:49:22.7526455Z import pynvml # type: ignore[import] 2025-09-07T07:49:23.3234352Z ATen/Parallel: 2025-09-07T07:49:23.3234621Z at::get_num_threads() : 48 2025-09-07T07:49:23.3234833Z at::get_num_interop_threads() : 48 2025-09-07T07:49:23.3235042Z OpenMP 201511 (a.k.a. OpenMP 4.5) 2025-09-07T07:49:23.3235248Z omp_get_max_threads() : 48 2025-09-07T07:49:23.3235592Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications 2025-09-07T07:49:23.3237316Z mkl_get_max_threads() : 48 2025-09-07T07:49:23.3237572Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d) 2025-09-07T07:49:23.3237852Z std::thread::hardware_concurrency() : 96 2025-09-07T07:49:23.3238060Z Environment variables: 2025-09-07T07:49:23.3238236Z OMP_NUM_THREADS : [not set] 2025-09-07T07:49:23.3238457Z MKL_NUM_THREADS : [not set] 2025-09-07T07:49:23.3238658Z ATen parallel backend: OpenMP 2025-09-07T07:49:23.3238777Z 2025-09-07T07:49:23.4873262Z + [[ inductor_torchbench_perf_cpu_x86 == *numpy_2* ]] 2025-09-07T07:49:23.4873646Z + [[ linux-jammy-py3.9-gcc11-build == *aarch64* ]] 2025-09-07T07:49:23.4873949Z + [[ inductor_torchbench_perf_cpu_x86 == *backward* ]] 2025-09-07T07:49:23.4874236Z + [[ inductor_torchbench_perf_cpu_x86 == *xla* ]] 2025-09-07T07:49:23.4874496Z + [[ inductor_torchbench_perf_cpu_x86 == *vllm* ]] 2025-09-07T07:49:23.4874788Z + [[ inductor_torchbench_perf_cpu_x86 == *executorch* ]] 2025-09-07T07:49:23.4875110Z + [[ inductor_torchbench_perf_cpu_x86 == \j\i\t\_\l\e\g\a\c\y ]] 2025-09-07T07:49:23.4875430Z + [[ linux-jammy-py3.9-gcc11-build == *libtorch* ]] 2025-09-07T07:49:23.4875724Z + [[ inductor_torchbench_perf_cpu_x86 == distributed ]] 2025-09-07T07:49:23.4876035Z + [[ inductor_torchbench_perf_cpu_x86 == *operator_benchmark* ]] 2025-09-07T07:49:23.4876381Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor_distributed* ]] 2025-09-07T07:49:23.4877152Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor-halide* ]] 2025-09-07T07:49:23.4877508Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor-triton-cpu* ]] 2025-09-07T07:49:23.4877872Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor-micro-benchmark* ]] 2025-09-07T07:49:23.4878212Z + [[ inductor_torchbench_perf_cpu_x86 == *huggingface* ]] 2025-09-07T07:49:23.4878508Z + [[ inductor_torchbench_perf_cpu_x86 == *timm* ]] 2025-09-07T07:49:23.4878786Z + [[ inductor_torchbench_perf_cpu_x86 == cachebench ]] 2025-09-07T07:49:23.4879069Z + [[ inductor_torchbench_perf_cpu_x86 == verify_cachebench ]] 2025-09-07T07:49:23.4879365Z + [[ inductor_torchbench_perf_cpu_x86 == *torchbench* ]] 2025-09-07T07:49:23.4879614Z + install_torchaudio 2025-09-07T07:49:23.4879805Z + local commit 2025-09-07T07:49:23.4879991Z ++ get_pinned_commit audio 2025-09-07T07:49:23.4880212Z ++ cat .github/ci_commit_pins/audio.txt 2025-09-07T07:49:23.5557747Z + commit=2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T07:49:23.5558249Z + pip_build_and_install git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 dist/audio 2025-09-07T07:49:23.5558750Z + local build_target=git+https://github.com/pytorch/audio.git@2e300559e4e123928a22187b8f59a5b56f57ddc8 2025-09-07T07:49:23.5559077Z + local wheel_dir=dist/audio 2025-09-07T07:49:23.5559264Z + local found_whl=0 2025-09-07T07:49:23.5559439Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:23.5559727Z + [[ -f dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl ]] 2025-09-07T07:49:23.5559993Z + found_whl=1 2025-09-07T07:49:23.5560149Z + break 2025-09-07T07:49:23.5560292Z + '[' 1 == 0 ']' 2025-09-07T07:49:23.5560459Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:23.5560744Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:23.5561115Z + args=('dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl') 2025-09-07T07:49:23.5561383Z + local args 2025-09-07T07:49:23.5561637Z + [[ dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-09-07T07:49:23.5561921Z + for path in "${args[@]}" 2025-09-07T07:49:23.5562207Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl' 2025-09-07T07:49:23.5562581Z Installing dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:23.5563018Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:23.8094667Z Processing ./dist/audio/torchaudio-2.8.0a0+2e30055-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:23.8130422Z Installing collected packages: torchaudio 2025-09-07T07:49:24.5614908Z Successfully installed torchaudio-2.8.0a0+2e30055 2025-09-07T07:49:24.5935602Z + install_torchvision 2025-09-07T07:49:24.5935922Z + local orig_preload 2025-09-07T07:49:24.5936141Z + local commit 2025-09-07T07:49:24.5936344Z ++ get_pinned_commit vision 2025-09-07T07:49:24.5936583Z ++ cat .github/ci_commit_pins/vision.txt 2025-09-07T07:49:24.5941785Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:49:24.5942085Z + orig_preload= 2025-09-07T07:49:24.5942252Z + '[' -n '' ']' 2025-09-07T07:49:24.5942474Z + [[ linux-jammy-py3.9-gcc11-build == *cuda* ]] 2025-09-07T07:49:24.5942900Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision 2025-09-07T07:49:24.5943414Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 2025-09-07T07:49:24.5943746Z + local wheel_dir=dist/vision 2025-09-07T07:49:24.5943931Z + local found_whl=0 2025-09-07T07:49:24.5944123Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:24.5944409Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl ]] 2025-09-07T07:49:24.5944693Z + found_whl=1 2025-09-07T07:49:24.5944845Z + break 2025-09-07T07:49:24.5944987Z + '[' 1 == 0 ']' 2025-09-07T07:49:24.5945145Z + for file in "${wheel_dir}"/*.whl 2025-09-07T07:49:24.5945771Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:24.5946160Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl') 2025-09-07T07:49:24.5946445Z + local args 2025-09-07T07:49:24.5946694Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl == *\ * ]] 2025-09-07T07:49:24.5947000Z + for path in "${args[@]}" 2025-09-07T07:49:24.5947296Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl' 2025-09-07T07:49:24.5947689Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:24.5948142Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:24.8403955Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp39-cp39-linux_x86_64.whl 2025-09-07T07:49:24.8460383Z Installing collected packages: torchvision 2025-09-07T07:49:25.3661003Z Successfully installed torchvision-0.22.0a0+966da7e 2025-09-07T07:49:25.3975165Z + '[' -n '' ']' 2025-09-07T07:49:25.3975466Z + id=2 2025-09-07T07:49:25.3975691Z + pip_install opencv-python==4.8.0.74 2025-09-07T07:49:25.3976011Z + pip_install_pkg='python3 -m pip install --progress-bar off' 2025-09-07T07:49:25.3976344Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74 2025-09-07T07:49:25.8168204Z Collecting opencv-python==4.8.0.74 2025-09-07T07:49:25.8239429Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB) 2025-09-07T07:49:25.9441925Z Requirement already satisfied: numpy>=1.17.0 in /opt/conda/envs/py_3.9/lib/python3.9/site-packages (from opencv-python==4.8.0.74) (1.22.4) 2025-09-07T07:49:25.9474623Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB) 2025-09-07T07:49:27.5568290Z Installing collected packages: opencv-python 2025-09-07T07:49:27.5568586Z Attempting uninstall: opencv-python 2025-09-07T07:49:27.5571149Z Found existing installation: opencv-python 4.11.0.86 2025-09-07T07:49:27.5623619Z Uninstalling opencv-python-4.11.0.86: 2025-09-07T07:49:27.6383104Z Successfully uninstalled opencv-python-4.11.0.86 2025-09-07T07:49:28.3987416Z Successfully installed opencv-python-4.8.0.74 2025-09-07T07:49:28.4925239Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor_torchbench_smoketest_perf* ]] 2025-09-07T07:49:28.4925746Z + [[ inductor_torchbench_perf_cpu_x86 == *inductor_torchbench_cpu_smoketest_perf* ]] 2025-09-07T07:49:28.4926117Z + [[ inductor_torchbench_perf_cpu_x86 == *torchbench_gcp_smoketest* ]] 2025-09-07T07:49:28.4926422Z + [[ inductor_torchbench_perf_cpu_x86 != *cpu* ]] 2025-09-07T07:49:28.4926653Z + PYTHONPATH=/torchbench 2025-09-07T07:49:28.4926850Z + test_dynamo_benchmark torchbench 2 2025-09-07T07:49:28.4927037Z ++ pwd 2025-09-07T07:49:28.4927250Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:28.4927498Z + local suite=torchbench 2025-09-07T07:49:28.4927689Z + shift 2025-09-07T07:49:28.4927839Z + local shard_id=2 2025-09-07T07:49:28.4927997Z + shift 2025-09-07T07:49:28.4928186Z + [[ inductor_torchbench_perf_cpu_x86 == *perf_compare* ]] 2025-09-07T07:49:28.4928438Z + [[ inductor_torchbench_perf_cpu_x86 == *perf* ]] 2025-09-07T07:49:28.4928664Z + [[ inductor_torchbench_perf_cpu_x86 == *b200* ]] 2025-09-07T07:49:28.4928913Z + test_single_dynamo_benchmark dashboard torchbench 2 2025-09-07T07:49:28.4930563Z ++ pwd 2025-09-07T07:49:28.4930767Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:28.4931057Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:28.4945292Z + local name=dashboard 2025-09-07T07:49:28.4945470Z + shift 2025-09-07T07:49:28.4945634Z + local suite=torchbench 2025-09-07T07:49:28.4945805Z + shift 2025-09-07T07:49:28.4945941Z + local shard_id=2 2025-09-07T07:49:28.4946096Z + shift 2025-09-07T07:49:28.4946241Z + partition_flags=() 2025-09-07T07:49:28.4946415Z + local partition_flags 2025-09-07T07:49:28.4946894Z + [[ -n 4 ]] 2025-09-07T07:49:28.4947045Z + [[ -n 2 ]] 2025-09-07T07:49:28.4947300Z + partition_flags=(--total-partitions "$NUM_TEST_SHARDS" --partition-id "$shard_id") 2025-09-07T07:49:28.4947629Z + [[ inductor_torchbench_perf_cpu_x86 == *perf_compare* ]] 2025-09-07T07:49:28.4947865Z + [[ inductor_torchbench_perf_cpu_x86 == *perf* ]] 2025-09-07T07:49:28.4948180Z + test_perf_for_dashboard torchbench --device cpu --total-partitions 4 --partition-id 2 2025-09-07T07:49:28.4950733Z ++ pwd 2025-09-07T07:49:28.4952222Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:28.4960992Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports 2025-09-07T07:49:28.4961212Z + local suite=torchbench 2025-09-07T07:49:28.4961379Z + shift 2025-09-07T07:49:28.4961530Z + local backend=inductor 2025-09-07T07:49:28.4961690Z + modes=() 2025-09-07T07:49:28.4961852Z + local modes 2025-09-07T07:49:28.4962309Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *training-true* ]] 2025-09-07T07:49:28.4963083Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *inference-true* ]] 2025-09-07T07:49:28.4963572Z + modes+=(inference) 2025-09-07T07:49:28.4963747Z + targets=('accuracy' 'performance') 2025-09-07T07:49:28.4963948Z + local targets 2025-09-07T07:49:28.4964110Z + local device=cuda 2025-09-07T07:49:28.4964301Z + [[ inductor_torchbench_perf_cpu_x86 == *cpu* ]] 2025-09-07T07:49:28.4964544Z + [[ inductor_torchbench_perf_cpu_x86 == *cpu_x86_zen* ]] 2025-09-07T07:49:28.4964803Z + [[ inductor_torchbench_perf_cpu_x86 == *cpu_x86* ]] 2025-09-07T07:49:28.4965021Z + device=cpu_x86 2025-09-07T07:49:28.4965199Z + test_inductor_set_cpu_affinity 2025-09-07T07:49:28.4965919Z ++ find /usr/lib -name libjemalloc.so.2 2025-09-07T07:49:28.5148081Z + JEMALLOC_LIB=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2 2025-09-07T07:49:28.5148386Z + export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:28.5148716Z + LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:28.5149174Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:49:28.5149690Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1 2025-09-07T07:49:28.5150053Z + [[ inductor_torchbench_perf_cpu_x86 != *aarch64* ]] 2025-09-07T07:49:28.5162636Z +++ which python 2025-09-07T07:49:28.5173555Z ++ dirname /opt/conda/envs/py_3.9/bin/python 2025-09-07T07:49:28.5187278Z + IOMP_LIB=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so 2025-09-07T07:49:28.5187655Z + export LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:28.5188108Z + LD_PRELOAD=/opt/conda/envs/py_3.9/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2: 2025-09-07T07:49:28.5188459Z + export KMP_AFFINITY=granularity=fine,compact,1,0 2025-09-07T07:49:28.5188703Z + KMP_AFFINITY=granularity=fine,compact,1,0 2025-09-07T07:49:28.5188920Z + export KMP_BLOCKTIME=1 2025-09-07T07:49:28.5189088Z + KMP_BLOCKTIME=1 2025-09-07T07:49:28.5192108Z ++ nproc 2025-09-07T07:49:28.5210893Z + cpus=96 2025-09-07T07:49:28.5217836Z ++ lscpu 2025-09-07T07:49:28.5218551Z ++ awk '{print $4}' 2025-09-07T07:49:28.5218743Z ++ grep 'Thread(s) per core:' 2025-09-07T07:49:28.5474753Z + thread_per_core=2 2025-09-07T07:49:28.5474970Z + cores=48 2025-09-07T07:49:28.5475166Z + [[ inductor_torchbench_perf_cpu_x86 == *aarch64* ]] 2025-09-07T07:49:28.5475414Z + export OMP_NUM_THREADS=48 2025-09-07T07:49:28.5475600Z + OMP_NUM_THREADS=48 2025-09-07T07:49:28.5475840Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))' 2025-09-07T07:49:28.5712621Z + start_cpu=0 2025-09-07T07:49:28.5713044Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))' 2025-09-07T07:49:28.5933135Z + end_cpu=93 2025-09-07T07:49:28.5933454Z + export 'TASKSET=taskset -c 0-93' 2025-09-07T07:49:28.5934001Z + TASKSET='taskset -c 0-93' 2025-09-07T07:49:28.5934215Z + for mode in "${modes[@]}" 2025-09-07T07:49:28.5934392Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T07:49:28.5934605Z + [[ cpu_x86 == \c\p\u\_\x\8\6 ]] 2025-09-07T07:49:28.5934800Z + dtype=amp 2025-09-07T07:49:28.5934962Z + for target in "${targets[@]}" 2025-09-07T07:49:28.5935150Z + target_flag=('--accuracy') 2025-09-07T07:49:28.5935336Z + local target_flag 2025-09-07T07:49:28.5935516Z + [[ accuracy == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T07:49:28.5935727Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T07:49:28.5935943Z + target_flag+=(--no-translation-validation) 2025-09-07T07:49:28.5936459Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing-true* ]] 2025-09-07T07:49:28.5936945Z + target_flag+=(--freezing) 2025-09-07T07:49:28.5937412Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *default-true* ]] 2025-09-07T07:49:28.5938556Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --freezing --inference --amp --backend inductor --disable-cudagraphs --device cpu --total-partitions 4 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_accuracy.csv 2025-09-07T07:49:28.9172607Z /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. 2025-09-07T07:49:28.9173949Z import pynvml # type: ignore[import] 2025-09-07T07:49:31.0101644Z /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. 2025-09-07T07:49:31.0103053Z import pynvml # type: ignore[import] 2025-09-07T07:49:32.7187923Z 2025-09-07T07:49:33.3790824Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:49:33.3791142Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:49:33.3791391Z cpu eval llama 2025-09-07T07:49:33.6685186Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:49:33.7855550Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:49:33.9023646Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:11.3905083Z pass 2025-09-07T07:50:11.3905513Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:13.1492366Z /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. 2025-09-07T07:50:13.1493811Z import pynvml # type: ignore[import] 2025-09-07T07:50:14.8538738Z 2025-09-07T07:50:15.0065584Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:50:15.0065967Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:50:15.0066299Z cpu eval maml 2025-09-07T07:50:15.0412656Z pass_due_to_skip 2025-09-07T07:50:15.0414556Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:15.8403592Z /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. 2025-09-07T07:50:15.8405353Z import pynvml # type: ignore[import] 2025-09-07T07:50:17.5534272Z 2025-09-07T07:50:17.6785008Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:50:17.6785395Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:50:17.6785724Z cpu eval maml_omniglot 2025-09-07T07:50:17.6822950Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:17.6864493Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:17.6892184Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:28.5921091Z pass 2025-09-07T07:50:28.5923370Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:30.0416669Z /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. 2025-09-07T07:50:30.0418048Z import pynvml # type: ignore[import] 2025-09-07T07:50:31.7562859Z 2025-09-07T07:50:31.8420699Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:50:31.8421000Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:50:31.8421235Z cpu eval microbench_unbacked_tolist_sum 2025-09-07T07:50:31.8472236Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:31.8539383Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:31.8598694Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:34.2902088Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T07:50:34.2902720Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T07:50:34.2903196Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or: 2025-09-07T07:50:34.2903633Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T07:50:34.2904148Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph. 2025-09-07T07:50:34.2904585Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T07:50:34.2904990Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at: 2025-09-07T07:50:34.2905590Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T07:50:34.2906177Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] return mod(*inputs) 2025-09-07T07:50:34.2906777Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in forward 2025-09-07T07:50:34.2907383Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] sum += tv[i].item() 2025-09-07T07:50:34.2907773Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T07:50:34.2908105Z W0907 07:50:34.289043 4003 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T07:50:37.2708062Z pass 2025-09-07T07:50:37.2708453Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:50:38.7785474Z /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. 2025-09-07T07:50:38.7787059Z import pynvml # type: ignore[import] 2025-09-07T07:50:40.4907906Z 2025-09-07T07:50:40.6484952Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/mnasnet1.0_top1_73.512-f206786ef8.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/mnasnet1.0_top1_73.512-f206786ef8.pth 2025-09-07T07:50:40.6585903Z 2025-09-07T07:50:40.6585911Z 2025-09-07T07:50:40.6918700Z 0% 0.00/16.9M [00:00.7", line 7, in forward 2025-09-07T07:51:17.9837201Z quantize_per_tensor = torch.quantize_per_tensor(x, features_0_0_input_scale_0, features_0_0_input_zero_point_0, torch.quint8); x = features_0_0_input_scale_0 = features_0_0_input_zero_point_0 = None 2025-09-07T07:51:17.9837843Z RuntimeError: Quantize only works on Float Tensor, got Double 2025-09-07T07:51:17.9838057Z 2025-09-07T07:51:17.9838262Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T07:51:17.9838680Z features_0_0_input_zero_point_0 = self.features_0_0_input_zero_point_0 2025-09-07T07:51:17.9839296Z quantize_per_tensor = torch.quantize_per_tensor(x, features_0_0_input_scale_0, features_0_0_input_zero_point_0, torch.quint8); x = features_0_0_input_scale_0 = features_0_0_input_zero_point_0 = None 2025-09-07T07:51:17.9839774Z 2025-09-07T07:51:17.9839990Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T07:51:17.9840477Z features_0_0 = getattr(getattr(self.features, "0"), "0")(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T07:51:17.9840773Z 2025-09-07T07:51:17.9840961Z features_0_2 = getattr(getattr(self.features, "0"), "2")(features_0_0); features_0_0 = None 2025-09-07T07:51:17.9841226Z 2025-09-07T07:51:17.9841486Z WARNING:common:fp64 golden ref were not generated for mobilenet_v2_quantized_qat. Setting accuracy check to cosine 2025-09-07T07:51:17.9842017Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:51:18.0592062Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:51:18.1356139Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:51:19.5091925Z W0907 07:51:19.508281 6252 site-packages/torch/_dynamo/utils.py:2869] [2/0] Encountered exception (quantized nyi in meta tensors) during fake tensor propagation. 2025-09-07T07:51:19.5147694Z W0907 07:51:19.514461 6252 site-packages/torch/_dynamo/utils.py:2869] [2/0_1] Encountered exception (quantized nyi in meta tensors) during fake tensor propagation. 2025-09-07T07:51:19.5974449Z pass 2025-09-07T07:51:19.5974858Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:51:21.9308582Z /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. 2025-09-07T07:51:21.9309993Z import pynvml # type: ignore[import] 2025-09-07T07:51:23.6430556Z 2025-09-07T07:51:23.9809773Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:51:23.9810105Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:51:23.9810358Z cpu eval mobilenet_v3_large 2025-09-07T07:51:24.4504568Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:51:24.4929559Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:51:24.5333014Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:51:43.9687300Z pass 2025-09-07T07:51:43.9687713Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:51:45.7022370Z /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. 2025-09-07T07:51:45.7023781Z import pynvml # type: ignore[import] 2025-09-07T07:51:47.4191510Z 2025-09-07T07:51:47.9968384Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:51:47.9968944Z 2025-09-07T07:51:47.9996579Z config.json: 0% 0.00/323 [00:00.7", line 7, in forward 2025-09-07T07:59:38.5336501Z quantize_per_tensor = torch.quantize_per_tensor(x, features_0_0_input_scale_0, features_0_0_input_zero_point_0, torch.quint8); x = features_0_0_input_scale_0 = features_0_0_input_zero_point_0 = None 2025-09-07T07:59:38.5337506Z RuntimeError: Quantize only works on Float Tensor, got Double 2025-09-07T07:59:38.5337834Z 2025-09-07T07:59:38.5338030Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T07:59:38.5338442Z features_0_0_input_zero_point_0 = self.features_0_0_input_zero_point_0 2025-09-07T07:59:38.5339080Z quantize_per_tensor = torch.quantize_per_tensor(x, features_0_0_input_scale_0, features_0_0_input_zero_point_0, torch.quint8); x = features_0_0_input_scale_0 = features_0_0_input_zero_point_0 = None 2025-09-07T07:59:38.5339550Z 2025-09-07T07:59:38.5339755Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T07:59:38.5340231Z features_0_0 = getattr(getattr(self.features, "0"), "0")(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T07:59:38.5340520Z 2025-09-07T07:59:38.5340731Z features_0_2 = getattr(getattr(self.features, "0"), "2")(features_0_0); features_0_0 = None 2025-09-07T07:59:38.5341001Z 2025-09-07T07:59:38.5341270Z WARNING:common:fp64 golden ref were not generated for mobilenet_v2_quantized_qat. Setting accuracy check to cosine 2025-09-07T07:59:38.5341797Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:59:38.6113815Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:59:38.6901912Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:59:47.4400516Z W0907 07:59:47.438607 28017 site-packages/torch/_dynamo/utils.py:2869] [2/0] Encountered exception (quantized nyi in meta tensors) during fake tensor propagation. 2025-09-07T07:59:47.4456534Z W0907 07:59:47.445321 28017 site-packages/torch/_dynamo/utils.py:2869] [2/0_1] Encountered exception (quantized nyi in meta tensors) during fake tensor propagation. 2025-09-07T07:59:47.5315687Z pass 2025-09-07T07:59:47.5316227Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:59:48.9705654Z /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. 2025-09-07T07:59:48.9707155Z import pynvml # type: ignore[import] 2025-09-07T07:59:50.6882796Z 2025-09-07T07:59:51.0248426Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:59:51.0248799Z loading model: 0it [00:00, ?it/s] 2025-09-07T07:59:51.0249060Z cpu eval mobilenet_v3_large 2025-09-07T07:59:51.4853950Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:59:51.5276928Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T07:59:51.5676638Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:00:02.7227950Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7228377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7228707Z return mod(*inputs) 2025-09-07T08:00:02.7229074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7229442Z return self._forward_impl(x) 2025-09-07T08:00:02.7229802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7230162Z x = self.features(x) 2025-09-07T08:00:02.7230270Z 2025-09-07T08:00:02.7230379Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7230731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7231484Z return mod(*inputs) 2025-09-07T08:00:02.7231826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7232185Z return self._forward_impl(x) 2025-09-07T08:00:02.7232545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7232917Z x = self.features(x) 2025-09-07T08:00:02.7233244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 114, in forward 2025-09-07T08:00:02.7233587Z result += input 2025-09-07T08:00:02.7233683Z 2025-09-07T08:00:02.7233795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7234150Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7234471Z return mod(*inputs) 2025-09-07T08:00:02.7234802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7235159Z return self._forward_impl(x) 2025-09-07T08:00:02.7235509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7235862Z x = self.features(x) 2025-09-07T08:00:02.7236189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 114, in forward 2025-09-07T08:00:02.7236525Z result += input 2025-09-07T08:00:02.7236619Z 2025-09-07T08:00:02.7236725Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7237067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7237385Z return mod(*inputs) 2025-09-07T08:00:02.7237704Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7238055Z return self._forward_impl(x) 2025-09-07T08:00:02.7238397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7238769Z x = self.features(x) 2025-09-07T08:00:02.7239094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7239445Z result = self.block(input) 2025-09-07T08:00:02.7239560Z 2025-09-07T08:00:02.7239667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7240006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7240328Z return mod(*inputs) 2025-09-07T08:00:02.7240644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7240992Z return self._forward_impl(x) 2025-09-07T08:00:02.7241344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7241704Z x = self.features(x) 2025-09-07T08:00:02.7242032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7242377Z result = self.block(input) 2025-09-07T08:00:02.7242492Z 2025-09-07T08:00:02.7242581Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7243069Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7243414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7243737Z return mod(*inputs) 2025-09-07T08:00:02.7244075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7244420Z return self._forward_impl(x) 2025-09-07T08:00:02.7244770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7246208Z x = self.features(x) 2025-09-07T08:00:02.7246540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7246887Z result = self.block(input) 2025-09-07T08:00:02.7247003Z 2025-09-07T08:00:02.7247114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7247451Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7247762Z return mod(*inputs) 2025-09-07T08:00:02.7248080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7248423Z return self._forward_impl(x) 2025-09-07T08:00:02.7248965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7249312Z x = self.features(x) 2025-09-07T08:00:02.7249640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7249985Z result = self.block(input) 2025-09-07T08:00:02.7250097Z 2025-09-07T08:00:02.7250206Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7250544Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7250856Z return mod(*inputs) 2025-09-07T08:00:02.7251178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7251524Z return self._forward_impl(x) 2025-09-07T08:00:02.7251874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7252226Z x = self.features(x) 2025-09-07T08:00:02.7252545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7252894Z result = self.block(input) 2025-09-07T08:00:02.7253006Z 2025-09-07T08:00:02.7253113Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7253446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7253754Z return mod(*inputs) 2025-09-07T08:00:02.7254070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7254407Z return self._forward_impl(x) 2025-09-07T08:00:02.7254752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7255093Z x = self.features(x) 2025-09-07T08:00:02.7255413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7255753Z result = self.block(input) 2025-09-07T08:00:02.7255865Z 2025-09-07T08:00:02.7255978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7256311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7256616Z return mod(*inputs) 2025-09-07T08:00:02.7256931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7257271Z return self._forward_impl(x) 2025-09-07T08:00:02.7257614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7257957Z x = self.features(x) 2025-09-07T08:00:02.7258275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 114, in forward 2025-09-07T08:00:02.7258616Z result += input 2025-09-07T08:00:02.7258707Z 2025-09-07T08:00:02.7258813Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7259146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7259588Z return mod(*inputs) 2025-09-07T08:00:02.7259910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7260258Z return self._forward_impl(x) 2025-09-07T08:00:02.7260609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7260957Z x = self.features(x) 2025-09-07T08:00:02.7261284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 114, in forward 2025-09-07T08:00:02.7261627Z result += input 2025-09-07T08:00:02.7261720Z 2025-09-07T08:00:02.7261829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7262174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7262475Z return mod(*inputs) 2025-09-07T08:00:02.7262800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7263148Z return self._forward_impl(x) 2025-09-07T08:00:02.7263498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7263849Z x = self.features(x) 2025-09-07T08:00:02.7264168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7264505Z result = self.block(input) 2025-09-07T08:00:02.7264616Z 2025-09-07T08:00:02.7264722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7265059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7265361Z return mod(*inputs) 2025-09-07T08:00:02.7265675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7266024Z return self._forward_impl(x) 2025-09-07T08:00:02.7266370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7266715Z x = self.features(x) 2025-09-07T08:00:02.7267036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7267382Z result = self.block(input) 2025-09-07T08:00:02.7267493Z 2025-09-07T08:00:02.7267600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7267941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7268239Z return mod(*inputs) 2025-09-07T08:00:02.7268558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7268898Z return self._forward_impl(x) 2025-09-07T08:00:02.7269242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7269591Z x = self.features(x) 2025-09-07T08:00:02.7269909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7270250Z result = self.block(input) 2025-09-07T08:00:02.7270361Z 2025-09-07T08:00:02.7270471Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7270813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7271111Z return mod(*inputs) 2025-09-07T08:00:02.7271428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7271770Z return self._forward_impl(x) 2025-09-07T08:00:02.7272119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7272505Z x = self.features(x) 2025-09-07T08:00:02.7272862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7273204Z result = self.block(input) 2025-09-07T08:00:02.7273317Z 2025-09-07T08:00:02.7273410Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7273654Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7273995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7274314Z return mod(*inputs) 2025-09-07T08:00:02.7274638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7274986Z return self._forward_impl(x) 2025-09-07T08:00:02.7275331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7275698Z x = self.features(x) 2025-09-07T08:00:02.7276030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7276406Z result = self.block(input) 2025-09-07T08:00:02.7276520Z 2025-09-07T08:00:02.7276629Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7276971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7277285Z return mod(*inputs) 2025-09-07T08:00:02.7277608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7277953Z return self._forward_impl(x) 2025-09-07T08:00:02.7278296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7278654Z x = self.features(x) 2025-09-07T08:00:02.7278982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7279335Z result = self.block(input) 2025-09-07T08:00:02.7279450Z 2025-09-07T08:00:02.7279559Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7279903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7280215Z return mod(*inputs) 2025-09-07T08:00:02.7280542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7280890Z return self._forward_impl(x) 2025-09-07T08:00:02.7281236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7281594Z x = self.features(x) 2025-09-07T08:00:02.7281923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7282271Z result = self.block(input) 2025-09-07T08:00:02.7282384Z 2025-09-07T08:00:02.7282502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7282844Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7283159Z return mod(*inputs) 2025-09-07T08:00:02.7283481Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7283825Z return self._forward_impl(x) 2025-09-07T08:00:02.7284173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7284533Z x = self.features(x) 2025-09-07T08:00:02.7284860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7285208Z result = self.block(input) 2025-09-07T08:00:02.7285321Z 2025-09-07T08:00:02.7285411Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7285640Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7286044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7286356Z return mod(*inputs) 2025-09-07T08:00:02.7286672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7287013Z return self._forward_impl(x) 2025-09-07T08:00:02.7287364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7287715Z x = self.features(x) 2025-09-07T08:00:02.7288040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7288380Z result = self.block(input) 2025-09-07T08:00:02.7288682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7289003Z scale = self._scale(input) 2025-09-07T08:00:02.7289314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 253, in _scale 2025-09-07T08:00:02.7289636Z scale = self.avgpool(input) 2025-09-07T08:00:02.7289755Z 2025-09-07T08:00:02.7289864Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7290199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7290510Z return mod(*inputs) 2025-09-07T08:00:02.7290831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7291172Z return self._forward_impl(x) 2025-09-07T08:00:02.7291514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7291866Z x = self.features(x) 2025-09-07T08:00:02.7292183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7292530Z result = self.block(input) 2025-09-07T08:00:02.7292829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7293148Z scale = self._scale(input) 2025-09-07T08:00:02.7293448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7293768Z scale = self.activation(scale) 2025-09-07T08:00:02.7293893Z 2025-09-07T08:00:02.7294002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7294339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7294646Z return mod(*inputs) 2025-09-07T08:00:02.7294966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7295307Z return self._forward_impl(x) 2025-09-07T08:00:02.7295647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7296003Z x = self.features(x) 2025-09-07T08:00:02.7296322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7296666Z result = self.block(input) 2025-09-07T08:00:02.7296971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7297277Z scale = self._scale(input) 2025-09-07T08:00:02.7297577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7297894Z scale = self.activation(scale) 2025-09-07T08:00:02.7298013Z 2025-09-07T08:00:02.7298119Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7298461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7298758Z return mod(*inputs) 2025-09-07T08:00:02.7299173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7299518Z return self._forward_impl(x) 2025-09-07T08:00:02.7299865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7300214Z x = self.features(x) 2025-09-07T08:00:02.7300540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7300888Z result = self.block(input) 2025-09-07T08:00:02.7301196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7301514Z scale = self._scale(input) 2025-09-07T08:00:02.7301815Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7302143Z return self.scale_activation(scale) 2025-09-07T08:00:02.7302278Z 2025-09-07T08:00:02.7302390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7302737Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7303043Z return mod(*inputs) 2025-09-07T08:00:02.7303368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7303719Z return self._forward_impl(x) 2025-09-07T08:00:02.7304071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7304429Z x = self.features(x) 2025-09-07T08:00:02.7304741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7305088Z result = self.block(input) 2025-09-07T08:00:02.7305397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7305724Z scale = self._scale(input) 2025-09-07T08:00:02.7306019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7306351Z return self.scale_activation(scale) 2025-09-07T08:00:02.7306490Z 2025-09-07T08:00:02.7306590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7306944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7307253Z return mod(*inputs) 2025-09-07T08:00:02.7307566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7307915Z return self._forward_impl(x) 2025-09-07T08:00:02.7308267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7308624Z x = self.features(x) 2025-09-07T08:00:02.7308945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7309299Z result = self.block(input) 2025-09-07T08:00:02.7309610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 261, in forward 2025-09-07T08:00:02.7309926Z return scale * input 2025-09-07T08:00:02.7310028Z 2025-09-07T08:00:02.7310137Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7310479Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7310788Z return mod(*inputs) 2025-09-07T08:00:02.7311110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7311460Z return self._forward_impl(x) 2025-09-07T08:00:02.7311806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7312207Z x = self.features(x) 2025-09-07T08:00:02.7312571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 114, in forward 2025-09-07T08:00:02.7312914Z result += input 2025-09-07T08:00:02.7313006Z 2025-09-07T08:00:02.7313114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7313452Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7313763Z return mod(*inputs) 2025-09-07T08:00:02.7314079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7314421Z return self._forward_impl(x) 2025-09-07T08:00:02.7314762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7315116Z x = self.features(x) 2025-09-07T08:00:02.7315443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 114, in forward 2025-09-07T08:00:02.7315779Z result += input 2025-09-07T08:00:02.7315869Z 2025-09-07T08:00:02.7315973Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7316311Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7316620Z return mod(*inputs) 2025-09-07T08:00:02.7316938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7317278Z return self._forward_impl(x) 2025-09-07T08:00:02.7317620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7317976Z x = self.features(x) 2025-09-07T08:00:02.7318302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7318649Z result = self.block(input) 2025-09-07T08:00:02.7318764Z 2025-09-07T08:00:02.7318873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7319213Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7319524Z return mod(*inputs) 2025-09-07T08:00:02.7319845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7320191Z return self._forward_impl(x) 2025-09-07T08:00:02.7320534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7320890Z x = self.features(x) 2025-09-07T08:00:02.7321215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7321560Z result = self.block(input) 2025-09-07T08:00:02.7321672Z 2025-09-07T08:00:02.7321780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7322125Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7322439Z return mod(*inputs) 2025-09-07T08:00:02.7322758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7323105Z return self._forward_impl(x) 2025-09-07T08:00:02.7323454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7323810Z x = self.features(x) 2025-09-07T08:00:02.7324133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7324478Z result = self.block(input) 2025-09-07T08:00:02.7324587Z 2025-09-07T08:00:02.7324694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7325038Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7325372Z return mod(*inputs) 2025-09-07T08:00:02.7325719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7326066Z return self._forward_impl(x) 2025-09-07T08:00:02.7326413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7326760Z x = self.features(x) 2025-09-07T08:00:02.7327080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7327421Z result = self.block(input) 2025-09-07T08:00:02.7327530Z 2025-09-07T08:00:02.7327617Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7327844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7328183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7328488Z return mod(*inputs) 2025-09-07T08:00:02.7328813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7329156Z return self._forward_impl(x) 2025-09-07T08:00:02.7329497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7329856Z x = self.features(x) 2025-09-07T08:00:02.7330175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7330517Z result = self.block(input) 2025-09-07T08:00:02.7330816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7331134Z scale = self._scale(input) 2025-09-07T08:00:02.7331436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 253, in _scale 2025-09-07T08:00:02.7331756Z scale = self.avgpool(input) 2025-09-07T08:00:02.7331877Z 2025-09-07T08:00:02.7331986Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7332324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7332638Z return mod(*inputs) 2025-09-07T08:00:02.7332959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7333303Z return self._forward_impl(x) 2025-09-07T08:00:02.7333645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7334003Z x = self.features(x) 2025-09-07T08:00:02.7334328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7334673Z result = self.block(input) 2025-09-07T08:00:02.7334982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7335312Z scale = self._scale(input) 2025-09-07T08:00:02.7335613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7335936Z scale = self.activation(scale) 2025-09-07T08:00:02.7336057Z 2025-09-07T08:00:02.7336164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7336503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7336809Z return mod(*inputs) 2025-09-07T08:00:02.7337127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7337478Z return self._forward_impl(x) 2025-09-07T08:00:02.7337825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7338170Z x = self.features(x) 2025-09-07T08:00:02.7338521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7338902Z result = self.block(input) 2025-09-07T08:00:02.7339211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7339526Z scale = self._scale(input) 2025-09-07T08:00:02.7339838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7340155Z scale = self.activation(scale) 2025-09-07T08:00:02.7340275Z 2025-09-07T08:00:02.7340381Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7340724Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7341021Z return mod(*inputs) 2025-09-07T08:00:02.7341333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7341674Z return self._forward_impl(x) 2025-09-07T08:00:02.7342022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7342359Z x = self.features(x) 2025-09-07T08:00:02.7342677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7343027Z result = self.block(input) 2025-09-07T08:00:02.7343333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7343651Z scale = self._scale(input) 2025-09-07T08:00:02.7343943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7344268Z return self.scale_activation(scale) 2025-09-07T08:00:02.7344397Z 2025-09-07T08:00:02.7344506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7344857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7345167Z return mod(*inputs) 2025-09-07T08:00:02.7345492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7345837Z return self._forward_impl(x) 2025-09-07T08:00:02.7346187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7346543Z x = self.features(x) 2025-09-07T08:00:02.7346859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7347202Z result = self.block(input) 2025-09-07T08:00:02.7347513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7347832Z scale = self._scale(input) 2025-09-07T08:00:02.7348129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7348510Z return self.scale_activation(scale) 2025-09-07T08:00:02.7348651Z 2025-09-07T08:00:02.7348753Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7349104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7349422Z return mod(*inputs) 2025-09-07T08:00:02.7349758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7350103Z return self._forward_impl(x) 2025-09-07T08:00:02.7350456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7350814Z x = self.features(x) 2025-09-07T08:00:02.7351129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7351475Z result = self.block(input) 2025-09-07T08:00:02.7351843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 261, in forward 2025-09-07T08:00:02.7352199Z return scale * input 2025-09-07T08:00:02.7352297Z 2025-09-07T08:00:02.7352386Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7352613Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7352951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7353256Z return mod(*inputs) 2025-09-07T08:00:02.7353568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7353897Z return self._forward_impl(x) 2025-09-07T08:00:02.7354243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7354593Z x = self.features(x) 2025-09-07T08:00:02.7354905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7355249Z result = self.block(input) 2025-09-07T08:00:02.7355358Z 2025-09-07T08:00:02.7355457Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7355792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7356092Z return mod(*inputs) 2025-09-07T08:00:02.7356399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7356725Z return self._forward_impl(x) 2025-09-07T08:00:02.7357074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7357428Z x = self.features(x) 2025-09-07T08:00:02.7357744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7358121Z result = self.block(input) 2025-09-07T08:00:02.7358231Z 2025-09-07T08:00:02.7358330Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7358665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7358964Z return mod(*inputs) 2025-09-07T08:00:02.7359270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7359593Z return self._forward_impl(x) 2025-09-07T08:00:02.7359930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7360273Z x = self.features(x) 2025-09-07T08:00:02.7360583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7360914Z result = self.block(input) 2025-09-07T08:00:02.7361022Z 2025-09-07T08:00:02.7361121Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7361461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7361763Z return mod(*inputs) 2025-09-07T08:00:02.7362075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7362402Z return self._forward_impl(x) 2025-09-07T08:00:02.7362744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7363088Z x = self.features(x) 2025-09-07T08:00:02.7363404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7363734Z result = self.block(input) 2025-09-07T08:00:02.7363842Z 2025-09-07T08:00:02.7363920Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7364150Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7364523Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7364856Z return mod(*inputs) 2025-09-07T08:00:02.7365160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7365505Z return self._forward_impl(x) 2025-09-07T08:00:02.7365847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7366197Z x = self.features(x) 2025-09-07T08:00:02.7366513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7366841Z result = self.block(input) 2025-09-07T08:00:02.7367143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7367457Z scale = self._scale(input) 2025-09-07T08:00:02.7367756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 253, in _scale 2025-09-07T08:00:02.7368069Z scale = self.avgpool(input) 2025-09-07T08:00:02.7368189Z 2025-09-07T08:00:02.7368289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7368625Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7368930Z return mod(*inputs) 2025-09-07T08:00:02.7369242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7369571Z return self._forward_impl(x) 2025-09-07T08:00:02.7369914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7370261Z x = self.features(x) 2025-09-07T08:00:02.7370576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7370906Z result = self.block(input) 2025-09-07T08:00:02.7371211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7371527Z scale = self._scale(input) 2025-09-07T08:00:02.7371824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7372137Z scale = self.activation(scale) 2025-09-07T08:00:02.7372258Z 2025-09-07T08:00:02.7372357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7372696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7372999Z return mod(*inputs) 2025-09-07T08:00:02.7373306Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7373635Z return self._forward_impl(x) 2025-09-07T08:00:02.7373979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7374331Z x = self.features(x) 2025-09-07T08:00:02.7374644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7374980Z result = self.block(input) 2025-09-07T08:00:02.7375272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7375583Z scale = self._scale(input) 2025-09-07T08:00:02.7375876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7376191Z scale = self.activation(scale) 2025-09-07T08:00:02.7376310Z 2025-09-07T08:00:02.7376421Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7376753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7377055Z return mod(*inputs) 2025-09-07T08:00:02.7377398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7377763Z return self._forward_impl(x) 2025-09-07T08:00:02.7378095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7378441Z x = self.features(x) 2025-09-07T08:00:02.7378752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7379091Z result = self.block(input) 2025-09-07T08:00:02.7379384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7379695Z scale = self._scale(input) 2025-09-07T08:00:02.7379987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7380304Z return self.scale_activation(scale) 2025-09-07T08:00:02.7380431Z 2025-09-07T08:00:02.7380537Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7380870Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7381170Z return mod(*inputs) 2025-09-07T08:00:02.7381480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7381820Z return self._forward_impl(x) 2025-09-07T08:00:02.7382163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7382501Z x = self.features(x) 2025-09-07T08:00:02.7382813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7383145Z result = self.block(input) 2025-09-07T08:00:02.7383441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7383742Z scale = self._scale(input) 2025-09-07T08:00:02.7384044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7384359Z return self.scale_activation(scale) 2025-09-07T08:00:02.7384485Z 2025-09-07T08:00:02.7384594Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7384929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7385234Z return mod(*inputs) 2025-09-07T08:00:02.7385543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7385879Z return self._forward_impl(x) 2025-09-07T08:00:02.7386217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7386555Z x = self.features(x) 2025-09-07T08:00:02.7386867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7387205Z result = self.block(input) 2025-09-07T08:00:02.7387504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 261, in forward 2025-09-07T08:00:02.7387808Z return scale * input 2025-09-07T08:00:02.7387907Z 2025-09-07T08:00:02.7387987Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7388212Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7388543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7388844Z return mod(*inputs) 2025-09-07T08:00:02.7389145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7389478Z return self._forward_impl(x) 2025-09-07T08:00:02.7389817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7390164Z x = self.features(x) 2025-09-07T08:00:02.7390540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7390866Z result = self.block(input) 2025-09-07T08:00:02.7390982Z 2025-09-07T08:00:02.7391080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7391414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7391715Z return mod(*inputs) 2025-09-07T08:00:02.7392017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7392355Z return self._forward_impl(x) 2025-09-07T08:00:02.7392697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7393045Z x = self.features(x) 2025-09-07T08:00:02.7393365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7393697Z result = self.block(input) 2025-09-07T08:00:02.7393813Z 2025-09-07T08:00:02.7393911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7394247Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7394546Z return mod(*inputs) 2025-09-07T08:00:02.7394848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7395181Z return self._forward_impl(x) 2025-09-07T08:00:02.7395518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7395864Z x = self.features(x) 2025-09-07T08:00:02.7396176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7396503Z result = self.block(input) 2025-09-07T08:00:02.7396623Z 2025-09-07T08:00:02.7396725Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7397058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7397356Z return mod(*inputs) 2025-09-07T08:00:02.7397666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7398004Z return self._forward_impl(x) 2025-09-07T08:00:02.7398338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7398687Z x = self.features(x) 2025-09-07T08:00:02.7398997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7399323Z result = self.block(input) 2025-09-07T08:00:02.7399436Z 2025-09-07T08:00:02.7399533Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7399869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7400167Z return mod(*inputs) 2025-09-07T08:00:02.7400467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7400803Z return self._forward_impl(x) 2025-09-07T08:00:02.7401141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7401493Z x = self.features(x) 2025-09-07T08:00:02.7401805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 114, in forward 2025-09-07T08:00:02.7402121Z result += input 2025-09-07T08:00:02.7402221Z 2025-09-07T08:00:02.7402317Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7402650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7402984Z return mod(*inputs) 2025-09-07T08:00:02.7403329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7403665Z return self._forward_impl(x) 2025-09-07T08:00:02.7404002Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7404350Z x = self.features(x) 2025-09-07T08:00:02.7404661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 114, in forward 2025-09-07T08:00:02.7404980Z result += input 2025-09-07T08:00:02.7405077Z 2025-09-07T08:00:02.7405174Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7405508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7405810Z return mod(*inputs) 2025-09-07T08:00:02.7406112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7406456Z return self._forward_impl(x) 2025-09-07T08:00:02.7406799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7407146Z x = self.features(x) 2025-09-07T08:00:02.7407459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7407787Z result = self.block(input) 2025-09-07T08:00:02.7407904Z 2025-09-07T08:00:02.7408003Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7408338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7408639Z return mod(*inputs) 2025-09-07T08:00:02.7408949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7409275Z return self._forward_impl(x) 2025-09-07T08:00:02.7409619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7409968Z x = self.features(x) 2025-09-07T08:00:02.7410284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7410612Z result = self.block(input) 2025-09-07T08:00:02.7410729Z 2025-09-07T08:00:02.7410829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7411164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7411464Z return mod(*inputs) 2025-09-07T08:00:02.7411774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7412101Z return self._forward_impl(x) 2025-09-07T08:00:02.7412445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7412799Z x = self.features(x) 2025-09-07T08:00:02.7413115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7413441Z result = self.block(input) 2025-09-07T08:00:02.7413559Z 2025-09-07T08:00:02.7413657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7413992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7414295Z return mod(*inputs) 2025-09-07T08:00:02.7414604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7414931Z return self._forward_impl(x) 2025-09-07T08:00:02.7415270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7415623Z x = self.features(x) 2025-09-07T08:00:02.7415963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7416315Z result = self.block(input) 2025-09-07T08:00:02.7416430Z 2025-09-07T08:00:02.7416508Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7416736Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7417073Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7417374Z return mod(*inputs) 2025-09-07T08:00:02.7417674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7418014Z return self._forward_impl(x) 2025-09-07T08:00:02.7418352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7418695Z x = self.features(x) 2025-09-07T08:00:02.7419007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7419343Z result = self.block(input) 2025-09-07T08:00:02.7419456Z 2025-09-07T08:00:02.7419552Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7419888Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7420189Z return mod(*inputs) 2025-09-07T08:00:02.7420488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7420824Z return self._forward_impl(x) 2025-09-07T08:00:02.7421168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7421514Z x = self.features(x) 2025-09-07T08:00:02.7421817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7422152Z result = self.block(input) 2025-09-07T08:00:02.7422274Z 2025-09-07T08:00:02.7422373Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7422711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7423011Z return mod(*inputs) 2025-09-07T08:00:02.7423309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7423646Z return self._forward_impl(x) 2025-09-07T08:00:02.7423988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7424333Z x = self.features(x) 2025-09-07T08:00:02.7424638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7424976Z result = self.block(input) 2025-09-07T08:00:02.7425093Z 2025-09-07T08:00:02.7425189Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7425530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7425829Z return mod(*inputs) 2025-09-07T08:00:02.7426129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7426465Z return self._forward_impl(x) 2025-09-07T08:00:02.7426802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7427145Z x = self.features(x) 2025-09-07T08:00:02.7427452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7427783Z result = self.block(input) 2025-09-07T08:00:02.7427895Z 2025-09-07T08:00:02.7427973Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7428202Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7428570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7428899Z return mod(*inputs) 2025-09-07T08:00:02.7429216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7429555Z return self._forward_impl(x) 2025-09-07T08:00:02.7429903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7430249Z x = self.features(x) 2025-09-07T08:00:02.7430569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7430906Z result = self.block(input) 2025-09-07T08:00:02.7431020Z 2025-09-07T08:00:02.7431129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7431468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7431771Z return mod(*inputs) 2025-09-07T08:00:02.7432094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7432435Z return self._forward_impl(x) 2025-09-07T08:00:02.7432780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7433122Z x = self.features(x) 2025-09-07T08:00:02.7433441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7433782Z result = self.block(input) 2025-09-07T08:00:02.7433894Z 2025-09-07T08:00:02.7434004Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7434347Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7434646Z return mod(*inputs) 2025-09-07T08:00:02.7434966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7435312Z return self._forward_impl(x) 2025-09-07T08:00:02.7435660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7436011Z x = self.features(x) 2025-09-07T08:00:02.7436322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7436664Z result = self.block(input) 2025-09-07T08:00:02.7436776Z 2025-09-07T08:00:02.7436882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7437224Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7437521Z return mod(*inputs) 2025-09-07T08:00:02.7437839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7438179Z return self._forward_impl(x) 2025-09-07T08:00:02.7438530Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7438880Z x = self.features(x) 2025-09-07T08:00:02.7439192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7439527Z result = self.block(input) 2025-09-07T08:00:02.7439637Z 2025-09-07T08:00:02.7439724Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7439954Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7440287Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7440595Z return mod(*inputs) 2025-09-07T08:00:02.7440911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7441256Z return self._forward_impl(x) 2025-09-07T08:00:02.7441673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7442046Z x = self.features(x) 2025-09-07T08:00:02.7442361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7442696Z result = self.block(input) 2025-09-07T08:00:02.7442803Z 2025-09-07T08:00:02.7442909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7443237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7443538Z return mod(*inputs) 2025-09-07T08:00:02.7443848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7444181Z return self._forward_impl(x) 2025-09-07T08:00:02.7444519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7444863Z x = self.features(x) 2025-09-07T08:00:02.7445184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7445524Z result = self.block(input) 2025-09-07T08:00:02.7445630Z 2025-09-07T08:00:02.7445734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7446061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7446361Z return mod(*inputs) 2025-09-07T08:00:02.7446672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7447009Z return self._forward_impl(x) 2025-09-07T08:00:02.7447352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7447691Z x = self.features(x) 2025-09-07T08:00:02.7448006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7448342Z result = self.block(input) 2025-09-07T08:00:02.7448486Z 2025-09-07T08:00:02.7448595Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7448924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7449259Z return mod(*inputs) 2025-09-07T08:00:02.7449579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7449936Z return self._forward_impl(x) 2025-09-07T08:00:02.7450324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7450673Z x = self.features(x) 2025-09-07T08:00:02.7451011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7451358Z result = self.block(input) 2025-09-07T08:00:02.7451476Z 2025-09-07T08:00:02.7451568Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7451793Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7452139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7452448Z return mod(*inputs) 2025-09-07T08:00:02.7452766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7453106Z return self._forward_impl(x) 2025-09-07T08:00:02.7453446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7453801Z x = self.features(x) 2025-09-07T08:00:02.7454120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7454460Z result = self.block(input) 2025-09-07T08:00:02.7454827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7455209Z scale = self._scale(input) 2025-09-07T08:00:02.7455517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 253, in _scale 2025-09-07T08:00:02.7455842Z scale = self.avgpool(input) 2025-09-07T08:00:02.7455959Z 2025-09-07T08:00:02.7456070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7456412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7456727Z return mod(*inputs) 2025-09-07T08:00:02.7457053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7457402Z return self._forward_impl(x) 2025-09-07T08:00:02.7457742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7458105Z x = self.features(x) 2025-09-07T08:00:02.7458435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7458778Z result = self.block(input) 2025-09-07T08:00:02.7459087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7459399Z scale = self._scale(input) 2025-09-07T08:00:02.7459700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7460021Z scale = self.activation(scale) 2025-09-07T08:00:02.7460142Z 2025-09-07T08:00:02.7460248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7460586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7460897Z return mod(*inputs) 2025-09-07T08:00:02.7461218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7461570Z return self._forward_impl(x) 2025-09-07T08:00:02.7461916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7462265Z x = self.features(x) 2025-09-07T08:00:02.7462594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7462934Z result = self.block(input) 2025-09-07T08:00:02.7463233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7463535Z scale = self._scale(input) 2025-09-07T08:00:02.7463828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7464145Z scale = self.activation(scale) 2025-09-07T08:00:02.7464262Z 2025-09-07T08:00:02.7464369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7464712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7465005Z return mod(*inputs) 2025-09-07T08:00:02.7465317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7465655Z return self._forward_impl(x) 2025-09-07T08:00:02.7465994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7466332Z x = self.features(x) 2025-09-07T08:00:02.7466645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7466976Z result = self.block(input) 2025-09-07T08:00:02.7467276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7467590Z scale = self._scale(input) 2025-09-07T08:00:02.7467902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7468246Z return self.scale_activation(scale) 2025-09-07T08:00:02.7468379Z 2025-09-07T08:00:02.7468477Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7468811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7469112Z return mod(*inputs) 2025-09-07T08:00:02.7469415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7469750Z return self._forward_impl(x) 2025-09-07T08:00:02.7470092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7470437Z x = self.features(x) 2025-09-07T08:00:02.7470741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7471079Z result = self.block(input) 2025-09-07T08:00:02.7471379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7471688Z scale = self._scale(input) 2025-09-07T08:00:02.7471969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7472286Z return self.scale_activation(scale) 2025-09-07T08:00:02.7472420Z 2025-09-07T08:00:02.7472516Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7472854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7473157Z return mod(*inputs) 2025-09-07T08:00:02.7473458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7473789Z return self._forward_impl(x) 2025-09-07T08:00:02.7498420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7499000Z x = self.features(x) 2025-09-07T08:00:02.7499364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7499711Z result = self.block(input) 2025-09-07T08:00:02.7500026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 261, in forward 2025-09-07T08:00:02.7500340Z return scale * input 2025-09-07T08:00:02.7500480Z 2025-09-07T08:00:02.7500633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7501139Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7501628Z return mod(*inputs) 2025-09-07T08:00:02.7502017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7502367Z return self._forward_impl(x) 2025-09-07T08:00:02.7502732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7503074Z x = self.features(x) 2025-09-07T08:00:02.7503396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 114, in forward 2025-09-07T08:00:02.7503728Z result += input 2025-09-07T08:00:02.7503823Z 2025-09-07T08:00:02.7503933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7504273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7504581Z return mod(*inputs) 2025-09-07T08:00:02.7504897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7505236Z return self._forward_impl(x) 2025-09-07T08:00:02.7505580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7506074Z x = self.features(x) 2025-09-07T08:00:02.7506396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 114, in forward 2025-09-07T08:00:02.7506730Z result += input 2025-09-07T08:00:02.7506825Z 2025-09-07T08:00:02.7506936Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7507276Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7507588Z return mod(*inputs) 2025-09-07T08:00:02.7507903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7508248Z return self._forward_impl(x) 2025-09-07T08:00:02.7508597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7508952Z x = self.features(x) 2025-09-07T08:00:02.7509271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7509613Z result = self.block(input) 2025-09-07T08:00:02.7509726Z 2025-09-07T08:00:02.7509831Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7510164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7510469Z return mod(*inputs) 2025-09-07T08:00:02.7510783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7511120Z return self._forward_impl(x) 2025-09-07T08:00:02.7511463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7511802Z x = self.features(x) 2025-09-07T08:00:02.7512119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7512460Z result = self.block(input) 2025-09-07T08:00:02.7512573Z 2025-09-07T08:00:02.7512677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7513018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7513311Z return mod(*inputs) 2025-09-07T08:00:02.7513624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7513961Z return self._forward_impl(x) 2025-09-07T08:00:02.7514302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7514641Z x = self.features(x) 2025-09-07T08:00:02.7514958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7515295Z result = self.block(input) 2025-09-07T08:00:02.7515407Z 2025-09-07T08:00:02.7515514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7515856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7516152Z return mod(*inputs) 2025-09-07T08:00:02.7516459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7516793Z return self._forward_impl(x) 2025-09-07T08:00:02.7517135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7517481Z x = self.features(x) 2025-09-07T08:00:02.7517793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7518131Z result = self.block(input) 2025-09-07T08:00:02.7518242Z 2025-09-07T08:00:02.7518333Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7518566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7518981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7519283Z return mod(*inputs) 2025-09-07T08:00:02.7519595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7519926Z return self._forward_impl(x) 2025-09-07T08:00:02.7520257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7520601Z x = self.features(x) 2025-09-07T08:00:02.7520920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7521255Z result = self.block(input) 2025-09-07T08:00:02.7521556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7521862Z scale = self._scale(input) 2025-09-07T08:00:02.7522163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 253, in _scale 2025-09-07T08:00:02.7522482Z scale = self.avgpool(input) 2025-09-07T08:00:02.7522600Z 2025-09-07T08:00:02.7522704Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7523033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7523331Z return mod(*inputs) 2025-09-07T08:00:02.7523642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7523975Z return self._forward_impl(x) 2025-09-07T08:00:02.7524314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7524651Z x = self.features(x) 2025-09-07T08:00:02.7524965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7525299Z result = self.block(input) 2025-09-07T08:00:02.7525608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7525913Z scale = self._scale(input) 2025-09-07T08:00:02.7526212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7526528Z scale = self.activation(scale) 2025-09-07T08:00:02.7526650Z 2025-09-07T08:00:02.7526757Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7527090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7527387Z return mod(*inputs) 2025-09-07T08:00:02.7527697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7528031Z return self._forward_impl(x) 2025-09-07T08:00:02.7528367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7528709Z x = self.features(x) 2025-09-07T08:00:02.7529022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7529357Z result = self.block(input) 2025-09-07T08:00:02.7529658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7529967Z scale = self._scale(input) 2025-09-07T08:00:02.7530252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7530566Z scale = self.activation(scale) 2025-09-07T08:00:02.7530685Z 2025-09-07T08:00:02.7530794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7531132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7531424Z return mod(*inputs) 2025-09-07T08:00:02.7531782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7532149Z return self._forward_impl(x) 2025-09-07T08:00:02.7532491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7532835Z x = self.features(x) 2025-09-07T08:00:02.7533138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7533473Z result = self.block(input) 2025-09-07T08:00:02.7533774Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7534085Z scale = self._scale(input) 2025-09-07T08:00:02.7534370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7534687Z return self.scale_activation(scale) 2025-09-07T08:00:02.7534822Z 2025-09-07T08:00:02.7534923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7535256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7535556Z return mod(*inputs) 2025-09-07T08:00:02.7535859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7536192Z return self._forward_impl(x) 2025-09-07T08:00:02.7536529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7536875Z x = self.features(x) 2025-09-07T08:00:02.7537178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7537509Z result = self.block(input) 2025-09-07T08:00:02.7537808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7538121Z scale = self._scale(input) 2025-09-07T08:00:02.7538416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7538724Z return self.scale_activation(scale) 2025-09-07T08:00:02.7538861Z 2025-09-07T08:00:02.7538959Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7539294Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7539595Z return mod(*inputs) 2025-09-07T08:00:02.7539897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7540232Z return self._forward_impl(x) 2025-09-07T08:00:02.7540574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7540924Z x = self.features(x) 2025-09-07T08:00:02.7541238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7541569Z result = self.block(input) 2025-09-07T08:00:02.7541869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 261, in forward 2025-09-07T08:00:02.7542175Z return scale * input 2025-09-07T08:00:02.7542276Z 2025-09-07T08:00:02.7542364Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7542588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7542925Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7543227Z return mod(*inputs) 2025-09-07T08:00:02.7543534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7543865Z return self._forward_impl(x) 2025-09-07T08:00:02.7544203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7544613Z x = self.features(x) 2025-09-07T08:00:02.7544929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7545262Z result = self.block(input) 2025-09-07T08:00:02.7545368Z 2025-09-07T08:00:02.7545467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7545813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7546120Z return mod(*inputs) 2025-09-07T08:00:02.7546436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7546778Z return self._forward_impl(x) 2025-09-07T08:00:02.7547116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7547472Z x = self.features(x) 2025-09-07T08:00:02.7547794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7548135Z result = self.block(input) 2025-09-07T08:00:02.7548244Z 2025-09-07T08:00:02.7548341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7548762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7549068Z return mod(*inputs) 2025-09-07T08:00:02.7549375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7549705Z return self._forward_impl(x) 2025-09-07T08:00:02.7550038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7550381Z x = self.features(x) 2025-09-07T08:00:02.7550693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7551035Z result = self.block(input) 2025-09-07T08:00:02.7551147Z 2025-09-07T08:00:02.7551246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7551589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7551886Z return mod(*inputs) 2025-09-07T08:00:02.7552195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7552526Z return self._forward_impl(x) 2025-09-07T08:00:02.7552855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7553200Z x = self.features(x) 2025-09-07T08:00:02.7553513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7553847Z result = self.block(input) 2025-09-07T08:00:02.7553955Z 2025-09-07T08:00:02.7554033Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7554270Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7554607Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7554908Z return mod(*inputs) 2025-09-07T08:00:02.7555217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7555545Z return self._forward_impl(x) 2025-09-07T08:00:02.7555887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7556231Z x = self.features(x) 2025-09-07T08:00:02.7556544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7556868Z result = self.block(input) 2025-09-07T08:00:02.7557173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7557970Z scale = self._scale(input) 2025-09-07T08:00:02.7558276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 253, in _scale 2025-09-07T08:00:02.7558593Z scale = self.avgpool(input) 2025-09-07T08:00:02.7558708Z 2025-09-07T08:00:02.7558806Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7559144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7559450Z return mod(*inputs) 2025-09-07T08:00:02.7559762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7560094Z return self._forward_impl(x) 2025-09-07T08:00:02.7560436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7560781Z x = self.features(x) 2025-09-07T08:00:02.7561098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7561434Z result = self.block(input) 2025-09-07T08:00:02.7561724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7562034Z scale = self._scale(input) 2025-09-07T08:00:02.7562327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7562637Z scale = self.activation(scale) 2025-09-07T08:00:02.7562755Z 2025-09-07T08:00:02.7562852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7563186Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7563490Z return mod(*inputs) 2025-09-07T08:00:02.7563801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7564134Z return self._forward_impl(x) 2025-09-07T08:00:02.7564471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7564816Z x = self.features(x) 2025-09-07T08:00:02.7565126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7565455Z result = self.block(input) 2025-09-07T08:00:02.7565746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7566055Z scale = self._scale(input) 2025-09-07T08:00:02.7566352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7566666Z scale = self.activation(scale) 2025-09-07T08:00:02.7566781Z 2025-09-07T08:00:02.7566889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7567217Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7567530Z return mod(*inputs) 2025-09-07T08:00:02.7567841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7568175Z return self._forward_impl(x) 2025-09-07T08:00:02.7568507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7568852Z x = self.features(x) 2025-09-07T08:00:02.7569163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7569497Z result = self.block(input) 2025-09-07T08:00:02.7569798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7570097Z scale = self._scale(input) 2025-09-07T08:00:02.7570392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7570766Z return self.scale_activation(scale) 2025-09-07T08:00:02.7570893Z 2025-09-07T08:00:02.7570997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7571328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7571632Z return mod(*inputs) 2025-09-07T08:00:02.7571939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7572278Z return self._forward_impl(x) 2025-09-07T08:00:02.7572620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7572958Z x = self.features(x) 2025-09-07T08:00:02.7573270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7573602Z result = self.block(input) 2025-09-07T08:00:02.7573904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7574207Z scale = self._scale(input) 2025-09-07T08:00:02.7574507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7574824Z return self.scale_activation(scale) 2025-09-07T08:00:02.7574949Z 2025-09-07T08:00:02.7575056Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7575395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7575692Z return mod(*inputs) 2025-09-07T08:00:02.7576005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7576342Z return self._forward_impl(x) 2025-09-07T08:00:02.7576686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7577037Z x = self.features(x) 2025-09-07T08:00:02.7577352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7577691Z result = self.block(input) 2025-09-07T08:00:02.7577986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 261, in forward 2025-09-07T08:00:02.7578296Z return scale * input 2025-09-07T08:00:02.7578394Z 2025-09-07T08:00:02.7578494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7578830Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7579128Z return mod(*inputs) 2025-09-07T08:00:02.7579439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7579771Z return self._forward_impl(x) 2025-09-07T08:00:02.7580101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7580454Z x = self.features(x) 2025-09-07T08:00:02.7580763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 114, in forward 2025-09-07T08:00:02.7580823Z result += input 2025-09-07T08:00:02.7580826Z 2025-09-07T08:00:02.7580930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7581115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7581177Z return mod(*inputs) 2025-09-07T08:00:02.7581393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7581461Z return self._forward_impl(x) 2025-09-07T08:00:02.7581693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7581757Z x = self.features(x) 2025-09-07T08:00:02.7582034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 114, in forward 2025-09-07T08:00:02.7582096Z result += input 2025-09-07T08:00:02.7582100Z 2025-09-07T08:00:02.7582196Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7582393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7582456Z return mod(*inputs) 2025-09-07T08:00:02.7582662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7582739Z return self._forward_impl(x) 2025-09-07T08:00:02.7582962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7583033Z x = self.features(x) 2025-09-07T08:00:02.7583238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7583312Z result = self.block(input) 2025-09-07T08:00:02.7583323Z 2025-09-07T08:00:02.7583417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7583600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7583670Z return mod(*inputs) 2025-09-07T08:00:02.7583875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7583949Z return self._forward_impl(x) 2025-09-07T08:00:02.7584169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7584233Z x = self.features(x) 2025-09-07T08:00:02.7584449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7584516Z result = self.block(input) 2025-09-07T08:00:02.7584519Z 2025-09-07T08:00:02.7584621Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7584806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7584867Z return mod(*inputs) 2025-09-07T08:00:02.7585080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7585146Z return self._forward_impl(x) 2025-09-07T08:00:02.7585369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7585431Z x = self.features(x) 2025-09-07T08:00:02.7585634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7585710Z result = self.block(input) 2025-09-07T08:00:02.7585713Z 2025-09-07T08:00:02.7585807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7585997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7586063Z return mod(*inputs) 2025-09-07T08:00:02.7586274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7586343Z return self._forward_impl(x) 2025-09-07T08:00:02.7586561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7586634Z x = self.features(x) 2025-09-07T08:00:02.7586837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7586911Z result = self.block(input) 2025-09-07T08:00:02.7586914Z 2025-09-07T08:00:02.7586991Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7587087Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7587274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7587396Z return mod(*inputs) 2025-09-07T08:00:02.7587610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7587675Z return self._forward_impl(x) 2025-09-07T08:00:02.7587897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7587969Z x = self.features(x) 2025-09-07T08:00:02.7588175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7588247Z result = self.block(input) 2025-09-07T08:00:02.7588436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7588502Z scale = self._scale(input) 2025-09-07T08:00:02.7588692Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 253, in _scale 2025-09-07T08:00:02.7588766Z scale = self.avgpool(input) 2025-09-07T08:00:02.7588771Z 2025-09-07T08:00:02.7588878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7589059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7589129Z return mod(*inputs) 2025-09-07T08:00:02.7589337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7589404Z return self._forward_impl(x) 2025-09-07T08:00:02.7589634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7589696Z x = self.features(x) 2025-09-07T08:00:02.7589912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7589978Z result = self.block(input) 2025-09-07T08:00:02.7590165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7590243Z scale = self._scale(input) 2025-09-07T08:00:02.7590424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7590501Z scale = self.activation(scale) 2025-09-07T08:00:02.7590504Z 2025-09-07T08:00:02.7590600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7590780Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7590849Z return mod(*inputs) 2025-09-07T08:00:02.7591058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7591131Z return self._forward_impl(x) 2025-09-07T08:00:02.7591358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7591429Z x = self.features(x) 2025-09-07T08:00:02.7591640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7591706Z result = self.block(input) 2025-09-07T08:00:02.7591900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7591964Z scale = self._scale(input) 2025-09-07T08:00:02.7592152Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7592222Z scale = self.activation(scale) 2025-09-07T08:00:02.7592225Z 2025-09-07T08:00:02.7592319Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7592510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7592570Z return mod(*inputs) 2025-09-07T08:00:02.7592792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7592921Z return self._forward_impl(x) 2025-09-07T08:00:02.7593143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7593213Z x = self.features(x) 2025-09-07T08:00:02.7593418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7593489Z result = self.block(input) 2025-09-07T08:00:02.7593671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7593742Z scale = self._scale(input) 2025-09-07T08:00:02.7593922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7593997Z return self.scale_activation(scale) 2025-09-07T08:00:02.7594001Z 2025-09-07T08:00:02.7594100Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7594288Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7594357Z return mod(*inputs) 2025-09-07T08:00:02.7594561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7594628Z return self._forward_impl(x) 2025-09-07T08:00:02.7594857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7594917Z x = self.features(x) 2025-09-07T08:00:02.7595129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7595193Z result = self.block(input) 2025-09-07T08:00:02.7595373Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7595446Z scale = self._scale(input) 2025-09-07T08:00:02.7595627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7595712Z return self.scale_activation(scale) 2025-09-07T08:00:02.7595715Z 2025-09-07T08:00:02.7595810Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7595995Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7596058Z return mod(*inputs) 2025-09-07T08:00:02.7596264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7596337Z return self._forward_impl(x) 2025-09-07T08:00:02.7596556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7596625Z x = self.features(x) 2025-09-07T08:00:02.7596833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7596898Z result = self.block(input) 2025-09-07T08:00:02.7597096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 261, in forward 2025-09-07T08:00:02.7597157Z return scale * input 2025-09-07T08:00:02.7597160Z 2025-09-07T08:00:02.7597244Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7597338Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7597519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7597587Z return mod(*inputs) 2025-09-07T08:00:02.7597792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7597863Z return self._forward_impl(x) 2025-09-07T08:00:02.7598080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7598142Z x = self.features(x) 2025-09-07T08:00:02.7598380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7598470Z result = self.block(input) 2025-09-07T08:00:02.7598473Z 2025-09-07T08:00:02.7598574Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7598754Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7598821Z return mod(*inputs) 2025-09-07T08:00:02.7599028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7599095Z return self._forward_impl(x) 2025-09-07T08:00:02.7599323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7599386Z x = self.features(x) 2025-09-07T08:00:02.7599598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7599664Z result = self.block(input) 2025-09-07T08:00:02.7599670Z 2025-09-07T08:00:02.7599765Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7599950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7600010Z return mod(*inputs) 2025-09-07T08:00:02.7600223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7600288Z return self._forward_impl(x) 2025-09-07T08:00:02.7600507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7600576Z x = self.features(x) 2025-09-07T08:00:02.7600780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7600851Z result = self.block(input) 2025-09-07T08:00:02.7600854Z 2025-09-07T08:00:02.7600949Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7601138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7601199Z return mod(*inputs) 2025-09-07T08:00:02.7601404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7601475Z return self._forward_impl(x) 2025-09-07T08:00:02.7601691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7601760Z x = self.features(x) 2025-09-07T08:00:02.7601966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7602030Z result = self.block(input) 2025-09-07T08:00:02.7602033Z 2025-09-07T08:00:02.7602116Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7602252Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7602443Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7602505Z return mod(*inputs) 2025-09-07T08:00:02.7602719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7602785Z return self._forward_impl(x) 2025-09-07T08:00:02.7603012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7603074Z x = self.features(x) 2025-09-07T08:00:02.7603278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7603348Z result = self.block(input) 2025-09-07T08:00:02.7603535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7603604Z scale = self._scale(input) 2025-09-07T08:00:02.7603818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 253, in _scale 2025-09-07T08:00:02.7603922Z scale = self.avgpool(input) 2025-09-07T08:00:02.7603925Z 2025-09-07T08:00:02.7604026Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7604206Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7604274Z return mod(*inputs) 2025-09-07T08:00:02.7604479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7604543Z return self._forward_impl(x) 2025-09-07T08:00:02.7604771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7604832Z x = self.features(x) 2025-09-07T08:00:02.7605041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7605108Z result = self.block(input) 2025-09-07T08:00:02.7605295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7605367Z scale = self._scale(input) 2025-09-07T08:00:02.7605548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7605622Z scale = self.activation(scale) 2025-09-07T08:00:02.7605625Z 2025-09-07T08:00:02.7605718Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7605905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7605965Z return mod(*inputs) 2025-09-07T08:00:02.7606172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7606245Z return self._forward_impl(x) 2025-09-07T08:00:02.7606467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7606539Z x = self.features(x) 2025-09-07T08:00:02.7606743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7606805Z result = self.block(input) 2025-09-07T08:00:02.7606994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7607057Z scale = self._scale(input) 2025-09-07T08:00:02.7607243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 255, in _scale 2025-09-07T08:00:02.7607312Z scale = self.activation(scale) 2025-09-07T08:00:02.7607315Z 2025-09-07T08:00:02.7607411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7607596Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7607658Z return mod(*inputs) 2025-09-07T08:00:02.7607875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7607939Z return self._forward_impl(x) 2025-09-07T08:00:02.7608168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7608231Z x = self.features(x) 2025-09-07T08:00:02.7608436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7608507Z result = self.block(input) 2025-09-07T08:00:02.7608688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7608756Z scale = self._scale(input) 2025-09-07T08:00:02.7608934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7609006Z return self.scale_activation(scale) 2025-09-07T08:00:02.7609040Z 2025-09-07T08:00:02.7609203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7609383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7609452Z return mod(*inputs) 2025-09-07T08:00:02.7609656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7609721Z return self._forward_impl(x) 2025-09-07T08:00:02.7609947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7610008Z x = self.features(x) 2025-09-07T08:00:02.7610216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7610280Z result = self.block(input) 2025-09-07T08:00:02.7610463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 260, in forward 2025-09-07T08:00:02.7610534Z scale = self._scale(input) 2025-09-07T08:00:02.7610715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 257, in _scale 2025-09-07T08:00:02.7610792Z return self.scale_activation(scale) 2025-09-07T08:00:02.7610795Z 2025-09-07T08:00:02.7610889Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7611076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7611137Z return mod(*inputs) 2025-09-07T08:00:02.7611343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7611414Z return self._forward_impl(x) 2025-09-07T08:00:02.7611636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7611707Z x = self.features(x) 2025-09-07T08:00:02.7611916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 112, in forward 2025-09-07T08:00:02.7611983Z result = self.block(input) 2025-09-07T08:00:02.7612177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/ops/misc.py", line 261, in forward 2025-09-07T08:00:02.7612238Z return scale * input 2025-09-07T08:00:02.7612241Z 2025-09-07T08:00:02.7612324Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7612420Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7612600Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7612669Z return mod(*inputs) 2025-09-07T08:00:02.7612875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7612949Z return self._forward_impl(x) 2025-09-07T08:00:02.7613168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7613236Z x = self.features(x) 2025-09-07T08:00:02.7613246Z 2025-09-07T08:00:02.7613342Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7613521Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7613588Z return mod(*inputs) 2025-09-07T08:00:02.7613796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7613871Z return self._forward_impl(x) 2025-09-07T08:00:02.7614094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 211, in _forward_impl 2025-09-07T08:00:02.7614157Z x = self.features(x) 2025-09-07T08:00:02.7614160Z 2025-09-07T08:00:02.7614244Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7614339Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7614669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7614761Z return mod(*inputs) 2025-09-07T08:00:02.7614971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7615050Z return self._forward_impl(x) 2025-09-07T08:00:02.7615275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 213, in _forward_impl 2025-09-07T08:00:02.7615349Z x = self.avgpool(x) 2025-09-07T08:00:02.7615352Z 2025-09-07T08:00:02.7615448Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7615628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7615703Z return mod(*inputs) 2025-09-07T08:00:02.7615914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7615988Z return self._forward_impl(x) 2025-09-07T08:00:02.7616215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 216, in _forward_impl 2025-09-07T08:00:02.7616294Z x = self.classifier(x) 2025-09-07T08:00:02.7616298Z 2025-09-07T08:00:02.7616393Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:00:02.7616575Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:00:02.7616648Z return mod(*inputs) 2025-09-07T08:00:02.7616857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 221, in forward 2025-09-07T08:00:02.7616934Z return self._forward_impl(x) 2025-09-07T08:00:02.7617153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/mobilenetv3.py", line 216, in _forward_impl 2025-09-07T08:00:02.7617222Z x = self.classifier(x) 2025-09-07T08:00:02.7617225Z 2025-09-07T08:00:02.7617311Z cudagraph partition due to non gpu ops 2025-09-07T08:00:02.7617389Z cudagraph partition due to non gpu ops 2025-09-07T08:00:15.4880175Z pass 2025-09-07T08:00:15.4880645Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:00:17.1388195Z /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. 2025-09-07T08:00:17.1389772Z import pynvml # type: ignore[import] 2025-09-07T08:00:18.8516319Z 2025-09-07T08:00:19.4031201Z loading model: 0it [00:00, ?it/s]You are using a model of type moondream1 to instantiate a model of type phi. This is not supported for all configurations of models and can yield errors. 2025-09-07T08:00:19.4031975Z WARNING:transformers.configuration_utils:You are using a model of type moondream1 to instantiate a model of type phi. This is not supported for all configurations of models and can yield errors. 2025-09-07T08:00:30.9908588Z 2025-09-07T08:00:30.9915348Z loading model: 0it [00:12, ?it/s] 2025-09-07T08:00:30.9918176Z cpu eval moondream 2025-09-07T08:00:36.5007704Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:00:37.4280977Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:00:38.3531278Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:01.0346611Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0347029Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0347353Z return mod(**inputs) 2025-09-07T08:01:01.0347706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0348581Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0349101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0349493Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0349859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0350214Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0350593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 386, in forward 2025-09-07T08:01:01.0351020Z position_embeddings = self.rotary_emb(hidden_states, position_ids) 2025-09-07T08:01:01.0351417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context 2025-09-07T08:01:01.0351881Z return func(*args, **kwargs) 2025-09-07T08:01:01.0352225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_rope_utils.py", line 87, in wrapper 2025-09-07T08:01:01.0352589Z return rope_forward(self, x, position_ids) 2025-09-07T08:01:01.0352954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 282, in forward 2025-09-07T08:01:01.0353383Z freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2) 2025-09-07T08:01:01.0353599Z 2025-09-07T08:01:01.0353708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0354062Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0354376Z return mod(**inputs) 2025-09-07T08:01:01.0354682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0355053Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0355425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0355821Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0356172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0356520Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0356872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 373, in forward 2025-09-07T08:01:01.0357230Z causal_mask = create_causal_mask( 2025-09-07T08:01:01.0357585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 761, in create_causal_mask 2025-09-07T08:01:01.0358062Z early_exit, attention_mask, packed_sequence_mask, kv_length, kv_offset = _preprocess_mask_arguments( 2025-09-07T08:01:01.0358550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 713, in _preprocess_mask_arguments 2025-09-07T08:01:01.0358983Z packed_sequence_mask = find_packed_sequence_indices(position_ids) 2025-09-07T08:01:01.0359409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 628, in find_packed_sequence_indices 2025-09-07T08:01:01.0359901Z first_dummy_value = position_ids[:, :1] - 1 # We just need the diff on this first value to be 1 2025-09-07T08:01:01.0360116Z 2025-09-07T08:01:01.0360199Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0360410Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0360611Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0360844Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0361174Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0361484Z return mod(**inputs) 2025-09-07T08:01:01.0361804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0362270Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0362639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0363034Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0363405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0363757Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0364121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 386, in forward 2025-09-07T08:01:01.0364544Z position_embeddings = self.rotary_emb(hidden_states, position_ids) 2025-09-07T08:01:01.0364990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/utils/_contextlib.py", line 120, in decorate_context 2025-09-07T08:01:01.0365350Z return func(*args, **kwargs) 2025-09-07T08:01:01.0365695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_rope_utils.py", line 87, in wrapper 2025-09-07T08:01:01.0366063Z return rope_forward(self, x, position_ids) 2025-09-07T08:01:01.0366431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 282, in forward 2025-09-07T08:01:01.0366892Z freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2) 2025-09-07T08:01:01.0367102Z 2025-09-07T08:01:01.0367205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0367558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0367873Z return mod(**inputs) 2025-09-07T08:01:01.0368198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0368547Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0368918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0369308Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0369673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0370011Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0370380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0370744Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0371090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0371434Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0371809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0372207Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0372611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0373033Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0373478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0373900Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0374296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0374679Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0374815Z 2025-09-07T08:01:01.0374902Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0375127Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0375475Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0375838Z return mod(**inputs) 2025-09-07T08:01:01.0376185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0376529Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0376890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0377278Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0377651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0378006Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0378363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0378724Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0379064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0379431Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0379795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0380175Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0380559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0380978Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0381424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0381837Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0382219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0382596Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0382736Z 2025-09-07T08:01:01.0382815Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0383032Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0383257Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0383616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0383936Z return mod(**inputs) 2025-09-07T08:01:01.0384257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0384598Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0384951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0385346Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0385708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0386063Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0386416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0386781Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0387125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0387476Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0387843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0388228Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0388610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0389030Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0390640Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0391067Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0391445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0391818Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0391953Z 2025-09-07T08:01:01.0392032Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0392275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0392629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0392949Z return mod(**inputs) 2025-09-07T08:01:01.0393267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0393617Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0393989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0394374Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0394732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0395073Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0395436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0395796Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0396136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0396491Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0396859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0397249Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0397622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0398044Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0398485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0398896Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0399282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0399654Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0399787Z 2025-09-07T08:01:01.0399892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0400238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0400558Z return mod(**inputs) 2025-09-07T08:01:01.0400876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0401210Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0401581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0401966Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0402326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0402674Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0403030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0403400Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0403780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0404194Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0404554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0404945Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0405323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0405723Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0405890Z 2025-09-07T08:01:01.0406001Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0406341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0406672Z return mod(**inputs) 2025-09-07T08:01:01.0406992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0407341Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0407707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0408098Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0408457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0408826Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0409190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0409547Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0409889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0410243Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0410613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0411023Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0411399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0411807Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0411976Z 2025-09-07T08:01:01.0412078Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0412425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0412742Z return mod(**inputs) 2025-09-07T08:01:01.0413058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0413410Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0413775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0414164Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0414520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0414871Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0415244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0415611Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0415960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0416304Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0416668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0417056Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0417526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0417922Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0418072Z 2025-09-07T08:01:01.0418172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0418515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0418826Z return mod(**inputs) 2025-09-07T08:01:01.0419151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0419493Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0419854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0420236Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0420594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0420958Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0421315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0421680Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0422014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0422371Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0422732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0423110Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0423490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0423885Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0424035Z 2025-09-07T08:01:01.0424127Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0424334Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0424571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0424918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0425240Z return mod(**inputs) 2025-09-07T08:01:01.0425569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0425905Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0426269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0426654Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0427014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0427373Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0427726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 373, in forward 2025-09-07T08:01:01.0428092Z causal_mask = create_causal_mask( 2025-09-07T08:01:01.0428459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 761, in create_causal_mask 2025-09-07T08:01:01.0428938Z early_exit, attention_mask, packed_sequence_mask, kv_length, kv_offset = _preprocess_mask_arguments( 2025-09-07T08:01:01.0429439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 713, in _preprocess_mask_arguments 2025-09-07T08:01:01.0429875Z packed_sequence_mask = find_packed_sequence_indices(position_ids) 2025-09-07T08:01:01.0430317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 629, in find_packed_sequence_indices 2025-09-07T08:01:01.0430838Z position_diff = torch.diff(position_ids, prepend=first_dummy_value, dim=-1) 2025-09-07T08:01:01.0431048Z 2025-09-07T08:01:01.0431134Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0431368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0431722Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0432038Z return mod(**inputs) 2025-09-07T08:01:01.0432360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0432708Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0433067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0433464Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0433828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0434175Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0434538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 373, in forward 2025-09-07T08:01:01.0434904Z causal_mask = create_causal_mask( 2025-09-07T08:01:01.0435268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 761, in create_causal_mask 2025-09-07T08:01:01.0435751Z early_exit, attention_mask, packed_sequence_mask, kv_length, kv_offset = _preprocess_mask_arguments( 2025-09-07T08:01:01.0436255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 713, in _preprocess_mask_arguments 2025-09-07T08:01:01.0436701Z packed_sequence_mask = find_packed_sequence_indices(position_ids) 2025-09-07T08:01:01.0437130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 630, in find_packed_sequence_indices 2025-09-07T08:01:01.0437555Z packed_sequence_mask = (position_diff != 1).cumsum(-1) 2025-09-07T08:01:01.0437729Z 2025-09-07T08:01:01.0437832Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0438187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0438494Z return mod(**inputs) 2025-09-07T08:01:01.0438825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0439175Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0439550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0439933Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0440288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0440647Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0441021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 373, in forward 2025-09-07T08:01:01.0441395Z causal_mask = create_causal_mask( 2025-09-07T08:01:01.0441764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 761, in create_causal_mask 2025-09-07T08:01:01.0442235Z early_exit, attention_mask, packed_sequence_mask, kv_length, kv_offset = _preprocess_mask_arguments( 2025-09-07T08:01:01.0442731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 713, in _preprocess_mask_arguments 2025-09-07T08:01:01.0443172Z packed_sequence_mask = find_packed_sequence_indices(position_ids) 2025-09-07T08:01:01.0443609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 630, in find_packed_sequence_indices 2025-09-07T08:01:01.0444033Z packed_sequence_mask = (position_diff != 1).cumsum(-1) 2025-09-07T08:01:01.0444235Z 2025-09-07T08:01:01.0444371Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0444729Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0445056Z return mod(**inputs) 2025-09-07T08:01:01.0445378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0445721Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0446097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0446488Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0446878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0447231Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0447592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0447970Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0448312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0448698Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0449071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0449451Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0449842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0450244Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0450684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.0451157Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.0451337Z 2025-09-07T08:01:01.0451418Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0451636Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0451848Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0452058Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0452280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0452635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0452953Z return mod(**inputs) 2025-09-07T08:01:01.0453285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0453625Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0453991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0454385Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0454756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0455097Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0455458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0455824Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0456172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0456532Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0456903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0457283Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0457672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0458166Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0458609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.0459075Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.0459250Z 2025-09-07T08:01:01.0459329Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0459542Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0459777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0460132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0460447Z return mod(**inputs) 2025-09-07T08:01:01.0460767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0461113Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0461478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0461867Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0462218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0462570Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0462939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0463302Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0463634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0463991Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0464358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.0464797Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.0465224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.0465600Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.0465959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.0466408Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.0466632Z 2025-09-07T08:01:01.0466718Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0466929Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0467152Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0467508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0467826Z return mod(**inputs) 2025-09-07T08:01:01.0468157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0468498Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0468860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0469244Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0469604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0469956Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0470312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0470677Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0471017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0471425Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0471784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0472167Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0472548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0472936Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0473358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.0473789Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.0473951Z 2025-09-07T08:01:01.0474027Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0474235Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0474438Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0474649Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0474869Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0475218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0475528Z return mod(**inputs) 2025-09-07T08:01:01.0475846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0476179Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0476541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0476924Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0477285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0477628Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0477987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0478347Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0478683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0479030Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0479384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0479767Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0480145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0480563Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0481015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0481417Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0481804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0482186Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0482314Z 2025-09-07T08:01:01.0482401Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0482634Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0482971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0483286Z return mod(**inputs) 2025-09-07T08:01:01.0483606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0483944Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0484322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0484747Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0485109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0485452Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0485818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0486170Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0486505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0486853Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0487216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0487606Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0487981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0488396Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0488845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0489249Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0489624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0489996Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0490131Z 2025-09-07T08:01:01.0490211Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0490417Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0490645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0490989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0491303Z return mod(**inputs) 2025-09-07T08:01:01.0491621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0491962Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0492312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0492697Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0493063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0493407Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0493769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0494120Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0494459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0494810Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0495180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0495566Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0495940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0496354Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0496800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0497205Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0497580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0498615Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0498753Z 2025-09-07T08:01:01.0498831Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0499072Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0499425Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0499735Z return mod(**inputs) 2025-09-07T08:01:01.0500063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0500420Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0500793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0501185Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0501542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0501897Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0502264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0502630Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0502963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0503313Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0503679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0504063Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0504449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0504859Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0505318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0505728Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0506112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0506488Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0506615Z 2025-09-07T08:01:01.0506717Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0507066Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0507380Z return mod(**inputs) 2025-09-07T08:01:01.0507697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0508032Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0508398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0508783Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0509140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0509486Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0509842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0510206Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0510665Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0511013Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0511368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0511748Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0512190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0512591Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0512752Z 2025-09-07T08:01:01.0512863Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0513201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0513519Z return mod(**inputs) 2025-09-07T08:01:01.0513839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0514184Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0514542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0514921Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0515288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0515628Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0515989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0516342Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0516685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0517031Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0517393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0517773Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0518142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0518540Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0518707Z 2025-09-07T08:01:01.0518809Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0519149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0519462Z return mod(**inputs) 2025-09-07T08:01:01.0519771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0520109Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0520469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0520851Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0521200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0521541Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0521905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0522262Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0522593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0522929Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0523289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0523668Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0524044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0524430Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0524578Z 2025-09-07T08:01:01.0524677Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0525076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0525398Z return mod(**inputs) 2025-09-07T08:01:01.0525720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0526060Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0526430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0526821Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0527191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0527539Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0527906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0528282Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0528632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0528993Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0529370Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0529755Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0530962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0531358Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0531507Z 2025-09-07T08:01:01.0531592Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0531809Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0532022Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0532232Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0532443Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0532646Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0532880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0533238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0533564Z return mod(**inputs) 2025-09-07T08:01:01.0533887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0534245Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0534611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0535006Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0535368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0535718Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0536091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0536461Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0536808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0537157Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0537536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0537927Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0538314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0538705Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0539142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.0539682Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.0539866Z 2025-09-07T08:01:01.0539942Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0540146Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0540368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0540716Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0541036Z return mod(**inputs) 2025-09-07T08:01:01.0541353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0541697Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0542048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0542434Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0542803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0543149Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0543505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0543870Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0544210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0544560Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0544924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.0545345Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.0545772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.0546156Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.0546509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.0546944Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.0547165Z 2025-09-07T08:01:01.0547243Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0547453Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0547685Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0548033Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0548337Z return mod(**inputs) 2025-09-07T08:01:01.0548770Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0549117Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0549486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0549868Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0550223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0550568Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0550928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0551291Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0551630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0551968Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0552329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0552817Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0553211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0553593Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0554022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.0554469Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.0554625Z 2025-09-07T08:01:01.0554707Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0554915Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0555111Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0555314Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0555545Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0555901Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0556213Z return mod(**inputs) 2025-09-07T08:01:01.0556538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0556883Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0557250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0557640Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0557999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0558345Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0558707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0559075Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0559413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0559768Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0560138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0560524Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0560908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0561324Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0561779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0562189Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0562581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0562963Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0563092Z 2025-09-07T08:01:01.0563168Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0563400Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0563745Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0564060Z return mod(**inputs) 2025-09-07T08:01:01.0564376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0564723Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0565089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0565480Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0565843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0566251Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0566616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0566984Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0567320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0567668Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0568020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0568405Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0568785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0569201Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0569649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0570059Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0570441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0570813Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0570940Z 2025-09-07T08:01:01.0571026Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0571227Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0571458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0571806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0572123Z return mod(**inputs) 2025-09-07T08:01:01.0572433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0572785Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0573149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0573538Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0573895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0574229Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0574599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0574963Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0575301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0575657Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0576012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0576400Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0576780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0577197Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0577641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0578049Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0578432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0578803Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0578928Z 2025-09-07T08:01:01.0579012Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0579240Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0579649Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0579968Z return mod(**inputs) 2025-09-07T08:01:01.0580290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0580640Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0581003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0581398Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0581762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0582114Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0582473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0582844Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0583187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0583541Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0583904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0584283Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0584667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0585085Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0585536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0585944Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0586326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0586701Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0586836Z 2025-09-07T08:01:01.0586940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0587295Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0587606Z return mod(**inputs) 2025-09-07T08:01:01.0587926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0588271Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0588637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0589026Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0589388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0589740Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0590109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0590477Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0590821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0591163Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0591536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0591928Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0592315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0592717Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0592916Z 2025-09-07T08:01:01.0593055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0593403Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0593727Z return mod(**inputs) 2025-09-07T08:01:01.0594045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0594381Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0594745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0595134Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0595495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0595834Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0596201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0596568Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0596909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0597256Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0597612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0598002Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0598382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0598781Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0598943Z 2025-09-07T08:01:01.0599050Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0599391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0599707Z return mod(**inputs) 2025-09-07T08:01:01.0600025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0600366Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0600716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0601099Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0601457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0601798Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0602159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0602510Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0602852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0603204Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0603568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0603949Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0604322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0604713Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0604868Z 2025-09-07T08:01:01.0604971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0605319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0605627Z return mod(**inputs) 2025-09-07T08:01:01.0605975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0606345Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0606709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0607104Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0607457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0607802Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0608161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0608524Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0608866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0609205Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0609576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0609961Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0610339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0610721Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0610875Z 2025-09-07T08:01:01.0610955Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0611229Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0611437Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0611643Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0611836Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0612037Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0612263Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0612618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0612927Z return mod(**inputs) 2025-09-07T08:01:01.0613247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0613592Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0613950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0614329Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0614691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0615040Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0615405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0615762Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0616107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0616459Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0616823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0617206Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0617584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0617962Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0618390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.0618856Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.0619034Z 2025-09-07T08:01:01.0619120Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0619377Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0619611Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0619954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0620268Z return mod(**inputs) 2025-09-07T08:01:01.0620587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0620920Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0621283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0621669Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0622026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0622360Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0622725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0623087Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0623424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0623774Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0624126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.0624553Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.0624976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.0625354Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.0625705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.0626138Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.0626368Z 2025-09-07T08:01:01.0626445Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0626652Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0626885Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0627223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0627534Z return mod(**inputs) 2025-09-07T08:01:01.0627855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0628201Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0628561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0628940Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0629305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0629647Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0630004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0630367Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0630693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0631041Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0631400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0631776Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0632149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0632595Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0633022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.0633460Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.0633611Z 2025-09-07T08:01:01.0633694Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0633894Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0634095Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0634297Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0634522Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0634861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0635173Z return mod(**inputs) 2025-09-07T08:01:01.0635493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0635841Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0636205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0636581Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0636940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0637277Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0637636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0637986Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0638326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0638671Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0639042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0639425Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0639790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0640206Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0640657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0641059Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0641437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0641800Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0641933Z 2025-09-07T08:01:01.0642010Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0642239Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0642585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0642890Z return mod(**inputs) 2025-09-07T08:01:01.0643208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0643550Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0643906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0644287Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0644639Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0644981Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0645340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0645777Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0646116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0646457Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0646822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0647204Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0647582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0647986Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0648432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0648876Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0649267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0649653Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0649780Z 2025-09-07T08:01:01.0649856Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0650065Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0650300Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0650647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0650957Z return mod(**inputs) 2025-09-07T08:01:01.0651281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0651626Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0651989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0652381Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0652789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0653124Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0653474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0653825Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0654154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0654485Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0654838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0655209Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0655587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0655984Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0656415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0656807Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0657181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0657542Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0657664Z 2025-09-07T08:01:01.0657740Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0657969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0658305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0658609Z return mod(**inputs) 2025-09-07T08:01:01.0659014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0659346Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0659708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0660092Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0660454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0660794Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0661161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0661524Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0661860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0662206Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0662565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0662957Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0663329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0663737Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0664178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0664572Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0664951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0665316Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0665443Z 2025-09-07T08:01:01.0665553Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0665890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0666204Z return mod(**inputs) 2025-09-07T08:01:01.0666521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0666859Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0667222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0667596Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0667956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0668295Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0668654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0669019Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0669347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0669696Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0670056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0670439Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0670809Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0671203Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0671372Z 2025-09-07T08:01:01.0671474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0671815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0672182Z return mod(**inputs) 2025-09-07T08:01:01.0672486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0672819Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0673172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0673545Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0673898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0674225Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0674574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0674925Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0675257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0675590Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0675942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0676310Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0676675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0677060Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0677217Z 2025-09-07T08:01:01.0677315Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0677650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0677954Z return mod(**inputs) 2025-09-07T08:01:01.0678263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0678593Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0678939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0679312Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0679666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0679996Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0680339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0680693Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0681020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0681356Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0681707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0682073Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0682442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0682820Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0682964Z 2025-09-07T08:01:01.0683076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0683412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0683708Z return mod(**inputs) 2025-09-07T08:01:01.0684018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0684350Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0684701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0685122Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0685474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0685810Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0686160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0686511Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0686829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0687168Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0687521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0687886Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0688250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0688621Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0688770Z 2025-09-07T08:01:01.0688848Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0689054Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0689252Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0689441Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0689635Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0689832Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0690052Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0690385Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0690688Z return mod(**inputs) 2025-09-07T08:01:01.0690997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0691335Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0691675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0692052Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0692399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0692729Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0693078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0693418Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0693748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0694081Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0694434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0694804Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0695159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0695529Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0695944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.0696391Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.0696562Z 2025-09-07T08:01:01.0696644Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0696839Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0697060Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0697398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0697775Z return mod(**inputs) 2025-09-07T08:01:01.0698084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0698422Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0698783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0699160Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0699505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0699841Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0700194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0700549Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0700887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0701223Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0701587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.0702002Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.0702418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.0702791Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.0703129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.0703555Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.0703782Z 2025-09-07T08:01:01.0703858Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0704063Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0704287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0704620Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0704923Z return mod(**inputs) 2025-09-07T08:01:01.0705234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0705566Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0705912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0706287Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0706636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0706972Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0707325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0707678Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0708011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0708347Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0708698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0709062Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0709296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0709387Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0709666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.0709831Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.0709835Z 2025-09-07T08:01:01.0709917Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0709992Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0710064Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0710141Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0710241Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0710436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0710499Z return mod(**inputs) 2025-09-07T08:01:01.0710701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0710782Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0711009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0711113Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0711317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0711389Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0711623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0711694Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0711908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0711984Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0712206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0712305Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0712531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0712668Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0712926Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0713016Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0713252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0713324Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0713327Z 2025-09-07T08:01:01.0713411Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0713509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0713705Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0713767Z return mod(**inputs) 2025-09-07T08:01:01.0713974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0714055Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0714281Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0714382Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0714585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0714664Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0714887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0714956Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0715173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0715275Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0715539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0715630Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0715850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0715980Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0716238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0716329Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0716562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0716644Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0716650Z 2025-09-07T08:01:01.0716728Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0716802Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0716909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0717094Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0717169Z return mod(**inputs) 2025-09-07T08:01:01.0717369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0717440Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0717671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0717760Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0717969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0718041Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0718268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0718347Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0718549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0718630Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0718850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0718942Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0719173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0719295Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0719561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0719646Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0719883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0719957Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0719960Z 2025-09-07T08:01:01.0720033Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0720138Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0720325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0720394Z return mod(**inputs) 2025-09-07T08:01:01.0720595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0720666Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0720923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0721051Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0721263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0721338Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0721568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0721638Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0721840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0721924Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0722143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0722241Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0722466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0722587Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0722846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0722926Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0723173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0723244Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0723247Z 2025-09-07T08:01:01.0723350Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0723537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0723599Z return mod(**inputs) 2025-09-07T08:01:01.0723812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0723885Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0724115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0724206Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0724406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0724486Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0724708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0724786Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0724991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0725070Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0725296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0725385Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0725612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0725720Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0725723Z 2025-09-07T08:01:01.0725828Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0726012Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0726076Z return mod(**inputs) 2025-09-07T08:01:01.0726288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0726359Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0726645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0726735Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0726938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0727016Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0727237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0727314Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0727516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0727589Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0727817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0727912Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0728138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0728243Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0728246Z 2025-09-07T08:01:01.0728349Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0728533Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0728598Z return mod(**inputs) 2025-09-07T08:01:01.0728808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0728881Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0729109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0729204Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0729404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0729486Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0729705Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0729782Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0729983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0730065Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0730286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0730374Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0730605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0730702Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0730705Z 2025-09-07T08:01:01.0730808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0730989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0731053Z return mod(**inputs) 2025-09-07T08:01:01.0731261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0731332Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0731563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0731652Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0731854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0731993Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0732216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0732294Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0732494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0732575Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0732797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0732887Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0733117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0733212Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0733215Z 2025-09-07T08:01:01.0733307Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0733381Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0733454Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0733533Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0733606Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0733685Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0733782Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0733964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0734035Z return mod(**inputs) 2025-09-07T08:01:01.0734234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0734314Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0734535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0734631Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0734837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0734908Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0735137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0735205Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0735416Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0735490Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0735708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0735804Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0736025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0736128Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0736393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.0736517Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.0736520Z 2025-09-07T08:01:01.0736601Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0736675Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0736778Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0736961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0737022Z return mod(**inputs) 2025-09-07T08:01:01.0737230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0737351Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0737613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0737704Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0737913Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0737985Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0738206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0738283Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0738484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0738565Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0738788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.0738925Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.0739155Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.0739245Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.0739446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.0739611Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.0739614Z 2025-09-07T08:01:01.0739698Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0739771Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0739864Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0740052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0740122Z return mod(**inputs) 2025-09-07T08:01:01.0740330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0740401Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0740621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0740719Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0740917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0740997Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0741216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0741285Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0741499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0741577Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0741804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0741894Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0742123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0742215Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0742480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.0742593Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.0742597Z 2025-09-07T08:01:01.0742670Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0742749Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0742891Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0742964Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0743067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0743251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0743323Z return mod(**inputs) 2025-09-07T08:01:01.0743523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0743593Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0743824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0743914Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0744122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0744194Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0744426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0744504Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0744708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0744793Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0745014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0745113Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0745333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0745458Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0745729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0745814Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0746055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0746129Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0746132Z 2025-09-07T08:01:01.0746208Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0746312Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0746494Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0746564Z return mod(**inputs) 2025-09-07T08:01:01.0746765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0746844Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0747071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0747165Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0747372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0747444Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0747673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0747742Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0747945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0748029Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0748256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0748354Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0748688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0748819Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0749096Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0749182Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0749494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0749568Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0749571Z 2025-09-07T08:01:01.0749651Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0749725Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0749823Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0750025Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0750089Z return mod(**inputs) 2025-09-07T08:01:01.0750303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0750376Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0750598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0750699Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0750900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0750979Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0751200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0751270Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0751488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0751564Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0751796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0751884Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0752113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0752237Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0752494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0752586Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0752823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0752907Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0752910Z 2025-09-07T08:01:01.0752985Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0753080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0753270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0753333Z return mod(**inputs) 2025-09-07T08:01:01.0753541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0753614Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0753849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0753941Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0754171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0754291Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0754514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0754592Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0754795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0754870Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0755094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0755186Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0755412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0755533Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0755792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0755881Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0756112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0756193Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0756196Z 2025-09-07T08:01:01.0756289Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0756481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0756543Z return mod(**inputs) 2025-09-07T08:01:01.0756740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0756817Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0757043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0757142Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0757343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0757413Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0757638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0757706Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0757914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0757988Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0758215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0758310Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0758528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0758644Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0758647Z 2025-09-07T08:01:01.0758743Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0758934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0758998Z return mod(**inputs) 2025-09-07T08:01:01.0759199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0759278Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0759498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0759594Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0759860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0759932Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0760157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0760227Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0760439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0760515Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0760745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0760835Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0761055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0761173Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0761176Z 2025-09-07T08:01:01.0761272Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0761463Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0761527Z return mod(**inputs) 2025-09-07T08:01:01.0761727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0761807Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0762025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0762122Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0762322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0762404Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0762627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0762696Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0762907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0762982Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0763208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0763300Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0763520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0763626Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0763629Z 2025-09-07T08:01:01.0763724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0763916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0763980Z return mod(**inputs) 2025-09-07T08:01:01.0764179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0764260Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0764479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0764576Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0764775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0764853Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0765077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0765232Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0765442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0765515Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0765744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0765833Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0766056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0766161Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0766164Z 2025-09-07T08:01:01.0766241Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0766323Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0766397Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0766470Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0766555Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0766629Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0766734Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0766918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0766981Z return mod(**inputs) 2025-09-07T08:01:01.0767192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0767265Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0767497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0767593Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0767805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0767884Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0768108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0768187Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0768395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0768481Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0768701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0768788Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0769016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0769108Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0769388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.0769517Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.0769520Z 2025-09-07T08:01:01.0769605Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0769679Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0769776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0769973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0770038Z return mod(**inputs) 2025-09-07T08:01:01.0770250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0770321Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0770545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0770645Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0770904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0770985Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0771206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0771274Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0771490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0771564Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0771795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.0771931Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.0772153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.0772255Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.0772449Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.0772624Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.0772627Z 2025-09-07T08:01:01.0772701Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0772780Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0772875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0773059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0773132Z return mod(**inputs) 2025-09-07T08:01:01.0773334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0773416Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0773641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0773730Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0773938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0774008Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0774237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0774305Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0774515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0774590Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0774811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0774915Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0775136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0775237Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0775505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.0775608Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.0775611Z 2025-09-07T08:01:01.0775693Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0775767Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0775845Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0775918Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0776016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0776274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0776338Z return mod(**inputs) 2025-09-07T08:01:01.0776547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0776618Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0776838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0776937Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0777136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0777213Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0777432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0777510Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0777722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0777796Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0778024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0778114Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0778339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0778463Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0778716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0778806Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0779042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0779125Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0779128Z 2025-09-07T08:01:01.0779200Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0779304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0779488Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0779551Z return mod(**inputs) 2025-09-07T08:01:01.0779758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0779830Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0780057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0780147Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0780357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0780440Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0780660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0780738Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0780941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0781014Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0781244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0781335Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0781559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0781683Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0782010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0782091Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0782327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0782410Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0782413Z 2025-09-07T08:01:01.0782488Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0782566Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0782662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0782845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0782918Z return mod(**inputs) 2025-09-07T08:01:01.0783123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0783202Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0783426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0783517Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0783725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0783796Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0784029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0784099Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0784314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0784391Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0784620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0784720Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0784942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0785071Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0785327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0785410Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0785650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0785720Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0785722Z 2025-09-07T08:01:01.0785804Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0785908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0786097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0786161Z return mod(**inputs) 2025-09-07T08:01:01.0786361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0786440Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0786663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0786761Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0786962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0787035Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0787264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0787412Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0787623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0787697Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0787917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0788016Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0788235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0788362Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0788617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0788702Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0788947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0789018Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0789021Z 2025-09-07T08:01:01.0789124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0789305Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0789374Z return mod(**inputs) 2025-09-07T08:01:01.0789573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0789641Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0789871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0789963Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0790174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0790247Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0790476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0790545Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0790746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0790829Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0791048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0791144Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0791363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0791476Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0791479Z 2025-09-07T08:01:01.0791581Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0791764Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0791836Z return mod(**inputs) 2025-09-07T08:01:01.0792033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0792104Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0792331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0792420Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0792628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0792698Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0792993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0793066Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0793268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0793353Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0793572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0793669Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0793888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0793993Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0793996Z 2025-09-07T08:01:01.0794098Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0794285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0794356Z return mod(**inputs) 2025-09-07T08:01:01.0794553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0794632Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0794851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0794939Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0795146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0795216Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0795445Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0795514Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0795720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0795803Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0796024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0796118Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0796340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0796434Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0796446Z 2025-09-07T08:01:01.0796540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0796719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0796789Z return mod(**inputs) 2025-09-07T08:01:01.0796991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0797070Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0797290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0797379Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0797592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0797661Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0797887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0797956Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0798157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0798240Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0798524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0798626Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0798846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0798948Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0798951Z 2025-09-07T08:01:01.0799027Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0799102Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0799184Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0799256Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0799334Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0799406Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0799501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0799695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0799758Z return mod(**inputs) 2025-09-07T08:01:01.0799966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0800037Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0800258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0800358Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0800556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0800633Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0800853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0800921Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0801138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0801211Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0801437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0801527Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0801748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0801849Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0802117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.0802248Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.0802251Z 2025-09-07T08:01:01.0802327Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0802409Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0802507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0802689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0802761Z return mod(**inputs) 2025-09-07T08:01:01.0802960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0803040Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0803257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0803346Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0803556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0803626Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0803921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0803992Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0804195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0804278Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0804499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.0804640Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.0804858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.0804958Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.0805156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.0805329Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.0805332Z 2025-09-07T08:01:01.0805416Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0805489Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0805593Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0805777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0805842Z return mod(**inputs) 2025-09-07T08:01:01.0806054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0806125Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0806354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0806447Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0806661Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0806734Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0806958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0807035Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0807240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0807325Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0807546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0807636Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0807863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0807961Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0808241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.0808345Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.0808348Z 2025-09-07T08:01:01.0808430Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0808502Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0808596Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0808784Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0808847Z return mod(**inputs) 2025-09-07T08:01:01.0809057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0809130Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0809406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0809510Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0809711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0809791Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0810016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0810085Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0810296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0810370Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0810600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 247, in forward 2025-09-07T08:01:01.0810732Z hidden_states = attn_outputs + feed_forward_hidden_states + residual 2025-09-07T08:01:01.0810735Z 2025-09-07T08:01:01.0810809Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0810893Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0810989Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0811178Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0811239Z return mod(**inputs) 2025-09-07T08:01:01.0811446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0811517Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0811736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0811835Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0812040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0812122Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0812343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0812411Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0812623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0812696Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0812928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0813018Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0813239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0813375Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0813638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0813728Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0813959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0814038Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0814041Z 2025-09-07T08:01:01.0814114Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0814209Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0814397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0814458Z return mod(**inputs) 2025-09-07T08:01:01.0814664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0814796Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0815018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0815118Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0815319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0815394Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0815612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0815680Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0815891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0815964Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0816194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0816287Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0816515Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0816637Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0816889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0816979Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0817208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0817291Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0817295Z 2025-09-07T08:01:01.0817369Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0817444Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0817551Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0817734Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0817807Z return mod(**inputs) 2025-09-07T08:01:01.0818009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0818081Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0818309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0818400Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0818610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0818682Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0818914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0818986Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0819188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0819272Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0819492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0819593Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0819814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0819937Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0820199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0820280Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0820599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0820671Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0820674Z 2025-09-07T08:01:01.0820754Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0820851Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0821041Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0821110Z return mod(**inputs) 2025-09-07T08:01:01.0821312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0821391Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0821615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0821706Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0821924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0821996Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0822223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0822292Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0822497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0822579Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0822799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0822898Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0823123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0823254Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0823511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0823595Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0823836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0823908Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0823911Z 2025-09-07T08:01:01.0824012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0824197Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0824261Z return mod(**inputs) 2025-09-07T08:01:01.0824475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0824550Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0824777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0824867Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0825077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0825149Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0825369Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0825446Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0825651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0825735Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0825984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0826109Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0826338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0826444Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0826448Z 2025-09-07T08:01:01.0826549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0826731Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0826801Z return mod(**inputs) 2025-09-07T08:01:01.0827003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0827074Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0827307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0827399Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0827608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0827679Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0827899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0827976Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0828176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0828256Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0828475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0828565Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0828797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0828903Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0828906Z 2025-09-07T08:01:01.0829007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0829188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0829256Z return mod(**inputs) 2025-09-07T08:01:01.0829457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0829529Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0829756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0829847Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0830057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0830132Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0830353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0830430Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0830632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0830715Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0830937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0831024Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0831252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0831346Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0831401Z 2025-09-07T08:01:01.0831508Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0831691Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0831763Z return mod(**inputs) 2025-09-07T08:01:01.0831963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0832035Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0832266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0832357Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0832568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0832639Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0832862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0832940Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0833143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0833227Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0833451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0833546Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0833768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0833862Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0833865Z 2025-09-07T08:01:01.0833953Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0834028Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0834113Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0834185Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0834258Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0834337Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0834435Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0834629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0834691Z return mod(**inputs) 2025-09-07T08:01:01.0834894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0834975Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0835198Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0835295Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0835499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0835573Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0835802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0835872Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0836085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0836162Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0836384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0836483Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0836708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0836806Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0837129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.0837264Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.0837267Z 2025-09-07T08:01:01.0837342Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0837416Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0837520Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0837703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0837773Z return mod(**inputs) 2025-09-07T08:01:01.0837976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0838046Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0838284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0838380Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0838593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0838664Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0838897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0838967Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0839171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0839254Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0839475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.0839619Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.0839846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.0839936Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.0840145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.0840316Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.0840319Z 2025-09-07T08:01:01.0840401Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0840473Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0840571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0840763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0840826Z return mod(**inputs) 2025-09-07T08:01:01.0841036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0841109Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0841342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0841431Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0841632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0841710Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0841931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0842009Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0842212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0842287Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0842571Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0842663Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0842892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0842984Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0843260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.0843364Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.0843367Z 2025-09-07T08:01:01.0843441Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0843524Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0843596Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0843676Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0843777Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0843963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0844036Z return mod(**inputs) 2025-09-07T08:01:01.0844240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0844319Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0844543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0844632Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0844843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0844915Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0845149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0845219Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0845425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0845509Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0845730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0845827Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0846049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0846181Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0846437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0846521Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0846767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0846840Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0846843Z 2025-09-07T08:01:01.0846924Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0847019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0847202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0847274Z return mod(**inputs) 2025-09-07T08:01:01.0847476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0847555Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0847779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0847905Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0848143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0848217Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0848474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0848547Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0848763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0848840Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0849068Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0849170Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0849401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0849541Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0849808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0849890Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0850130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0850207Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0850210Z 2025-09-07T08:01:01.0850294Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0850369Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0850475Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0850661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0850728Z return mod(**inputs) 2025-09-07T08:01:01.0850940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0851015Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0851244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0851335Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0851536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0851617Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0851838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0851917Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0852120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0852200Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0852427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0852518Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0852743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0852863Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0853124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0853205Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0853434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0853515Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0853607Z 2025-09-07T08:01:01.0853684Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0853789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0853973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0854037Z return mod(**inputs) 2025-09-07T08:01:01.0854245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0854317Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0854548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0854638Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0854839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0854923Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0855151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0855229Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0855435Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0855520Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0855742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0855833Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0856062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0856185Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0856451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0856536Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0856769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0856847Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0856850Z 2025-09-07T08:01:01.0856948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0857137Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0857201Z return mod(**inputs) 2025-09-07T08:01:01.0857414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0857487Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0857708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0857813Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0858015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0858097Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0858319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0858390Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0858603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0858676Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0858907Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0858997Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0859253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0859399Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0859402Z 2025-09-07T08:01:01.0859502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0859694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0859756Z return mod(**inputs) 2025-09-07T08:01:01.0859963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0860035Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0860252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0860351Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0860559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0860645Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0860865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0860933Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0861143Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0861216Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0861444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0861532Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0861756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0861860Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0861866Z 2025-09-07T08:01:01.0861964Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0862154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0862216Z return mod(**inputs) 2025-09-07T08:01:01.0862423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0862497Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0862719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0862817Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0863016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0863095Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0863317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0863391Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0863602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0863676Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0863906Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0863995Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0864221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0864316Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0864319Z 2025-09-07T08:01:01.0864417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0864608Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0864729Z return mod(**inputs) 2025-09-07T08:01:01.0864940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0865012Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0865235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0865333Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0865535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0865612Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0865835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0865910Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0866117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0866193Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0866423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0866511Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0866739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0866833Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0866836Z 2025-09-07T08:01:01.0866912Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0866997Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0867071Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0867147Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0867219Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0867292Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0867402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0867585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0867656Z return mod(**inputs) 2025-09-07T08:01:01.0867856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0867927Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0868157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0868246Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0868453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0868524Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0868746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0868825Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0869034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0869116Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0869338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0869435Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0869658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0869751Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0870028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.0870194Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.0870225Z 2025-09-07T08:01:01.0870309Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0870384Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0870481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0870676Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0870740Z return mod(**inputs) 2025-09-07T08:01:01.0870953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0871025Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0871250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0871352Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0871557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0871640Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0871864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0871940Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0872146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0872223Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0872457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.0872595Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.0872827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.0872920Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.0873124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.0873306Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.0873309Z 2025-09-07T08:01:01.0873384Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0873469Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0873569Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0873762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0873827Z return mod(**inputs) 2025-09-07T08:01:01.0874030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0874114Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0874341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0874443Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0874647Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0874720Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0874949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0875018Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0875229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0875303Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0875525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0875624Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0875899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0876002Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0876272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.0876384Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.0876387Z 2025-09-07T08:01:01.0876461Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0876534Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0876616Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0876687Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0876791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0876973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0877040Z return mod(**inputs) 2025-09-07T08:01:01.0877256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0877328Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0877558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0877652Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0877854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0877932Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0878156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0878233Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0878437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0878523Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0878744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0878835Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0879063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0879189Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0879454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0879536Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0879767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0879847Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0879855Z 2025-09-07T08:01:01.0879929Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0880031Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0880215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0880276Z return mod(**inputs) 2025-09-07T08:01:01.0880484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0880555Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0880785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0880876Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0881084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0881154Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0881432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0881514Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0881715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0881797Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0882018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0882109Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0882336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0882459Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0882725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0882808Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0883045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0883116Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0883119Z 2025-09-07T08:01:01.0883193Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0883276Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0883372Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0883563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0883626Z return mod(**inputs) 2025-09-07T08:01:01.0883828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0883908Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0884135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0884234Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0884436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0884508Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0884739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0884808Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0885019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0885094Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0885323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0885422Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0885642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0885771Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0886027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0886114Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0886347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0886417Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0886421Z 2025-09-07T08:01:01.0886503Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0886599Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0886815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0886913Z return mod(**inputs) 2025-09-07T08:01:01.0887115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0887196Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0887418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0887515Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0887714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0887792Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0888011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0888079Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0888292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0888366Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0888597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0888690Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0888912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0889042Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0889296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0889382Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0889615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0889694Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0889697Z 2025-09-07T08:01:01.0889792Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0889972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0890045Z return mod(**inputs) 2025-09-07T08:01:01.0890247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0890329Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0890549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0890639Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0890848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0890928Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0891160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0891230Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0891434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0891516Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0891736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0891834Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0892055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0892168Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0892171Z 2025-09-07T08:01:01.0892266Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0892513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0892586Z return mod(**inputs) 2025-09-07T08:01:01.0892787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0892864Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0893087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0893177Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0893387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0893457Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0893687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0893762Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0893978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0894053Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0894275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0894370Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0894592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0894702Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0894705Z 2025-09-07T08:01:01.0894801Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0894986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0895061Z return mod(**inputs) 2025-09-07T08:01:01.0895267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0895346Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0895569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0895660Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0895873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0895946Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0896176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0896245Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0896456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0896537Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0896762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0896863Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0897083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0897189Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0897192Z 2025-09-07T08:01:01.0897290Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0897471Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0897543Z return mod(**inputs) 2025-09-07T08:01:01.0897743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0897851Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0898099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0898199Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0898402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0898473Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0898699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0898768Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0898977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0899051Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0899277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0899380Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0899600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0899704Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0899707Z 2025-09-07T08:01:01.0899783Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0899856Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0899936Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0900008Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0900088Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0900160Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0900254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0900446Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0900513Z return mod(**inputs) 2025-09-07T08:01:01.0900723Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0900795Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0901015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0901113Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0901314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0901397Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0901619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0901698Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0901901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0901980Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0902208Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0902300Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0902524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0902615Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0902884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.0903017Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.0903021Z 2025-09-07T08:01:01.0903094Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0903174Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0903330Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0903523Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0903585Z return mod(**inputs) 2025-09-07T08:01:01.0903786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0903866Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0904086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0904188Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0904388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0904459Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0904687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0904760Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0904967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0905041Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0905260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.0905402Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.0905622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.0905720Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.0905915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.0906092Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.0906097Z 2025-09-07T08:01:01.0906172Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0906244Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0906345Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0906526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0906597Z return mod(**inputs) 2025-09-07T08:01:01.0906797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0906870Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0907098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0907186Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0907394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0907470Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0907687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0907764Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0907966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0908048Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0908267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0908364Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0908584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0908675Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0909040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.0909144Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.0909147Z 2025-09-07T08:01:01.0909227Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0909299Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0909372Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0909451Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0909547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0909739Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0909802Z return mod(**inputs) 2025-09-07T08:01:01.0910005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0910086Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0910315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0910413Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0910617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0910699Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0910920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0910987Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0911199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0911273Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0911502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0911597Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0911818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0911950Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0912207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0912300Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0912534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0912606Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0912617Z 2025-09-07T08:01:01.0912691Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0912786Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0912981Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0913045Z return mod(**inputs) 2025-09-07T08:01:01.0913255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0913325Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0913549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0913647Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0913849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0913927Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0914149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0914217Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0914486Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0914562Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0914790Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0914879Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0915100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0915231Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0915487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0915577Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0915810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0915892Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0915896Z 2025-09-07T08:01:01.0915969Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0916041Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0916144Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0916328Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0916398Z return mod(**inputs) 2025-09-07T08:01:01.0916598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0916670Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0916900Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0916994Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0917207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0917278Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0917502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0917579Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0917781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0917866Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0918085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0918184Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0918403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0918532Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0918793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0918875Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0919110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0919180Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0919183Z 2025-09-07T08:01:01.0919261Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0919354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0919536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0919604Z return mod(**inputs) 2025-09-07T08:01:01.0919803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0919941Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0920162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0920254Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0920464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0920537Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0920768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0920837Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0921041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0921125Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0921349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0921451Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0921674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0921795Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0922059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0922139Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0922380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0922451Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0922454Z 2025-09-07T08:01:01.0922558Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0922746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0922808Z return mod(**inputs) 2025-09-07T08:01:01.0923025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0923097Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0923326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0923416Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0923620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0923699Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0923921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0923997Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0924205Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0924288Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0924511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0924600Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0924831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0924938Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0924941Z 2025-09-07T08:01:01.0925044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0925229Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0925293Z return mod(**inputs) 2025-09-07T08:01:01.0925559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0925632Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0925862Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0925952Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0926166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0926239Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0926460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0926542Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0926744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0926829Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0927057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0927148Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0927376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0927479Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0927483Z 2025-09-07T08:01:01.0927584Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0927768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0927833Z return mod(**inputs) 2025-09-07T08:01:01.0928047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0928119Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0928356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0928448Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0928658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0928729Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0928952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0929030Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0929234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0929317Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0929541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0929638Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0929865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0929959Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0929962Z 2025-09-07T08:01:01.0930066Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0930248Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0930321Z return mod(**inputs) 2025-09-07T08:01:01.0930523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0930595Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0930825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0930919Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0931191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0931263Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0931483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0931560Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0931761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0931843Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0932064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0932154Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0932383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0932482Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0932485Z 2025-09-07T08:01:01.0932570Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0932645Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0932724Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0932794Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0932865Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0932944Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0933038Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0933227Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0933291Z return mod(**inputs) 2025-09-07T08:01:01.0933493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0933571Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0933796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0933893Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0934093Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0934165Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0934392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0934461Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0934669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0934743Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0934963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0935066Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0935288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0935388Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0935658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.0935793Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.0935796Z 2025-09-07T08:01:01.0935869Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0935941Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0936045Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0936225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0936295Z return mod(**inputs) 2025-09-07T08:01:01.0936582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0936656Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0936889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0936980Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0937192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0937264Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0937488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0937566Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0937769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0937859Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0938080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.0938221Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.0938444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.0938537Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.0938739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.0938905Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.0938908Z 2025-09-07T08:01:01.0938993Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0939066Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0939167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0939365Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0939432Z return mod(**inputs) 2025-09-07T08:01:01.0939644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0939715Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0939936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0940036Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0940236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0940316Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0940536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0940619Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0940820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0940893Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0941124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0941216Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0941441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.0941532Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.0941798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.0941908Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.0941937Z 2025-09-07T08:01:01.0942038Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0942121Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0942218Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0942402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0942472Z return mod(**inputs) 2025-09-07T08:01:01.0942678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0942759Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0942984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0943084Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0943290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0943366Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0943597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0943664Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0943876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0943952Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0944178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 247, in forward 2025-09-07T08:01:01.0944313Z hidden_states = attn_outputs + feed_forward_hidden_states + residual 2025-09-07T08:01:01.0944316Z 2025-09-07T08:01:01.0944391Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0944471Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0944566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0944755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0944827Z return mod(**inputs) 2025-09-07T08:01:01.0945030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0945107Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0945332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0945430Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0945633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0945704Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0945933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0946001Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0946219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0946294Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0946516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0946616Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0946837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0946969Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0947227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0947319Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0947583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0947682Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0947685Z 2025-09-07T08:01:01.0947767Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0947862Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0948056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0948120Z return mod(**inputs) 2025-09-07T08:01:01.0948326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0948406Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0948666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0948762Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0948963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0949036Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0949266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0949337Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0949548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0949622Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0949852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0949942Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0950163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0950296Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0950557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.0950648Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.0950878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0950950Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0950954Z 2025-09-07T08:01:01.0951038Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0980268Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0980473Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0980689Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0980772Z return mod(**inputs) 2025-09-07T08:01:01.0981014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0981115Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0981356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0981458Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0981679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0981757Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0981994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0982068Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0982280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0982370Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0982931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0983105Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0983333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0983465Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0983742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0983830Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0984080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0984158Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0984164Z 2025-09-07T08:01:01.0984256Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0984366Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0984564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0984640Z return mod(**inputs) 2025-09-07T08:01:01.0984849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0984933Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0985158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0985259Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0985479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0985552Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0985783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0985859Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0986066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0986153Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0986378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0986483Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0986708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.0986844Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.0987103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.0987190Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.0987436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.0987511Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.0987515Z 2025-09-07T08:01:01.0987622Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0987812Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0987876Z return mod(**inputs) 2025-09-07T08:01:01.0988090Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0988163Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0988392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0988488Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0988729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0988830Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0989051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0989131Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0989335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0989419Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0989642Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0989733Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0989964Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0990075Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0990080Z 2025-09-07T08:01:01.0990188Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0990372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0990445Z return mod(**inputs) 2025-09-07T08:01:01.0990646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0990720Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0990956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0991049Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0991259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0991332Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0991563Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0991642Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0991846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0991930Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0992154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0992246Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0992473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.0992578Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.0992582Z 2025-09-07T08:01:01.0992684Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0992875Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0992948Z return mod(**inputs) 2025-09-07T08:01:01.0993150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0993221Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0993451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0993543Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0993752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0993823Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0994043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0994121Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0994396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0994480Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0994708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0994800Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0995031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0995129Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0995132Z 2025-09-07T08:01:01.0995237Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0995421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0995491Z return mod(**inputs) 2025-09-07T08:01:01.0995700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0995775Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0996008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0996099Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0996308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0996379Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0996606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0996681Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0996886Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0996972Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.0997200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.0997301Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.0997526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.0997621Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.0997624Z 2025-09-07T08:01:01.0997710Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0997788Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0997868Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0997941Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0998014Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0998092Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.0998189Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.0998387Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.0998451Z return mod(**inputs) 2025-09-07T08:01:01.0998655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.0998734Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.0998960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.0999058Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.0999263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.0999336Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.0999574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.0999644Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.0999911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.0999989Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1000212Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1000313Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1000536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1000637Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1000912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1001044Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1001048Z 2025-09-07T08:01:01.1001125Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1001205Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1001309Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1001492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1001562Z return mod(**inputs) 2025-09-07T08:01:01.1001764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1001838Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1002066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1002157Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1002365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1002438Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1002675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1002745Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1002950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1003035Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1003259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1003402Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1003624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1003716Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1003922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1004103Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1004107Z 2025-09-07T08:01:01.1004193Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1004268Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1004363Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1004556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1004621Z return mod(**inputs) 2025-09-07T08:01:01.1004833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1004907Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1005138Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1005229Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1005487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1005569Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1005796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1005874Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1006080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1006155Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1006391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1006484Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1006718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1006817Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1007102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1007209Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1007212Z 2025-09-07T08:01:01.1007288Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1007373Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1007446Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1007525Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1007623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1007808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1007880Z return mod(**inputs) 2025-09-07T08:01:01.1008087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1008171Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1008396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1008487Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1008702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1008774Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1009009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1009078Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1009286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1009370Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1009600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1009698Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1009923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1010059Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1010325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1010411Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1010658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1010732Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1010735Z 2025-09-07T08:01:01.1010820Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1010973Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1011158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1011232Z return mod(**inputs) 2025-09-07T08:01:01.1011440Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1011521Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1011745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1011839Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1012050Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1012122Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1012358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1012433Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1012648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1012721Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1012946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1013048Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1013270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1013403Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1013663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1013745Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1013995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1014067Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1014070Z 2025-09-07T08:01:01.1014153Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1014227Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1014330Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1014514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1014576Z return mod(**inputs) 2025-09-07T08:01:01.1014785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1014857Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1015087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1015184Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1015390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1015470Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1015695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1015773Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1015982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1016056Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1016286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1016376Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1016645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1016815Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1017076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1017160Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1017392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1017475Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1017478Z 2025-09-07T08:01:01.1017553Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1017656Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1017842Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1017905Z return mod(**inputs) 2025-09-07T08:01:01.1018122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1018194Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1018427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1018517Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1018719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1018800Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1019022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1019101Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1019304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1019391Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1019612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1019702Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1019930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1020055Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1020317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1020399Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1020627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1020705Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1020712Z 2025-09-07T08:01:01.1020810Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1021001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1021064Z return mod(**inputs) 2025-09-07T08:01:01.1021271Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1021344Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1021564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1021666Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1021863Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1021944Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1022197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1022297Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1022521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1022599Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1022839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1022929Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1023154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1023270Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1023273Z 2025-09-07T08:01:01.1023369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1023562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1023631Z return mod(**inputs) 2025-09-07T08:01:01.1023844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1023915Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1024142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1024243Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1024447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1024525Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1024750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1024821Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1025040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1025118Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1025350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1025439Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1025663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1025777Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1025780Z 2025-09-07T08:01:01.1025876Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1026071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1026133Z return mod(**inputs) 2025-09-07T08:01:01.1026345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1026421Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1026645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1026744Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1026948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1027028Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1027253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1027321Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1027535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1027611Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1027897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1027987Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1028220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1028317Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1028319Z 2025-09-07T08:01:01.1028414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1028604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1028666Z return mod(**inputs) 2025-09-07T08:01:01.1028873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1028944Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1029166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1029269Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1029470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1029551Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1029773Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1029841Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1030051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1030125Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1030350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1030439Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1030671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1030766Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1030769Z 2025-09-07T08:01:01.1030844Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1030927Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1031000Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1031080Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1031151Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1031222Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1031323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1031504Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1031571Z return mod(**inputs) 2025-09-07T08:01:01.1031777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1031851Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1032083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1032173Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1032382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1032453Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1032674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1032751Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1032956Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1033040Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1033334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1033435Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1033663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1033755Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1034035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1034161Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1034165Z 2025-09-07T08:01:01.1034244Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1034315Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1034410Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1034606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1034671Z return mod(**inputs) 2025-09-07T08:01:01.1034882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1034953Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1035176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1035275Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1035479Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1035557Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1035780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1035859Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1036064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1036143Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1036374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1036510Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1036740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1036830Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1037024Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1037200Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1037203Z 2025-09-07T08:01:01.1037280Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1037368Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1037464Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1037657Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1037721Z return mod(**inputs) 2025-09-07T08:01:01.1037924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1038001Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1038224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1038326Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1038528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1038600Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1038885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1038956Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1039170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1039247Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1039472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1039574Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1039797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1039898Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1040169Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1040286Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1040289Z 2025-09-07T08:01:01.1040363Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1040435Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1040514Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1040586Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1040689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1040874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1040936Z return mod(**inputs) 2025-09-07T08:01:01.1041146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1041218Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1041447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1041544Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1041748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1041826Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1042049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1042121Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1042322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1042396Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1042621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1042710Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1042941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1043068Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1043332Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1043415Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1043648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1043727Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1043730Z 2025-09-07T08:01:01.1043806Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1043909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1044095Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1044158Z return mod(**inputs) 2025-09-07T08:01:01.1044425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1044497Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1044726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1044815Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1045025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1045099Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1045320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1045399Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1045605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1045694Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1045916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1046016Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1046237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1046366Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1046621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1046702Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1046945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1047019Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1047025Z 2025-09-07T08:01:01.1047111Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1047183Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1047288Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1047472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1047538Z return mod(**inputs) 2025-09-07T08:01:01.1047747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1047819Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1048047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1048139Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1048339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1048423Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1048698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1048777Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1048984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1049059Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1049289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1049380Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1049611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1049733Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1050043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1050165Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1050399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1050480Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1050483Z 2025-09-07T08:01:01.1050557Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1050660Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1050846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1050911Z return mod(**inputs) 2025-09-07T08:01:01.1051123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1051197Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1051437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1051529Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1051732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1051814Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1052038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1052118Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1052323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1052408Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1052629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1052725Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1052954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1053076Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1053342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1053423Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1053657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1053736Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1053739Z 2025-09-07T08:01:01.1053834Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1054026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1054092Z return mod(**inputs) 2025-09-07T08:01:01.1054304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1054376Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1054599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1054699Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1054904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1054981Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1055203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1055276Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1055490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1055637Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1055870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1055960Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1056182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1056299Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1056302Z 2025-09-07T08:01:01.1056397Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1056590Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1056655Z return mod(**inputs) 2025-09-07T08:01:01.1056868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1056944Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1057164Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1057266Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1057466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1057546Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1057769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1057846Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1058047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1058121Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1058349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1058440Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1058664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1058770Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1058774Z 2025-09-07T08:01:01.1058868Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1059058Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1059121Z return mod(**inputs) 2025-09-07T08:01:01.1059329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1059401Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1059623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1059724Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1059925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1060005Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1060226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1060299Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1060503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1060576Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1060802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1060889Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1061147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1061269Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1061273Z 2025-09-07T08:01:01.1061368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1061559Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1061625Z return mod(**inputs) 2025-09-07T08:01:01.1061833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1061903Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1062131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1062219Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1062421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1062507Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1062729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1062801Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1063003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1063076Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1063303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1063389Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1063615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1063706Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1063712Z 2025-09-07T08:01:01.1063789Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1063869Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1063944Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1064021Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1064094Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1064165Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1064265Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1064444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1064514Z return mod(**inputs) 2025-09-07T08:01:01.1064715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1064786Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1065009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1065106Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1065315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1065384Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1065608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1065675Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1065873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1065957Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1066176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1066274Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1066551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1066644Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1066920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1067046Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1067049Z 2025-09-07T08:01:01.1067134Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1067205Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1067308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1067489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1067553Z return mod(**inputs) 2025-09-07T08:01:01.1067761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1067840Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1068070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1068161Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1068362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1068441Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1068662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1068737Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1068940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1069014Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1069247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1069387Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1069614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1069703Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1069904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1070072Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1070076Z 2025-09-07T08:01:01.1070149Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1070229Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1070324Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1070513Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1070577Z return mod(**inputs) 2025-09-07T08:01:01.1070780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1070860Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1071080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1071173Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1071374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1071445Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1071672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1071741Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1071982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1072081Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1072308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1072396Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1072616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1072713Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1072978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1073089Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1073092Z 2025-09-07T08:01:01.1073166Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1073240Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1073323Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1073394Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1073497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1073679Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1073742Z return mod(**inputs) 2025-09-07T08:01:01.1073948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1074019Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1074243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1074332Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1074531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1074612Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1074833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1074908Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1075108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1075187Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1075407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1075493Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1075719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1075840Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1076107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1076187Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1076418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1076493Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1076496Z 2025-09-07T08:01:01.1076569Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1076670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1076851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1076918Z return mod(**inputs) 2025-09-07T08:01:01.1077118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1077188Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1077480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1077571Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1077777Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1077848Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1078069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1078144Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1078347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1078429Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1078651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1078746Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1078973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1079094Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1079357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1079437Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1079678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1079750Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1079753Z 2025-09-07T08:01:01.1079828Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1079908Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1080005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1080200Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1080263Z return mod(**inputs) 2025-09-07T08:01:01.1080465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1080544Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1080765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1080860Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1081062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1081132Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1081359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1081429Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1081643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1081718Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1081948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1082040Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1082260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1082391Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1082645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1082734Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1082996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1083094Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1083106Z 2025-09-07T08:01:01.1083181Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1083275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1083469Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1083531Z return mod(**inputs) 2025-09-07T08:01:01.1083739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1083810Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1084028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1084128Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1084330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1084413Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1084632Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1084702Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1084911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1084988Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1085219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1085309Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1085526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1085660Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1085911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1086001Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1086233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1086311Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1086314Z 2025-09-07T08:01:01.1086409Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1086591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1086660Z return mod(**inputs) 2025-09-07T08:01:01.1086860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1086941Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1087168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1087259Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1087468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1087541Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1087767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1087835Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1088047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1088121Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1088340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1088499Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1088722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1088836Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1088839Z 2025-09-07T08:01:01.1088934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1089116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1089185Z return mod(**inputs) 2025-09-07T08:01:01.1089384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1089463Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1089685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1089782Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1089991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1090063Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1090293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1090362Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1090572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1090647Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1090867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1090963Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1091187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1091302Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1091305Z 2025-09-07T08:01:01.1091399Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1091581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1091652Z return mod(**inputs) 2025-09-07T08:01:01.1091851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1091930Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1092149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1092248Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1092447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1092525Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1092752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1092820Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1093032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1093106Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1093326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1093426Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1093645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1093750Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1093753Z 2025-09-07T08:01:01.1093908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1094109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1094172Z return mod(**inputs) 2025-09-07T08:01:01.1094374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1094455Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1094679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1094778Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1094981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1095052Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1095284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1095359Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1095569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1095643Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1095866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1095963Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1096183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1096283Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1096286Z 2025-09-07T08:01:01.1096360Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1096442Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1096515Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1096592Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1096673Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1096745Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1096840Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1097034Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1097095Z return mod(**inputs) 2025-09-07T08:01:01.1097305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1097375Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1097608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1097699Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1097901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1097986Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1098209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1098287Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1098492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1098568Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1098801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1098891Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1099122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1099214Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1099523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1099686Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1099689Z 2025-09-07T08:01:01.1099763Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1099847Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1099941Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1100128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1100192Z return mod(**inputs) 2025-09-07T08:01:01.1100393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1100470Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1100689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1100792Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1100992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1101064Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1101290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1101358Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1101566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1101641Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1101858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1102001Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1102225Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1102325Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1102517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1102690Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1102693Z 2025-09-07T08:01:01.1102767Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1102840Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1102943Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1103124Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1103193Z return mod(**inputs) 2025-09-07T08:01:01.1103394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1103471Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1103703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1103794Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1104001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1104072Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1104298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1104369Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1104572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1104655Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1104904Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1105051Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1105274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1105368Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1105646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1105750Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1105753Z 2025-09-07T08:01:01.1105836Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1105909Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1106005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1106198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1106267Z return mod(**inputs) 2025-09-07T08:01:01.1106478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1106549Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1106781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1106873Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1107074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1107156Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1107379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1107458Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1107663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1107745Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1107979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 247, in forward 2025-09-07T08:01:01.1108107Z hidden_states = attn_outputs + feed_forward_hidden_states + residual 2025-09-07T08:01:01.1108110Z 2025-09-07T08:01:01.1108191Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1108265Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1108362Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1108556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1108619Z return mod(**inputs) 2025-09-07T08:01:01.1108832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1108904Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1109142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1109231Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1109434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1109513Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1109737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1109811Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1110016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1110090Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1110319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1110469Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1110697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1110821Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1111080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1111169Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1111403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1111486Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1111488Z 2025-09-07T08:01:01.1111563Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1111666Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1111851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1111916Z return mod(**inputs) 2025-09-07T08:01:01.1112126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1112198Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1112430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1112522Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1112724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1112805Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1113028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1113103Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1113314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1113388Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1113617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1113707Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1113938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1114058Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1114320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1114401Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1114637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1114719Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1114722Z 2025-09-07T08:01:01.1114795Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1114874Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1114968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1115152Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1115222Z return mod(**inputs) 2025-09-07T08:01:01.1115423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1115501Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1115724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1115821Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1116087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1116160Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1116386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1116455Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1116664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1116737Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1116958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1117054Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1117272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1117404Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1117658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1117739Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1117977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1118047Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1118050Z 2025-09-07T08:01:01.1118131Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1118227Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1118416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1118479Z return mod(**inputs) 2025-09-07T08:01:01.1118680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1118765Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1118986Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1119082Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1119284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1119356Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1119585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1119653Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1119866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1119941Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1120166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1120266Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1120491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1120619Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1120874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1120961Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1121196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1121268Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1121270Z 2025-09-07T08:01:01.1121374Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1121613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1121684Z return mod(**inputs) 2025-09-07T08:01:01.1121883Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1121955Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1122185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1122275Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1122485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1122557Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1122784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1122853Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1123064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1123146Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1123366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1123463Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1123682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1123787Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1123798Z 2025-09-07T08:01:01.1123894Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1124074Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1124143Z return mod(**inputs) 2025-09-07T08:01:01.1124348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1124427Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1124650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1124741Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1124949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1125021Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1125250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1125320Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1125525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1125611Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1125838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1125935Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1126156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1126261Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1126271Z 2025-09-07T08:01:01.1126365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1126547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1126619Z return mod(**inputs) 2025-09-07T08:01:01.1126819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1126894Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1127171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1127263Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1127470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1127542Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1127772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1127838Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1128042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1128124Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1128348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1128450Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1128670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1128776Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1128779Z 2025-09-07T08:01:01.1128874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1129055Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1129126Z return mod(**inputs) 2025-09-07T08:01:01.1129329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1129402Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1129624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1129714Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1129927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1129997Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1130224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1130291Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1130493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1130576Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1130797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1130894Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1131116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1131223Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1131226Z 2025-09-07T08:01:01.1131302Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1131378Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1131458Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1131529Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1131608Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1131681Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1131775Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1131964Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1132027Z return mod(**inputs) 2025-09-07T08:01:01.1132239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1132311Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1132587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1132686Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1132890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1132971Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1133194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1133261Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1133471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1133547Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1133775Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1133871Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1134106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1134198Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1134468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1134605Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1134609Z 2025-09-07T08:01:01.1134683Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1134765Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1134860Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1135054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1135125Z return mod(**inputs) 2025-09-07T08:01:01.1135333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1135413Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1135636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1135727Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1135936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1136008Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1136242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1136310Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1136522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1136601Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1136823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1136965Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1137188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1137288Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1137482Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1137649Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1137659Z 2025-09-07T08:01:01.1137733Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1137807Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1137971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1138155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1138220Z return mod(**inputs) 2025-09-07T08:01:01.1138430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1138501Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1138733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1138823Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1139034Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1139104Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1139330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1139414Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1139618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1139702Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1139925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1140013Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1140243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1140332Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1140611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1140716Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1140722Z 2025-09-07T08:01:01.1140805Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1140879Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1140952Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1141031Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1141127Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1141319Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1141383Z return mod(**inputs) 2025-09-07T08:01:01.1141585Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1141663Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1141894Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1141989Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1142197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1142268Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1142502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1142572Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1142784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1142861Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1143081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1143179Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1143400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1143589Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1143847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1143936Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1144171Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1144243Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1144246Z 2025-09-07T08:01:01.1144327Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1144422Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1144612Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1144674Z return mod(**inputs) 2025-09-07T08:01:01.1144879Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1144962Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1145185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1145283Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1145484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1145555Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1145785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1145854Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1146070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1146147Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1146380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1146472Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1146695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1146824Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1147088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1147176Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1147412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1147484Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1147495Z 2025-09-07T08:01:01.1147569Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1147647Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1147752Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1147935Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1148008Z return mod(**inputs) 2025-09-07T08:01:01.1148209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1148282Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1148548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1148638Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1148846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1148917Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1149195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1149310Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1149517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1149596Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1149819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1149909Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1150141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1150265Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1150526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1150614Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1150856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1150929Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1150932Z 2025-09-07T08:01:01.1151009Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1151116Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1151301Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1151375Z return mod(**inputs) 2025-09-07T08:01:01.1151580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1151654Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1151887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1151982Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1152191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1152263Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1152485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1152562Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1152768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1152849Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1153072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1153168Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1153395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1153521Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1153784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1153865Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1154106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1154179Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1154182Z 2025-09-07T08:01:01.1154278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1154468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1154529Z return mod(**inputs) 2025-09-07T08:01:01.1154765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1154864Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1155092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1155184Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1155384Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1155462Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1155681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1155758Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1155959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1156035Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1156270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1156362Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1156587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1156693Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1156696Z 2025-09-07T08:01:01.1156797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1156978Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1157039Z return mod(**inputs) 2025-09-07T08:01:01.1157246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1157318Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1157547Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1157640Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1157842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1157921Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1158140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1158218Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1158420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1158495Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1158724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1158814Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1159045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1159153Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1159156Z 2025-09-07T08:01:01.1159257Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1159439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1159502Z return mod(**inputs) 2025-09-07T08:01:01.1159710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1159781Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1160009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1160098Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1160364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1160444Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1160664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1160741Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1160944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1161018Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1161246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1161337Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1161567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1161667Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1161670Z 2025-09-07T08:01:01.1161773Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1161953Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1162013Z return mod(**inputs) 2025-09-07T08:01:01.1162222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1162293Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1162521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1162608Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1162807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1162885Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1163108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1163183Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1163385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1163467Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1163691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1163779Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1164010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1164102Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1164105Z 2025-09-07T08:01:01.1164185Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1164263Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1164337Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1164416Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1164486Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1164564Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1164657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1164838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1164910Z return mod(**inputs) 2025-09-07T08:01:01.1165113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1165191Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1165412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1165502Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1165767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1165838Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1166064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1166134Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1166335Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1166416Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1166638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1166736Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1166954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1167059Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1167326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1167452Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1167455Z 2025-09-07T08:01:01.1167536Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1167607Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1167707Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1167887Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1167950Z return mod(**inputs) 2025-09-07T08:01:01.1168156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1168226Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1168455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1168545Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1168749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1168819Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1169040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1169115Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1169316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1169400Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1169620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1169756Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1169988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1170078Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1170276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1170444Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1170447Z 2025-09-07T08:01:01.1170529Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1170603Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1170696Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1170882Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1170945Z return mod(**inputs) 2025-09-07T08:01:01.1171211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1171286Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1171509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1171607Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1171806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1171884Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1172107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1172179Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1172392Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1172468Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1172699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1172790Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1173018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1173118Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1173389Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1173501Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1173504Z 2025-09-07T08:01:01.1173579Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1173659Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1173730Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1173806Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1173908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1174092Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1174158Z return mod(**inputs) 2025-09-07T08:01:01.1174362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1174433Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1174662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1174752Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1174960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1175030Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1175254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1175336Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1175540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1175623Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1175846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1175942Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1176162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1176287Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1176551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1176692Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1176933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1177006Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1177009Z 2025-09-07T08:01:01.1177085Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1177191Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1177371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1177440Z return mod(**inputs) 2025-09-07T08:01:01.1177646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1177717Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1177947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1178044Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1178256Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1178326Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1178554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1178621Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1178825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1178909Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1179132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1179229Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1179452Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1179577Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1179843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1179924Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1180163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1180236Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1180240Z 2025-09-07T08:01:01.1180321Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1180391Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1180485Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1180675Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1180745Z return mod(**inputs) 2025-09-07T08:01:01.1180952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1181024Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1181248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1181345Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1181546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1181621Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1181843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1181911Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1182162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1182263Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1182487Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1182577Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1182807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1182927Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1183182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1183274Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1183507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1183592Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1183595Z 2025-09-07T08:01:01.1183668Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1183763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1183958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1184020Z return mod(**inputs) 2025-09-07T08:01:01.1184229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1184303Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1184525Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1184625Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1184832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1184913Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1185139Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1185218Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1185421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1185494Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1185726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1185815Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1186043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1186167Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1186425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1186518Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1186750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1186827Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1186830Z 2025-09-07T08:01:01.1186927Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1187119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1187181Z return mod(**inputs) 2025-09-07T08:01:01.1187382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1187460Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1187682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1187832Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1188036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1188109Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1188342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1188410Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1188620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1188696Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1188919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1189016Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1189245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1189362Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1189366Z 2025-09-07T08:01:01.1189461Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1189653Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1189715Z return mod(**inputs) 2025-09-07T08:01:01.1189917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1189997Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1190221Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1190320Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1190527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1190602Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1190836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1190906Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1191118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1191195Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1191423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1191514Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1191736Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1191849Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1191856Z 2025-09-07T08:01:01.1191952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1192142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1192206Z return mod(**inputs) 2025-09-07T08:01:01.1192409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1192491Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1192714Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1192810Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1193012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1193082Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1193351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1193450Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1193659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1193734Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1193972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1194062Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1194282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1194384Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1194387Z 2025-09-07T08:01:01.1194481Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1194670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1194734Z return mod(**inputs) 2025-09-07T08:01:01.1194933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1195010Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1195235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1195331Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1195533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1195612Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1195836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1195904Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1196118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1196194Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1196423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1196513Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1196735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1196839Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1196842Z 2025-09-07T08:01:01.1196920Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1197003Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1197074Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1197145Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1197225Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1197301Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1197403Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1197585Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1197647Z return mod(**inputs) 2025-09-07T08:01:01.1197858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1197930Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1198159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1198250Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1198454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1198533Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1198788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1198900Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1199105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1199187Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1199410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1199499Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1199728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1199817Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1200095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1200227Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1200230Z 2025-09-07T08:01:01.1200305Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1200386Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1200482Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1200671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1200735Z return mod(**inputs) 2025-09-07T08:01:01.1200935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1201016Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1201233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1201330Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1201533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1201612Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1201831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1201899Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1202107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1202183Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1202411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1202546Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1202766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1202868Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1203062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1203235Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1203239Z 2025-09-07T08:01:01.1203315Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1203395Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1203490Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1203671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1203741Z return mod(**inputs) 2025-09-07T08:01:01.1203941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1204019Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1204263Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1204381Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1204587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1204659Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1204887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1204957Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1205161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1205244Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1205465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1205561Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1205787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1205885Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1206153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1206255Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1206258Z 2025-09-07T08:01:01.1206339Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1206409Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1206487Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1206558Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1206652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1206839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1206907Z return mod(**inputs) 2025-09-07T08:01:01.1207111Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1207181Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1207400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1207498Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1207697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1207776Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1207996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1208074Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1208277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1208356Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1208581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1208669Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1208895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1209019Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1209274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1209363Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1209593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1209732Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1209736Z 2025-09-07T08:01:01.1209810Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1209906Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1210097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1210158Z return mod(**inputs) 2025-09-07T08:01:01.1210366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1210438Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1210669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1210759Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1210961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1211046Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1211267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1211345Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1211552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1211627Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1211857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1211945Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1212173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1212297Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1212564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1212649Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1212881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1212962Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1212965Z 2025-09-07T08:01:01.1213040Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1213126Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1213220Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1213402Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1213472Z return mod(**inputs) 2025-09-07T08:01:01.1213671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1213751Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1213978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1214069Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1214275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1214346Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1214579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1214648Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1214856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1214931Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1215154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1215306Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1215533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1215661Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1215917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1215998Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1216241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1216313Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1216316Z 2025-09-07T08:01:01.1216397Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1216492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1216681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1216751Z return mod(**inputs) 2025-09-07T08:01:01.1216951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1217029Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1217250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1217347Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1217550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1217619Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1217847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1217915Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1218137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1218212Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1218434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1218531Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1218749Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1218877Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1219130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1219216Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1219453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1219524Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1219527Z 2025-09-07T08:01:01.1219628Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1219810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1219880Z return mod(**inputs) 2025-09-07T08:01:01.1220080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1220152Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1220381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1220472Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1220683Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1220816Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1221038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1221113Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1221315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1221398Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1221618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1221714Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1221936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1222043Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1222049Z 2025-09-07T08:01:01.1222155Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1222338Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1222407Z return mod(**inputs) 2025-09-07T08:01:01.1222608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1222679Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1222911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1223001Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1223211Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1223282Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1223514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1223590Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1223794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1223877Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1224098Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1224196Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1224418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1224522Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1224525Z 2025-09-07T08:01:01.1224627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1224810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1224884Z return mod(**inputs) 2025-09-07T08:01:01.1225086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1225157Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1225387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1225475Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1225684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1225754Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1225982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1226051Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1226286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1226399Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1226618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1226714Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1226932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1227025Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1227029Z 2025-09-07T08:01:01.1227129Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1227310Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1227377Z return mod(**inputs) 2025-09-07T08:01:01.1227577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1227661Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1227881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1227970Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1228174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1228245Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1228469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1228538Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1228740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1228823Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1229044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1229146Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1229365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1229460Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1229470Z 2025-09-07T08:01:01.1229545Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1229618Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1229700Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1229770Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1229841Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1229918Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1230014Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1230201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1230268Z return mod(**inputs) 2025-09-07T08:01:01.1230467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1230545Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1230763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1230861Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1231065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1231142Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1231361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1231430Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1231675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1231779Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1232007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1232097Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1232322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1232423Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1232696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1232830Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1232833Z 2025-09-07T08:01:01.1232904Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1232982Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1233082Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1233263Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1233334Z return mod(**inputs) 2025-09-07T08:01:01.1233535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1233615Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1233834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1233924Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1234132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1234203Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1234436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1234509Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1234709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1234793Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1235012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1235156Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1235378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1235476Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1235673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1235844Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1235849Z 2025-09-07T08:01:01.1235931Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1236004Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1236107Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1236291Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1236355Z return mod(**inputs) 2025-09-07T08:01:01.1236566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1236638Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1236869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1236958Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1237190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1237301Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1237522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1237597Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1237802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1237883Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1238106Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1238194Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1238424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1238516Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1238797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1238901Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1238904Z 2025-09-07T08:01:01.1238976Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1239056Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1239151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1239341Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1239403Z return mod(**inputs) 2025-09-07T08:01:01.1239608Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1239687Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1239909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1240012Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1240217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1240294Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1240516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1240587Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1240799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1240875Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1241104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 247, in forward 2025-09-07T08:01:01.1241232Z hidden_states = attn_outputs + feed_forward_hidden_states + residual 2025-09-07T08:01:01.1241238Z 2025-09-07T08:01:01.1241314Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1241397Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1241492Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1241682Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1241743Z return mod(**inputs) 2025-09-07T08:01:01.1241946Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1242023Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1242247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1242347Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1242549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1242693Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1242917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1242986Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1243197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1243270Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1243496Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1243586Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1243806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1243942Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1244201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1244293Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1244526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1244605Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1244608Z 2025-09-07T08:01:01.1244682Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1244778Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1244968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1245032Z return mod(**inputs) 2025-09-07T08:01:01.1245241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1245314Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1245540Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1245638Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1245841Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1245919Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1246140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1246210Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1246420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1246494Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1246722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1246817Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1247045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1247168Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1247423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1247513Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1247747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1247824Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1247827Z 2025-09-07T08:01:01.1247902Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1247973Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1248076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1248317Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1248390Z return mod(**inputs) 2025-09-07T08:01:01.1248619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1248691Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1248920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1249013Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1249223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1249295Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1249527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1249596Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1249806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1249892Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1250116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1250217Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1250438Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1250560Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1250825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1250908Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1251150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1251225Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1251227Z 2025-09-07T08:01:01.1251309Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1251406Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1251591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1251663Z return mod(**inputs) 2025-09-07T08:01:01.1251865Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1251943Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1252165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1252255Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1252468Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1252542Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1252769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1252837Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1253042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1253122Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1253342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1253439Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1253660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1253828Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1254117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1254197Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1254437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1254508Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1254511Z 2025-09-07T08:01:01.1254615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1254797Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1254859Z return mod(**inputs) 2025-09-07T08:01:01.1255075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1255146Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1255383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1255475Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1255679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1255761Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1255983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1256060Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1256264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1256348Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1256570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1256666Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1256898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1257004Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1257007Z 2025-09-07T08:01:01.1257110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1257293Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1257354Z return mod(**inputs) 2025-09-07T08:01:01.1257565Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1257637Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1257869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1257959Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1258174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1258245Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1258464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1258541Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1258744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1258824Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1259045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1259136Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1259395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1259528Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1259531Z 2025-09-07T08:01:01.1259633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1259815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1259884Z return mod(**inputs) 2025-09-07T08:01:01.1260084Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1260155Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1260382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1260470Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1260677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1260755Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1260972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1261050Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1261252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1261334Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1261553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1261643Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1261868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1261962Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1261964Z 2025-09-07T08:01:01.1262072Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1262254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1262326Z return mod(**inputs) 2025-09-07T08:01:01.1262534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1262605Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1262833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1262923Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1263129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1263200Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1263424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1263511Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1263716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1263797Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1264016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1264106Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1264333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1264427Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1264430Z 2025-09-07T08:01:01.1264513Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1264588Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1264671Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1264783Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1264881Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1264960Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1265054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1265246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1265309Z return mod(**inputs) 2025-09-07T08:01:01.1265509Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1265590Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1265810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1265906Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1266107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1266184Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1266411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1266480Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1266690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1266762Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1266982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1267080Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1267303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1267402Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1267690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1267826Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1267829Z 2025-09-07T08:01:01.1267904Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1267977Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1268080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1268262Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1268333Z return mod(**inputs) 2025-09-07T08:01:01.1268533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1268604Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1268835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1268929Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1269137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1269209Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1269431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1269509Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1269713Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1269794Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1270016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1270157Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1270408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1270529Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1270734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1270897Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1270901Z 2025-09-07T08:01:01.1270979Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1271051Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1271145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1271334Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1271395Z return mod(**inputs) 2025-09-07T08:01:01.1271602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1271677Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1271902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1271991Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1272193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1272272Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1272492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1272569Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1272772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1272846Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1273078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1273171Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1273396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1273488Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1273753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1273864Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1273867Z 2025-09-07T08:01:01.1273940Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1274021Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1274093Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1274168Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1274262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1274450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1274521Z return mod(**inputs) 2025-09-07T08:01:01.1274721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1274798Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1275019Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1275109Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1275315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1275387Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1275613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1275711Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1275950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1276036Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1276259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1276358Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1276579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1276704Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1276969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1277053Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1277295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1277370Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1277373Z 2025-09-07T08:01:01.1277455Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1277550Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1277733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1277803Z return mod(**inputs) 2025-09-07T08:01:01.1278005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1278081Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1278298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1278386Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1278597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1278670Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1278892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1278961Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1279172Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1279248Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1279470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1279567Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1279791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1279924Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1280180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1280262Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1280497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1280568Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1280571Z 2025-09-07T08:01:01.1280653Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1280724Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1280819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1281009Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1281073Z return mod(**inputs) 2025-09-07T08:01:01.1281331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1281439Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1281666Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1281759Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1281960Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1282038Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1282278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1282353Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1282559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1282636Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1282876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1282967Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1283200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1283325Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1283592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1283673Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1283908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1283989Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1283992Z 2025-09-07T08:01:01.1284068Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1284175Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1284359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1284424Z return mod(**inputs) 2025-09-07T08:01:01.1284636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1284708Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1284942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1285034Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1285240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1285321Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1285549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1285630Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1285836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1285918Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1286147Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1286238Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1286472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1286596Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1286864Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1287003Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1287246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1287327Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1287330Z 2025-09-07T08:01:01.1287427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1287622Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1287685Z return mod(**inputs) 2025-09-07T08:01:01.1287892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1287975Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1288200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1288300Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1288513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1288591Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1288818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1288888Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1289105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1289180Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1289419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1289513Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1289743Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1289866Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1289870Z 2025-09-07T08:01:01.1289969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1290166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1290229Z return mod(**inputs) 2025-09-07T08:01:01.1290446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1290520Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1290750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1290850Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1291059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1291138Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1291371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1291442Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1291656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1291732Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1291966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1292058Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1292286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1292400Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1292403Z 2025-09-07T08:01:01.1292502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1292755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1292819Z return mod(**inputs) 2025-09-07T08:01:01.1293028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1293103Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1293329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1293428Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1293633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1293716Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1293940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1294014Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1294232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1294306Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1294538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1294629Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1294859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1294957Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1294960Z 2025-09-07T08:01:01.1295058Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1295249Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1295314Z return mod(**inputs) 2025-09-07T08:01:01.1295533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1295606Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1295828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1295928Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1296131Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1296208Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1296430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1296500Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1296711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1296792Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1297021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1297111Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1297341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1297437Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1297439Z 2025-09-07T08:01:01.1297517Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1297603Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1297676Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1297755Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1297828Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1297901Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1298005Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1298245Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1298315Z return mod(**inputs) 2025-09-07T08:01:01.1298522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1298596Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1298830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1298922Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1299136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1299208Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1299433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1299516Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1299725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1299809Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1300039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1300139Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1300366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1300462Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1300747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1300875Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1300881Z 2025-09-07T08:01:01.1300967Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1301042Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1301140Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1301335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1301402Z return mod(**inputs) 2025-09-07T08:01:01.1301615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1301687Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1301915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1302015Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1302224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1302305Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1302537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1302617Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1302825Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1302903Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1303137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1303276Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1303510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1303604Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1303830Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1304046Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1304049Z 2025-09-07T08:01:01.1304126Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1304206Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1304304Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1304501Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1304565Z return mod(**inputs) 2025-09-07T08:01:01.1304771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1304852Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1305082Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1305187Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1305396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1305467Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1305701Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1305773Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1305985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1306059Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1306284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1306383Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1306610Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1306716Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1306991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1307106Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1307109Z 2025-09-07T08:01:01.1307184Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1307260Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1307337Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1307409Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1307514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1307703Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1307768Z return mod(**inputs) 2025-09-07T08:01:01.1307984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1308059Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1308291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1308383Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1308588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1308668Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1308895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1308972Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1309178Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1309254Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1309542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1309636Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1309870Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1309999Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1310267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1310350Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1310586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1310665Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1310668Z 2025-09-07T08:01:01.1310741Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1310849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1311037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1311101Z return mod(**inputs) 2025-09-07T08:01:01.1311316Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1311388Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1311621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1311713Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1311924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1311996Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1312229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1312307Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1312512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1312594Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1312821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1312913Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1313146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1313272Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1313541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1313629Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1313867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1313948Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1313951Z 2025-09-07T08:01:01.1314026Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1314106Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1314205Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1314400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1314463Z return mod(**inputs) 2025-09-07T08:01:01.1314668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1314751Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1315500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1315632Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1315839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1315913Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1316153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1316224Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1316442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1316522Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1316755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1316856Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1317091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1317227Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1317491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1317582Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1317824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1317899Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1317903Z 2025-09-07T08:01:01.1317988Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1318084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1318283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1318351Z return mod(**inputs) 2025-09-07T08:01:01.1318561Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1318645Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1318877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1318977Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1319185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1319255Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1319493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1319562Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1319780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1319861Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1320100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1320190Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1320419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1320550Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1320807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1320898Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1321137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1321255Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1321292Z 2025-09-07T08:01:01.1321391Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1321581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1321656Z return mod(**inputs) 2025-09-07T08:01:01.1321871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1321955Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1322195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1322295Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1322521Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1322599Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1322847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1322923Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1323140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1323226Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1323464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1323566Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1323805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1323922Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1323926Z 2025-09-07T08:01:01.1324025Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1324221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1324302Z return mod(**inputs) 2025-09-07T08:01:01.1324516Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1324598Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1324835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1324930Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1325153Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1325230Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1325473Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1325545Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1325768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1325858Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1326097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1326200Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1326437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1326555Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1326558Z 2025-09-07T08:01:01.1326658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1326853Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1326928Z return mod(**inputs) 2025-09-07T08:01:01.1327179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1327287Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1327514Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1327605Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1327819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1327893Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1328129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1328199Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1328414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1328490Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1328721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1328820Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1329047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1329153Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1329156Z 2025-09-07T08:01:01.1329254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1329442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1329513Z return mod(**inputs) 2025-09-07T08:01:01.1329718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1329797Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1330028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1330123Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1330339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1330410Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1330645Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1330718Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1330934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1331012Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1331237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1331337Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1331568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1331671Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1331674Z 2025-09-07T08:01:01.1331752Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1331827Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1331909Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1331983Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1332065Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1332138Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1332235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1332428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1332490Z return mod(**inputs) 2025-09-07T08:01:01.1332728Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1332829Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1333058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1333156Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1333363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1333442Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1333668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1333744Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1333951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1334027Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1334265Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1334358Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1334594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1334689Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1334969Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1335104Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1335107Z 2025-09-07T08:01:01.1335183Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1335266Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1335364Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1335558Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1335628Z return mod(**inputs) 2025-09-07T08:01:01.1335833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1335912Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1336140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1336237Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1336443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1336516Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1336751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1336820Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1337039Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1337115Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1337343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1337489Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1337717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1337815Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1338013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1338192Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1338195Z 2025-09-07T08:01:01.1338328Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1338404Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1338507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1338693Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1338764Z return mod(**inputs) 2025-09-07T08:01:01.1338971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1339042Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1339278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1339368Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1339584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1339655Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1339888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1339968Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1340176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1340258Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1340488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1340587Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1340817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1340913Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1341200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1341310Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1341313Z 2025-09-07T08:01:01.1341395Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1341471Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1341543Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1341624Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1341722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1341917Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1341981Z return mod(**inputs) 2025-09-07T08:01:01.1342189Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1342271Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1342502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1342605Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1342812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1342883Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1343121Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1343190Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1343409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1343486Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1343722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1343814Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1344095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1344232Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1344494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1344584Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1344824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1344898Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1344909Z 2025-09-07T08:01:01.1344983Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1345080Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1345273Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1345340Z return mod(**inputs) 2025-09-07T08:01:01.1345556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1345628Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1345857Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1345960Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1346166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1346248Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1346476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1346544Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1346758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1346839Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1347074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1347166Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1347393Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1347526Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1347786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1347877Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1348112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1348195Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1348201Z 2025-09-07T08:01:01.1348277Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1348351Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1348494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1348685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1348756Z return mod(**inputs) 2025-09-07T08:01:01.1348965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1349036Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1349272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1349366Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1349580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1349748Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1349978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1350058Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1350272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1350358Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1350589Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1350691Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1350922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1351048Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1351324Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1351405Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1351653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1351726Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1351729Z 2025-09-07T08:01:01.1351807Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1351911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1352102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1352173Z return mod(**inputs) 2025-09-07T08:01:01.1352377Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1352450Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1352687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1352779Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1352995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1353065Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1353299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1353368Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1353577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1353661Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1353890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1354006Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1354228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1354348Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1354611Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1354691Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1354932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1355004Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1355007Z 2025-09-07T08:01:01.1355109Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1355300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1355420Z return mod(**inputs) 2025-09-07T08:01:01.1355630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1355701Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1355933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1356025Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1356230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1356311Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1356533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1356611Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1356819Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1356898Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1357130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1357220Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1357453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1357561Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1357564Z 2025-09-07T08:01:01.1357667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1357851Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1357913Z return mod(**inputs) 2025-09-07T08:01:01.1358123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1358202Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1358432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1358522Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1358725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1358803Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1359026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1359103Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1359308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1359389Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1359614Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1359704Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1359934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1360037Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1360040Z 2025-09-07T08:01:01.1360142Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1360331Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1360395Z return mod(**inputs) 2025-09-07T08:01:01.1360607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1360679Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1360936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1361050Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1361260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1361331Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1361549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1361624Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1361824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1361905Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1362122Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1362213Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1362446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1362540Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1362543Z 2025-09-07T08:01:01.1362644Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1362821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1362882Z return mod(**inputs) 2025-09-07T08:01:01.1363086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1363158Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1363383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1363472Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1363679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1363751Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1363967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1364043Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1364244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1364325Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1364542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1364630Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1364856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1364949Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1364957Z 2025-09-07T08:01:01.1365041Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1365114Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1365187Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1365265Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1365334Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1365408Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1365502Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1365681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1365751Z return mod(**inputs) 2025-09-07T08:01:01.1365951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1366026Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1366270Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1366416Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1366615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1366686Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1366911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1366979Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1367188Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1367263Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1367480Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1367574Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1367798Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1367897Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1368166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1368292Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1368302Z 2025-09-07T08:01:01.1368374Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1368447Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1368549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1368730Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1368801Z return mod(**inputs) 2025-09-07T08:01:01.1369001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1369075Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1369302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1369391Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1369599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1369670Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1369889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1369966Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1370165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1370249Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1370472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1370606Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1370832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1370922Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1371120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1371288Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1371291Z 2025-09-07T08:01:01.1371371Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1371443Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1371538Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1371783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1371848Z return mod(**inputs) 2025-09-07T08:01:01.1372056Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1372126Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1372345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1372443Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1372644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1372722Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1372942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1373020Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1373227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1373302Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1373529Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1373620Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1373846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1373939Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1374207Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1374321Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1374324Z 2025-09-07T08:01:01.1374396Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1374479Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1374575Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1374757Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1374827Z return mod(**inputs) 2025-09-07T08:01:01.1375028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1375104Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1375322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1375419Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1375620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1375691Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1375925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1375994Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1376200Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1376273Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1376498Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 247, in forward 2025-09-07T08:01:01.1376632Z hidden_states = attn_outputs + feed_forward_hidden_states + residual 2025-09-07T08:01:01.1376635Z 2025-09-07T08:01:01.1376708Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1376785Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1376880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1377063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1377194Z return mod(**inputs) 2025-09-07T08:01:01.1377396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1377472Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1377699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1377788Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1377997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1378068Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1378299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1378368Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1378578Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1378656Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1378875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1378975Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1379196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1379327Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1379586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1379668Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1379912Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1379990Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1379993Z 2025-09-07T08:01:01.1380073Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1380169Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1380363Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1380427Z return mod(**inputs) 2025-09-07T08:01:01.1380629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1380707Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1380931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1381028Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1381230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1381302Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1381534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1381604Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1381818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1381892Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1382112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1382210Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1382431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1382563Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1382849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 62, in apply_rotary_pos_emb 2025-09-07T08:01:01.1382964Z q_embed = (q * cos) + (rotate_half(q) * sin) 2025-09-07T08:01:01.1383199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1383270Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1383273Z 2025-09-07T08:01:01.1383354Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1383427Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1383532Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1383713Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1383774Z return mod(**inputs) 2025-09-07T08:01:01.1383984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1384054Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1384290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1384379Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1384581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1384660Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1384880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1384958Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1385162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1385244Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1385465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1385560Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1385791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1385912Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1386175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1386257Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1386489Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1386567Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1386570Z 2025-09-07T08:01:01.1386645Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1386746Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1386934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1387003Z return mod(**inputs) 2025-09-07T08:01:01.1387206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1387276Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1387505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1387595Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1387806Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1387875Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1388099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1388179Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1388447Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1388531Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1388752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1388842Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1389072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 162, in forward 2025-09-07T08:01:01.1389196Z query_rot, key_rot = apply_rotary_pos_emb(query_rot, key_rot, cos, sin) 2025-09-07T08:01:01.1389461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 63, in apply_rotary_pos_emb 2025-09-07T08:01:01.1389541Z k_embed = (k * cos) + (rotate_half(k) * sin) 2025-09-07T08:01:01.1389780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 37, in rotate_half 2025-09-07T08:01:01.1389853Z return torch.cat((-x2, x1), dim=-1) 2025-09-07T08:01:01.1389856Z 2025-09-07T08:01:01.1389953Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1390142Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1390205Z return mod(**inputs) 2025-09-07T08:01:01.1390412Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1390486Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1390707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1390803Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1391006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1391089Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1391308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1391387Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1391588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1391663Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1391891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1391979Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1392206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1392313Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1392316Z 2025-09-07T08:01:01.1392414Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1392606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1392669Z return mod(**inputs) 2025-09-07T08:01:01.1392874Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1392944Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1393162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1393258Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1393456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1393535Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1393754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1393887Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1394092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1394167Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1394398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1394489Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1394718Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 165, in forward 2025-09-07T08:01:01.1394824Z query_states = torch.cat((query_rot, query_pass), dim=-1) 2025-09-07T08:01:01.1394827Z 2025-09-07T08:01:01.1394920Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1395112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1395183Z return mod(**inputs) 2025-09-07T08:01:01.1395391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1395463Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1395690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1395782Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1395984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1396065Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1396285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1396360Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1396568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1396646Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1396872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1396964Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1397191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1397288Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1397291Z 2025-09-07T08:01:01.1397390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1397573Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1397636Z return mod(**inputs) 2025-09-07T08:01:01.1397844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1397923Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1398151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1398242Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1398442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1398519Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1398739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1398815Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1399017Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1399092Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1399352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1399469Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1399698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 166, in forward 2025-09-07T08:01:01.1399792Z key_states = torch.cat((key_rot, key_pass), dim=-1) 2025-09-07T08:01:01.1399795Z 2025-09-07T08:01:01.1399878Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1399952Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1400026Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1400105Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1400178Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1400256Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1400353Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1400532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1400609Z return mod(**inputs) 2025-09-07T08:01:01.1400808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1400885Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1401107Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1401201Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1401411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1401483Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1401710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1401780Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1401985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1402068Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1402289Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1402384Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1402601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1402694Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1402966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 81, in sdpa_attention_forward 2025-09-07T08:01:01.1403090Z attn_output = torch.nn.functional.scaled_dot_product_attention( 2025-09-07T08:01:01.1403093Z 2025-09-07T08:01:01.1403176Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1403250Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1403357Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1403537Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1403597Z return mod(**inputs) 2025-09-07T08:01:01.1403803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1403873Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1404099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1404189Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1404388Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1404465Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1404712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1404813Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1405015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1405091Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1405321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 246, in forward 2025-09-07T08:01:01.1405457Z feed_forward_hidden_states = self.resid_dropout(self.mlp(hidden_states)) 2025-09-07T08:01:01.1405688Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 203, in forward 2025-09-07T08:01:01.1405777Z hidden_states = self.activation_fn(hidden_states) 2025-09-07T08:01:01.1405981Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/activations.py", line 47, in forward 2025-09-07T08:01:01.1406149Z return 0.5 * input * (1.0 + torch.tanh(math.sqrt(2.0 / math.pi) * (input + 0.044715 * torch.pow(input, 3.0)))) 2025-09-07T08:01:01.1406155Z 2025-09-07T08:01:01.1406230Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1406313Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1406407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:01.1406597Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 480, in forward_pass 2025-09-07T08:01:01.1406660Z return mod(**inputs) 2025-09-07T08:01:01.1406861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:01:01.1406939Z output = func(self, *args, **kwargs) 2025-09-07T08:01:01.1407161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:01:01.1407260Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:01:01.1407465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:01:01.1407546Z outputs = func(self, *args, **kwargs) 2025-09-07T08:01:01.1407767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 396, in forward 2025-09-07T08:01:01.1407839Z layer_outputs = decoder_layer( 2025-09-07T08:01:01.1408052Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/modeling_layers.py", line 94, in __call__ 2025-09-07T08:01:01.1408128Z return super().__call__(*args, **kwargs) 2025-09-07T08:01:01.1408357Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 233, in forward 2025-09-07T08:01:01.1408448Z attn_outputs, self_attn_weights = self.self_attn( 2025-09-07T08:01:01.1408667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 177, in forward 2025-09-07T08:01:01.1408768Z attn_output, attn_weights = attention_interface( 2025-09-07T08:01:01.1409044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/integrations/sdpa_attention.py", line 91, in sdpa_attention_forward 2025-09-07T08:01:01.1409157Z attn_output = attn_output.transpose(1, 2).contiguous() 2025-09-07T08:01:01.1409160Z 2025-09-07T08:01:01.1409236Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1409315Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1409387Z cudagraph partition due to non gpu ops 2025-09-07T08:01:01.1409459Z cudagraph partition due to non gpu ops 2025-09-07T08:01:29.1897386Z pass 2025-09-07T08:01:29.1897809Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:31.6030408Z /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. 2025-09-07T08:01:31.6032318Z import pynvml # type: ignore[import] 2025-09-07T08:01:33.3153195Z 2025-09-07T08:01:34.7893070Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:01:34.7901545Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:01:34.7903814Z cpu eval nvidia_deeprecommender 2025-09-07T08:01:34.9181688Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:34.9732398Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:35.0252711Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:37.3217911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3218348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3218675Z return mod(*inputs) 2025-09-07T08:01:37.3219056Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3219446Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3219808Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 132, in encode 2025-09-07T08:01:37.3220209Z input=F.linear(input=x, weight=w, bias=self.encode_b[ind]), 2025-09-07T08:01:37.3220378Z 2025-09-07T08:01:37.3220491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3220828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3221137Z return mod(*inputs) 2025-09-07T08:01:37.3221463Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3221820Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3222172Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 132, in encode 2025-09-07T08:01:37.3222565Z input=F.linear(input=x, weight=w, bias=self.encode_b[ind]), 2025-09-07T08:01:37.3222733Z 2025-09-07T08:01:37.3222830Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3223164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3223472Z return mod(*inputs) 2025-09-07T08:01:37.3223845Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3224199Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3224546Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 132, in encode 2025-09-07T08:01:37.3224922Z input=F.linear(input=x, weight=w, bias=self.encode_b[ind]), 2025-09-07T08:01:37.3225088Z 2025-09-07T08:01:37.3225184Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3225520Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3225824Z return mod(*inputs) 2025-09-07T08:01:37.3226138Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3226489Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3226833Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 131, in encode 2025-09-07T08:01:37.3227168Z x = activation( 2025-09-07T08:01:37.3227494Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 12, in activation 2025-09-07T08:01:37.3227836Z return F.selu(input) 2025-09-07T08:01:37.3227948Z 2025-09-07T08:01:37.3228048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3228382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3228682Z return mod(*inputs) 2025-09-07T08:01:37.3229465Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3229821Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3230168Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 132, in encode 2025-09-07T08:01:37.3230556Z input=F.linear(input=x, weight=w, bias=self.encode_b[ind]), 2025-09-07T08:01:37.3230716Z 2025-09-07T08:01:37.3230820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3231145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3231446Z return mod(*inputs) 2025-09-07T08:01:37.3231765Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3232114Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3232464Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 132, in encode 2025-09-07T08:01:37.3232841Z input=F.linear(input=x, weight=w, bias=self.encode_b[ind]), 2025-09-07T08:01:37.3233007Z 2025-09-07T08:01:37.3233106Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3233442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3233740Z return mod(*inputs) 2025-09-07T08:01:37.3234052Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3234400Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3234745Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 131, in encode 2025-09-07T08:01:37.3235079Z x = activation( 2025-09-07T08:01:37.3235401Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 12, in activation 2025-09-07T08:01:37.3235749Z return F.selu(input) 2025-09-07T08:01:37.3235864Z 2025-09-07T08:01:37.3235963Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3236296Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3236595Z return mod(*inputs) 2025-09-07T08:01:37.3236904Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3237254Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3237598Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 132, in encode 2025-09-07T08:01:37.3237978Z input=F.linear(input=x, weight=w, bias=self.encode_b[ind]), 2025-09-07T08:01:37.3238134Z 2025-09-07T08:01:37.3238235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3238557Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3238856Z return mod(*inputs) 2025-09-07T08:01:37.3239174Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3239523Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3239866Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 132, in encode 2025-09-07T08:01:37.3240240Z input=F.linear(input=x, weight=w, bias=self.encode_b[ind]), 2025-09-07T08:01:37.3240402Z 2025-09-07T08:01:37.3240499Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3240826Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3241125Z return mod(*inputs) 2025-09-07T08:01:37.3241438Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3241787Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3242204Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 131, in encode 2025-09-07T08:01:37.3242546Z x = activation( 2025-09-07T08:01:37.3242873Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 12, in activation 2025-09-07T08:01:37.3243222Z return F.selu(input) 2025-09-07T08:01:37.3243336Z 2025-09-07T08:01:37.3243433Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3243771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3244077Z return mod(*inputs) 2025-09-07T08:01:37.3244394Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3244753Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3245105Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 160, in decode 2025-09-07T08:01:37.3245501Z input=F.linear(input=z, weight=w, bias=self.decode_b[ind]), 2025-09-07T08:01:37.3245660Z 2025-09-07T08:01:37.3245769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3246097Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3246404Z return mod(*inputs) 2025-09-07T08:01:37.3246726Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3247081Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3247429Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 160, in decode 2025-09-07T08:01:37.3247806Z input=F.linear(input=z, weight=w, bias=self.decode_b[ind]), 2025-09-07T08:01:37.3247972Z 2025-09-07T08:01:37.3248070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3248412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3248803Z return mod(*inputs) 2025-09-07T08:01:37.3249114Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3249468Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3249813Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 159, in decode 2025-09-07T08:01:37.3250149Z z = activation( 2025-09-07T08:01:37.3250471Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 12, in activation 2025-09-07T08:01:37.3250811Z return F.selu(input) 2025-09-07T08:01:37.3250919Z 2025-09-07T08:01:37.3251016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3251348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3251651Z return mod(*inputs) 2025-09-07T08:01:37.3251971Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3252320Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3252664Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 160, in decode 2025-09-07T08:01:37.3253047Z input=F.linear(input=z, weight=w, bias=self.decode_b[ind]), 2025-09-07T08:01:37.3253203Z 2025-09-07T08:01:37.3253307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3253628Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3253921Z return mod(*inputs) 2025-09-07T08:01:37.3254237Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3254583Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3254980Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 160, in decode 2025-09-07T08:01:37.3255422Z input=F.linear(input=z, weight=w, bias=self.decode_b[ind]), 2025-09-07T08:01:37.3255584Z 2025-09-07T08:01:37.3255681Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3256013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3256310Z return mod(*inputs) 2025-09-07T08:01:37.3256620Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3256968Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3257306Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 159, in decode 2025-09-07T08:01:37.3257643Z z = activation( 2025-09-07T08:01:37.3257964Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 12, in activation 2025-09-07T08:01:37.3258300Z return F.selu(input) 2025-09-07T08:01:37.3258414Z 2025-09-07T08:01:37.3258511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3258841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3259138Z return mod(*inputs) 2025-09-07T08:01:37.3259444Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3259792Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3260137Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 160, in decode 2025-09-07T08:01:37.3260520Z input=F.linear(input=z, weight=w, bias=self.decode_b[ind]), 2025-09-07T08:01:37.3260676Z 2025-09-07T08:01:37.3260782Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3261107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3261408Z return mod(*inputs) 2025-09-07T08:01:37.3261731Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3262085Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3262423Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 160, in decode 2025-09-07T08:01:37.3262803Z input=F.linear(input=z, weight=w, bias=self.decode_b[ind]), 2025-09-07T08:01:37.3262966Z 2025-09-07T08:01:37.3263065Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:37.3263395Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:37.3263696Z return mod(*inputs) 2025-09-07T08:01:37.3264006Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 173, in forward 2025-09-07T08:01:37.3264355Z return self.decode(self.encode(x)) 2025-09-07T08:01:37.3264700Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 159, in decode 2025-09-07T08:01:37.3265040Z z = activation( 2025-09-07T08:01:37.3265357Z File "/torchbench/torchbenchmark/models/nvidia_deeprecommender/reco_encoder/model/model.py", line 12, in activation 2025-09-07T08:01:37.3265698Z return F.selu(input) 2025-09-07T08:01:37.3265807Z 2025-09-07T08:01:46.8319969Z pass 2025-09-07T08:01:46.8320445Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:48.3612153Z /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. 2025-09-07T08:01:48.3613604Z import pynvml # type: ignore[import] 2025-09-07T08:01:50.0779338Z 2025-09-07T08:01:50.5144228Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:01:50.5145256Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:01:50.5145588Z cpu eval opacus_cifar10 2025-09-07T08:01:50.5401580Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:50.5630650Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:50.5777213Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:01:56.9756532Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9756956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9757300Z return mod(*inputs) 2025-09-07T08:01:56.9757676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9758062Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9758464Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9758806Z return self._forward_impl(x) 2025-09-07T08:01:56.9759140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-09-07T08:01:56.9759482Z x = self.conv1(x) 2025-09-07T08:01:56.9759592Z 2025-09-07T08:01:56.9759694Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9760045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9760348Z return mod(*inputs) 2025-09-07T08:01:56.9760680Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9761036Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9761371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9761706Z return self._forward_impl(x) 2025-09-07T08:01:56.9762036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-09-07T08:01:56.9762370Z x = self.conv1(x) 2025-09-07T08:01:56.9762473Z 2025-09-07T08:01:56.9762571Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9762908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9763341Z return mod(*inputs) 2025-09-07T08:01:56.9763662Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9764016Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9764346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9764672Z return self._forward_impl(x) 2025-09-07T08:01:56.9764998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-09-07T08:01:56.9765338Z x = self.conv1(x) 2025-09-07T08:01:56.9765440Z 2025-09-07T08:01:56.9765537Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9765878Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9766180Z return mod(*inputs) 2025-09-07T08:01:56.9766493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9766842Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9767168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9767493Z return self._forward_impl(x) 2025-09-07T08:01:56.9767816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-09-07T08:01:56.9768503Z x = self.relu(x) 2025-09-07T08:01:56.9768693Z 2025-09-07T08:01:56.9768794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9769131Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9769436Z return mod(*inputs) 2025-09-07T08:01:56.9769753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9770107Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9770433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9770759Z return self._forward_impl(x) 2025-09-07T08:01:56.9771079Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl 2025-09-07T08:01:56.9771415Z x = self.maxpool(x) 2025-09-07T08:01:56.9771520Z 2025-09-07T08:01:56.9771617Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9771970Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9772273Z return mod(*inputs) 2025-09-07T08:01:56.9772583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9772936Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9773264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9773585Z return self._forward_impl(x) 2025-09-07T08:01:56.9773905Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:01:56.9774238Z x = self.layer1(x) 2025-09-07T08:01:56.9774542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9774857Z out = self.conv1(x) 2025-09-07T08:01:56.9774959Z 2025-09-07T08:01:56.9775068Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9775397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9775695Z return mod(*inputs) 2025-09-07T08:01:56.9776012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9776365Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9776694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9777011Z return self._forward_impl(x) 2025-09-07T08:01:56.9777340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:01:56.9777668Z x = self.layer1(x) 2025-09-07T08:01:56.9777967Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9778280Z out = self.conv1(x) 2025-09-07T08:01:56.9778383Z 2025-09-07T08:01:56.9778480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9778815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9779114Z return mod(*inputs) 2025-09-07T08:01:56.9779433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9779775Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9780101Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9780425Z return self._forward_impl(x) 2025-09-07T08:01:56.9780750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:01:56.9781076Z x = self.layer1(x) 2025-09-07T08:01:56.9781492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:01:56.9781814Z out = self.relu(out) 2025-09-07T08:01:56.9781918Z 2025-09-07T08:01:56.9782023Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9782360Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9782651Z return mod(*inputs) 2025-09-07T08:01:56.9782970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9783320Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9783644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9783957Z return self._forward_impl(x) 2025-09-07T08:01:56.9784284Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:01:56.9784621Z x = self.layer1(x) 2025-09-07T08:01:56.9784914Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9785233Z out = self.conv2(out) 2025-09-07T08:01:56.9785340Z 2025-09-07T08:01:56.9785436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9785772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9786074Z return mod(*inputs) 2025-09-07T08:01:56.9786395Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9786737Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9787064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9787388Z return self._forward_impl(x) 2025-09-07T08:01:56.9787717Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:01:56.9788049Z x = self.layer1(x) 2025-09-07T08:01:56.9788334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9788653Z out = self.conv2(out) 2025-09-07T08:01:56.9788767Z 2025-09-07T08:01:56.9788865Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9789193Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9789483Z return mod(*inputs) 2025-09-07T08:01:56.9789804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9790152Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9790474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9790796Z return self._forward_impl(x) 2025-09-07T08:01:56.9791117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:01:56.9791445Z x = self.layer1(x) 2025-09-07T08:01:56.9791738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:01:56.9792056Z out = self.relu(out) 2025-09-07T08:01:56.9792157Z 2025-09-07T08:01:56.9792253Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9792581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9792877Z return mod(*inputs) 2025-09-07T08:01:56.9793196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9793541Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9793896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9794251Z return self._forward_impl(x) 2025-09-07T08:01:56.9794582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:01:56.9794914Z x = self.layer1(x) 2025-09-07T08:01:56.9795202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9795520Z out = self.conv1(x) 2025-09-07T08:01:56.9795622Z 2025-09-07T08:01:56.9795723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9796061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9796366Z return mod(*inputs) 2025-09-07T08:01:56.9796681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9797033Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9797368Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9797692Z return self._forward_impl(x) 2025-09-07T08:01:56.9798015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:01:56.9798350Z x = self.layer1(x) 2025-09-07T08:01:56.9798651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9798970Z out = self.conv1(x) 2025-09-07T08:01:56.9799065Z 2025-09-07T08:01:56.9799172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9799503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9799807Z return mod(*inputs) 2025-09-07T08:01:56.9800133Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9800493Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9800826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9801147Z return self._forward_impl(x) 2025-09-07T08:01:56.9801476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:01:56.9801811Z x = self.layer1(x) 2025-09-07T08:01:56.9802103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:01:56.9802415Z out = self.relu(out) 2025-09-07T08:01:56.9802524Z 2025-09-07T08:01:56.9802623Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9802962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9803268Z return mod(*inputs) 2025-09-07T08:01:56.9803600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9803952Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9804282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9804611Z return self._forward_impl(x) 2025-09-07T08:01:56.9804939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:01:56.9805263Z x = self.layer1(x) 2025-09-07T08:01:56.9805560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9805886Z out = self.conv2(out) 2025-09-07T08:01:56.9805988Z 2025-09-07T08:01:56.9806095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9806433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9806761Z return mod(*inputs) 2025-09-07T08:01:56.9807136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9807487Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9807817Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9808135Z return self._forward_impl(x) 2025-09-07T08:01:56.9808466Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:01:56.9808795Z x = self.layer1(x) 2025-09-07T08:01:56.9809089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9809403Z out = self.conv2(out) 2025-09-07T08:01:56.9809506Z 2025-09-07T08:01:56.9809601Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9809934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9810236Z return mod(*inputs) 2025-09-07T08:01:56.9810556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9810895Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9811219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9811543Z return self._forward_impl(x) 2025-09-07T08:01:56.9811868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:01:56.9812198Z x = self.layer1(x) 2025-09-07T08:01:56.9812488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:01:56.9812813Z out = self.relu(out) 2025-09-07T08:01:56.9812924Z 2025-09-07T08:01:56.9813019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9813362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9813652Z return mod(*inputs) 2025-09-07T08:01:56.9813974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9814326Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9814656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9815008Z return self._forward_impl(x) 2025-09-07T08:01:56.9815329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9815663Z x = self.layer2(x) 2025-09-07T08:01:56.9815954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9816266Z out = self.conv1(x) 2025-09-07T08:01:56.9816365Z 2025-09-07T08:01:56.9816464Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9816801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9817103Z return mod(*inputs) 2025-09-07T08:01:56.9817427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9817778Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9818100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9818418Z return self._forward_impl(x) 2025-09-07T08:01:56.9818746Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9819075Z x = self.layer2(x) 2025-09-07T08:01:56.9819361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9819739Z out = self.conv1(x) 2025-09-07T08:01:56.9819842Z 2025-09-07T08:01:56.9819940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9820277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9820577Z return mod(*inputs) 2025-09-07T08:01:56.9820892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9821243Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9821579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9821899Z return self._forward_impl(x) 2025-09-07T08:01:56.9822216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9822549Z x = self.layer2(x) 2025-09-07T08:01:56.9822845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:01:56.9823165Z out = self.relu(out) 2025-09-07T08:01:56.9823266Z 2025-09-07T08:01:56.9823371Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9823695Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9823998Z return mod(*inputs) 2025-09-07T08:01:56.9824317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9824664Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9824989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9825304Z return self._forward_impl(x) 2025-09-07T08:01:56.9825631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9825963Z x = self.layer2(x) 2025-09-07T08:01:56.9826255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9826564Z out = self.conv2(out) 2025-09-07T08:01:56.9826674Z 2025-09-07T08:01:56.9826774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9827108Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9827410Z return mod(*inputs) 2025-09-07T08:01:56.9827734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9828079Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9828408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9828729Z return self._forward_impl(x) 2025-09-07T08:01:56.9829058Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9829385Z x = self.layer2(x) 2025-09-07T08:01:56.9829679Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9830000Z out = self.conv2(out) 2025-09-07T08:01:56.9830101Z 2025-09-07T08:01:56.9830206Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9830543Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9830837Z return mod(*inputs) 2025-09-07T08:01:56.9831156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9831508Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9831835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9832149Z return self._forward_impl(x) 2025-09-07T08:01:56.9832541Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9832876Z x = self.layer2(x) 2025-09-07T08:01:56.9833177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-09-07T08:01:56.9833511Z identity = self.downsample(x) 2025-09-07T08:01:56.9833635Z 2025-09-07T08:01:56.9833733Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9834070Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9834369Z return mod(*inputs) 2025-09-07T08:01:56.9834693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9835041Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9835371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9835699Z return self._forward_impl(x) 2025-09-07T08:01:56.9836031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9836360Z x = self.layer2(x) 2025-09-07T08:01:56.9836649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-09-07T08:01:56.9836979Z identity = self.downsample(x) 2025-09-07T08:01:56.9837105Z 2025-09-07T08:01:56.9837203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9837536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9837832Z return mod(*inputs) 2025-09-07T08:01:56.9838159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9838511Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9838844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9839167Z return self._forward_impl(x) 2025-09-07T08:01:56.9839497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9839830Z x = self.layer2(x) 2025-09-07T08:01:56.9840128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:01:56.9840450Z out = self.relu(out) 2025-09-07T08:01:56.9840552Z 2025-09-07T08:01:56.9840651Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9840992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9841296Z return mod(*inputs) 2025-09-07T08:01:56.9841623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9841989Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9842312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9842638Z return self._forward_impl(x) 2025-09-07T08:01:56.9842970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9843306Z x = self.layer2(x) 2025-09-07T08:01:56.9843598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9843919Z out = self.conv1(x) 2025-09-07T08:01:56.9844023Z 2025-09-07T08:01:56.9844120Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9844461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9844767Z return mod(*inputs) 2025-09-07T08:01:56.9845108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9845492Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9845820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9846144Z return self._forward_impl(x) 2025-09-07T08:01:56.9846465Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9846799Z x = self.layer2(x) 2025-09-07T08:01:56.9847091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9847408Z out = self.conv1(x) 2025-09-07T08:01:56.9847500Z 2025-09-07T08:01:56.9847607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9847934Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9848236Z return mod(*inputs) 2025-09-07T08:01:56.9848781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9849142Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9849477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9849799Z return self._forward_impl(x) 2025-09-07T08:01:56.9850136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9850476Z x = self.layer2(x) 2025-09-07T08:01:56.9850779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:01:56.9851098Z out = self.relu(out) 2025-09-07T08:01:56.9851209Z 2025-09-07T08:01:56.9851310Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9851650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9851962Z return mod(*inputs) 2025-09-07T08:01:56.9852285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9852633Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9852963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9853292Z return self._forward_impl(x) 2025-09-07T08:01:56.9853625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9853956Z x = self.layer2(x) 2025-09-07T08:01:56.9854252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9854569Z out = self.conv2(out) 2025-09-07T08:01:56.9854673Z 2025-09-07T08:01:56.9854776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9855119Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9855417Z return mod(*inputs) 2025-09-07T08:01:56.9855739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9856091Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9856420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9856740Z return self._forward_impl(x) 2025-09-07T08:01:56.9857075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9857411Z x = self.layer2(x) 2025-09-07T08:01:56.9857707Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9858029Z out = self.conv2(out) 2025-09-07T08:01:56.9858132Z 2025-09-07T08:01:56.9859780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9860128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9860434Z return mod(*inputs) 2025-09-07T08:01:56.9860763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9861107Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9861437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9861768Z return self._forward_impl(x) 2025-09-07T08:01:56.9862104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:01:56.9862439Z x = self.layer2(x) 2025-09-07T08:01:56.9862727Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:01:56.9863056Z out = self.relu(out) 2025-09-07T08:01:56.9863166Z 2025-09-07T08:01:56.9863265Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9863604Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9863902Z return mod(*inputs) 2025-09-07T08:01:56.9864223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9864573Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9864902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9865225Z return self._forward_impl(x) 2025-09-07T08:01:56.9865545Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9865879Z x = self.layer3(x) 2025-09-07T08:01:56.9866174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9866500Z out = self.conv1(x) 2025-09-07T08:01:56.9866593Z 2025-09-07T08:01:56.9866690Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9867031Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9867331Z return mod(*inputs) 2025-09-07T08:01:56.9867652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9867999Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9868321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9868643Z return self._forward_impl(x) 2025-09-07T08:01:56.9868974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9869307Z x = self.layer3(x) 2025-09-07T08:01:56.9869598Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9869915Z out = self.conv1(x) 2025-09-07T08:01:56.9870016Z 2025-09-07T08:01:56.9870114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9870450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9870752Z return mod(*inputs) 2025-09-07T08:01:56.9871069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9871424Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9871751Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9872078Z return self._forward_impl(x) 2025-09-07T08:01:56.9872403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9872795Z x = self.layer3(x) 2025-09-07T08:01:56.9873091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:01:56.9873413Z out = self.relu(out) 2025-09-07T08:01:56.9873515Z 2025-09-07T08:01:56.9873622Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9873954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9874265Z return mod(*inputs) 2025-09-07T08:01:56.9874600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9874955Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9875282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9875598Z return self._forward_impl(x) 2025-09-07T08:01:56.9875933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9876263Z x = self.layer3(x) 2025-09-07T08:01:56.9876556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9876869Z out = self.conv2(out) 2025-09-07T08:01:56.9876979Z 2025-09-07T08:01:56.9877077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9877412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9877713Z return mod(*inputs) 2025-09-07T08:01:56.9878035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9878381Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9878708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9879038Z return self._forward_impl(x) 2025-09-07T08:01:56.9879367Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9879690Z x = self.layer3(x) 2025-09-07T08:01:56.9879987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9880307Z out = self.conv2(out) 2025-09-07T08:01:56.9880411Z 2025-09-07T08:01:56.9880515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9880850Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9881146Z return mod(*inputs) 2025-09-07T08:01:56.9881470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9881818Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9882146Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9882464Z return self._forward_impl(x) 2025-09-07T08:01:56.9882791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9883125Z x = self.layer3(x) 2025-09-07T08:01:56.9883420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-09-07T08:01:56.9883748Z identity = self.downsample(x) 2025-09-07T08:01:56.9883865Z 2025-09-07T08:01:56.9883964Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9884300Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9884601Z return mod(*inputs) 2025-09-07T08:01:56.9884918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9885258Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9885644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9885971Z return self._forward_impl(x) 2025-09-07T08:01:56.9886308Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9886646Z x = self.layer3(x) 2025-09-07T08:01:56.9886944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-09-07T08:01:56.9887281Z identity = self.downsample(x) 2025-09-07T08:01:56.9887411Z 2025-09-07T08:01:56.9887514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9887861Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9888160Z return mod(*inputs) 2025-09-07T08:01:56.9888499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9888863Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9889201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9889528Z return self._forward_impl(x) 2025-09-07T08:01:56.9889858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9890200Z x = self.layer3(x) 2025-09-07T08:01:56.9890508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:01:56.9890836Z out = self.relu(out) 2025-09-07T08:01:56.9890941Z 2025-09-07T08:01:56.9891042Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9891392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9891705Z return mod(*inputs) 2025-09-07T08:01:56.9892043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9892412Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9892740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9893073Z return self._forward_impl(x) 2025-09-07T08:01:56.9893410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9893754Z x = self.layer3(x) 2025-09-07T08:01:56.9894051Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9894378Z out = self.conv1(x) 2025-09-07T08:01:56.9894482Z 2025-09-07T08:01:56.9894581Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9894923Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9895238Z return mod(*inputs) 2025-09-07T08:01:56.9895558Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9895920Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9896253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9896583Z return self._forward_impl(x) 2025-09-07T08:01:56.9896916Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9897245Z x = self.layer3(x) 2025-09-07T08:01:56.9897546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9897871Z out = self.conv1(x) 2025-09-07T08:01:56.9897969Z 2025-09-07T08:01:56.9898081Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9898464Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9898767Z return mod(*inputs) 2025-09-07T08:01:56.9899088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9899440Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9899766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9900085Z return self._forward_impl(x) 2025-09-07T08:01:56.9900417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9900750Z x = self.layer3(x) 2025-09-07T08:01:56.9901045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:01:56.9901359Z out = self.relu(out) 2025-09-07T08:01:56.9901470Z 2025-09-07T08:01:56.9901574Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9901915Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9902222Z return mod(*inputs) 2025-09-07T08:01:56.9902544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9902892Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9903218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9903547Z return self._forward_impl(x) 2025-09-07T08:01:56.9903878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9904204Z x = self.layer3(x) 2025-09-07T08:01:56.9904501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9904821Z out = self.conv2(out) 2025-09-07T08:01:56.9904928Z 2025-09-07T08:01:56.9905038Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9905377Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9905674Z return mod(*inputs) 2025-09-07T08:01:56.9905996Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9906346Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9906673Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9906988Z return self._forward_impl(x) 2025-09-07T08:01:56.9907318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9907651Z x = self.layer3(x) 2025-09-07T08:01:56.9907949Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9908274Z out = self.conv2(out) 2025-09-07T08:01:56.9908377Z 2025-09-07T08:01:56.9908475Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9908815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9909118Z return mod(*inputs) 2025-09-07T08:01:56.9909441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9909780Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9910109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9910437Z return self._forward_impl(x) 2025-09-07T08:01:56.9910768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:01:56.9911098Z x = self.layer3(x) 2025-09-07T08:01:56.9911461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:01:56.9911786Z out = self.relu(out) 2025-09-07T08:01:56.9911893Z 2025-09-07T08:01:56.9911994Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9912337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9912638Z return mod(*inputs) 2025-09-07T08:01:56.9912965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9913321Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9913660Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9913985Z return self._forward_impl(x) 2025-09-07T08:01:56.9914312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9914656Z x = self.layer4(x) 2025-09-07T08:01:56.9914959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9915279Z out = self.conv1(x) 2025-09-07T08:01:56.9915376Z 2025-09-07T08:01:56.9915474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9915823Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9916128Z return mod(*inputs) 2025-09-07T08:01:56.9916456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9916818Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9917144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9917476Z return self._forward_impl(x) 2025-09-07T08:01:56.9917813Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9918155Z x = self.layer4(x) 2025-09-07T08:01:56.9918451Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9918775Z out = self.conv1(x) 2025-09-07T08:01:56.9918879Z 2025-09-07T08:01:56.9918980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9919325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9919636Z return mod(*inputs) 2025-09-07T08:01:56.9919955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9920318Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9920653Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9920985Z return self._forward_impl(x) 2025-09-07T08:01:56.9921323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9921655Z x = self.layer4(x) 2025-09-07T08:01:56.9921958Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:01:56.9922282Z out = self.relu(out) 2025-09-07T08:01:56.9922385Z 2025-09-07T08:01:56.9922493Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9922827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9923134Z return mod(*inputs) 2025-09-07T08:01:56.9923457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9923816Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9924242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9924589Z return self._forward_impl(x) 2025-09-07T08:01:56.9924922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9925254Z x = self.layer4(x) 2025-09-07T08:01:56.9925548Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9925857Z out = self.conv2(out) 2025-09-07T08:01:56.9925971Z 2025-09-07T08:01:56.9926070Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9926405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9926707Z return mod(*inputs) 2025-09-07T08:01:56.9927036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9927379Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9927712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9928033Z return self._forward_impl(x) 2025-09-07T08:01:56.9928360Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9928685Z x = self.layer4(x) 2025-09-07T08:01:56.9928980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9929296Z out = self.conv2(out) 2025-09-07T08:01:56.9929398Z 2025-09-07T08:01:56.9929504Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9929841Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9930134Z return mod(*inputs) 2025-09-07T08:01:56.9930458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9930810Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9931137Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9931453Z return self._forward_impl(x) 2025-09-07T08:01:56.9931776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9932103Z x = self.layer4(x) 2025-09-07T08:01:56.9932400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-09-07T08:01:56.9932738Z identity = self.downsample(x) 2025-09-07T08:01:56.9932859Z 2025-09-07T08:01:56.9932958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9933290Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9933589Z return mod(*inputs) 2025-09-07T08:01:56.9933911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9934253Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9934579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9934903Z return self._forward_impl(x) 2025-09-07T08:01:56.9935232Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9935562Z x = self.layer4(x) 2025-09-07T08:01:56.9935848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 100, in forward 2025-09-07T08:01:56.9936175Z identity = self.downsample(x) 2025-09-07T08:01:56.9936300Z 2025-09-07T08:01:56.9936397Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9936732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9937081Z return mod(*inputs) 2025-09-07T08:01:56.9937402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9937749Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9938077Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9938397Z return self._forward_impl(x) 2025-09-07T08:01:56.9938719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9939052Z x = self.layer4(x) 2025-09-07T08:01:56.9939347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:01:56.9939664Z out = self.relu(out) 2025-09-07T08:01:56.9939764Z 2025-09-07T08:01:56.9939871Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9940201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9940509Z return mod(*inputs) 2025-09-07T08:01:56.9940827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9941177Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9941493Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9941816Z return self._forward_impl(x) 2025-09-07T08:01:56.9942144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9942472Z x = self.layer4(x) 2025-09-07T08:01:56.9942757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9943075Z out = self.conv1(x) 2025-09-07T08:01:56.9943179Z 2025-09-07T08:01:56.9943275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9943613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9943913Z return mod(*inputs) 2025-09-07T08:01:56.9944224Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9944571Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9944896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9945215Z return self._forward_impl(x) 2025-09-07T08:01:56.9945544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9945867Z x = self.layer4(x) 2025-09-07T08:01:56.9946162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 92, in forward 2025-09-07T08:01:56.9946478Z out = self.conv1(x) 2025-09-07T08:01:56.9946579Z 2025-09-07T08:01:56.9946685Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9947017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9947316Z return mod(*inputs) 2025-09-07T08:01:56.9947636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9947988Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9948319Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9948674Z return self._forward_impl(x) 2025-09-07T08:01:56.9949005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9949336Z x = self.layer4(x) 2025-09-07T08:01:56.9949637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:01:56.9950072Z out = self.relu(out) 2025-09-07T08:01:56.9950184Z 2025-09-07T08:01:56.9950284Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9950619Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9950920Z return mod(*inputs) 2025-09-07T08:01:56.9951244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9951588Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9951918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9952245Z return self._forward_impl(x) 2025-09-07T08:01:56.9952573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9952900Z x = self.layer4(x) 2025-09-07T08:01:56.9953203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9953525Z out = self.conv2(out) 2025-09-07T08:01:56.9953627Z 2025-09-07T08:01:56.9953731Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9954065Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9954355Z return mod(*inputs) 2025-09-07T08:01:56.9954669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9955018Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9955341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9955654Z return self._forward_impl(x) 2025-09-07T08:01:56.9955980Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:01:56.9956311Z x = self.layer4(x) 2025-09-07T08:01:56.9956600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 96, in forward 2025-09-07T08:01:56.9956915Z out = self.conv2(out) 2025-09-07T08:01:56.9957018Z 2025-09-07T08:01:56.9957115Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:01:56.9957449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:01:56.9957744Z return mod(*inputs) 2025-09-07T08:01:56.9958063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/opacus/grad_sample/grad_sample_module.py", line 149, in forward 2025-09-07T08:01:56.9958406Z return self._module(*args, **kwargs) 2025-09-07T08:01:56.9958734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:01:56.9959054Z return self._forward_impl(x) 2025-09-07T08:01:56.9959386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl 2025-09-07T08:01:56.9959720Z x = self.avgpool(x) 2025-09-07T08:01:56.9959815Z 2025-09-07T08:01:56.9959893Z cudagraph partition due to non gpu ops 2025-09-07T08:01:56.9960103Z cudagraph partition due to non gpu ops 2025-09-07T08:02:14.2651660Z pass 2025-09-07T08:02:14.2652122Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:02:15.8812471Z /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. 2025-09-07T08:02:15.8813886Z import pynvml # type: ignore[import] 2025-09-07T08:02:17.5921242Z 2025-09-07T08:02:17.7280122Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:02:17.7280435Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:02:17.7281162Z cpu eval phlippe_densenet 2025-09-07T08:02:17.7719941Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:02:17.8022216Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:02:17.8325165Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:02:28.5330880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5331407Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5331725Z return mod(*inputs) 2025-09-07T08:02:28.5332032Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 165, in forward 2025-09-07T08:02:28.5332347Z x = self.input_net(x) 2025-09-07T08:02:28.5332460Z 2025-09-07T08:02:28.5332575Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5332968Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5333274Z return mod(*inputs) 2025-09-07T08:02:28.5333562Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 165, in forward 2025-09-07T08:02:28.5333868Z x = self.input_net(x) 2025-09-07T08:02:28.5333977Z 2025-09-07T08:02:28.5334082Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5334416Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5334724Z return mod(*inputs) 2025-09-07T08:02:28.5335007Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 165, in forward 2025-09-07T08:02:28.5335304Z x = self.input_net(x) 2025-09-07T08:02:28.5335404Z 2025-09-07T08:02:28.5335504Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5335828Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5336135Z return mod(*inputs) 2025-09-07T08:02:28.5336416Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5336709Z x = self.blocks(x) 2025-09-07T08:02:28.5336982Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5337277Z out = self.block(x) 2025-09-07T08:02:28.5337549Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5337844Z out = self.net(x) 2025-09-07T08:02:28.5337940Z 2025-09-07T08:02:28.5338044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5338375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5338676Z return mod(*inputs) 2025-09-07T08:02:28.5338960Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5339258Z x = self.blocks(x) 2025-09-07T08:02:28.5339531Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5339824Z out = self.block(x) 2025-09-07T08:02:28.5340092Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5340392Z out = self.net(x) 2025-09-07T08:02:28.5340485Z 2025-09-07T08:02:28.5340580Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5340916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5341214Z return mod(*inputs) 2025-09-07T08:02:28.5341488Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5341778Z x = self.blocks(x) 2025-09-07T08:02:28.5342043Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5342340Z out = self.block(x) 2025-09-07T08:02:28.5342954Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5343263Z out = self.net(x) 2025-09-07T08:02:28.5343356Z 2025-09-07T08:02:28.5343451Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5343790Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5344091Z return mod(*inputs) 2025-09-07T08:02:28.5344374Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5344668Z x = self.blocks(x) 2025-09-07T08:02:28.5344932Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5345226Z out = self.block(x) 2025-09-07T08:02:28.5345501Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5345784Z out = self.net(x) 2025-09-07T08:02:28.5345877Z 2025-09-07T08:02:28.5345963Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5346200Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5346531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5346828Z return mod(*inputs) 2025-09-07T08:02:28.5347087Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5347380Z x = self.blocks(x) 2025-09-07T08:02:28.5347646Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5347933Z out = self.block(x) 2025-09-07T08:02:28.5348199Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5348652Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5348787Z 2025-09-07T08:02:28.5348886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5349225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5349537Z return mod(*inputs) 2025-09-07T08:02:28.5349804Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5350099Z x = self.blocks(x) 2025-09-07T08:02:28.5350376Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5350669Z out = self.block(x) 2025-09-07T08:02:28.5350940Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5351229Z out = self.net(x) 2025-09-07T08:02:28.5351329Z 2025-09-07T08:02:28.5351427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5351760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5352060Z return mod(*inputs) 2025-09-07T08:02:28.5352325Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5352623Z x = self.blocks(x) 2025-09-07T08:02:28.5352891Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5353179Z out = self.block(x) 2025-09-07T08:02:28.5353437Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5353725Z out = self.net(x) 2025-09-07T08:02:28.5353825Z 2025-09-07T08:02:28.5353923Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5354254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5354552Z return mod(*inputs) 2025-09-07T08:02:28.5354813Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5355104Z x = self.blocks(x) 2025-09-07T08:02:28.5355370Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5356426Z out = self.block(x) 2025-09-07T08:02:28.5356692Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5356987Z out = self.net(x) 2025-09-07T08:02:28.5357091Z 2025-09-07T08:02:28.5357190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5357527Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5357833Z return mod(*inputs) 2025-09-07T08:02:28.5358100Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5358397Z x = self.blocks(x) 2025-09-07T08:02:28.5358674Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5358968Z out = self.block(x) 2025-09-07T08:02:28.5359235Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5359531Z out = self.net(x) 2025-09-07T08:02:28.5359634Z 2025-09-07T08:02:28.5359718Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5359948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5360274Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5360580Z return mod(*inputs) 2025-09-07T08:02:28.5360856Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5361146Z x = self.blocks(x) 2025-09-07T08:02:28.5361420Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5361707Z out = self.block(x) 2025-09-07T08:02:28.5361980Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5362281Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5362404Z 2025-09-07T08:02:28.5362510Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5362846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5363150Z return mod(*inputs) 2025-09-07T08:02:28.5363425Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5363719Z x = self.blocks(x) 2025-09-07T08:02:28.5363982Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5364278Z out = self.block(x) 2025-09-07T08:02:28.5364555Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5364852Z out = self.net(x) 2025-09-07T08:02:28.5364947Z 2025-09-07T08:02:28.5365054Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5365382Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5365687Z return mod(*inputs) 2025-09-07T08:02:28.5365968Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5366263Z x = self.blocks(x) 2025-09-07T08:02:28.5366524Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5366819Z out = self.block(x) 2025-09-07T08:02:28.5367090Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5367378Z out = self.net(x) 2025-09-07T08:02:28.5367472Z 2025-09-07T08:02:28.5367577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5367907Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5368216Z return mod(*inputs) 2025-09-07T08:02:28.5368509Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5368804Z x = self.blocks(x) 2025-09-07T08:02:28.5369124Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5369449Z out = self.block(x) 2025-09-07T08:02:28.5369719Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5370002Z out = self.net(x) 2025-09-07T08:02:28.5370095Z 2025-09-07T08:02:28.5370189Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5370522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5370823Z return mod(*inputs) 2025-09-07T08:02:28.5371095Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5371383Z x = self.blocks(x) 2025-09-07T08:02:28.5371642Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5371930Z out = self.block(x) 2025-09-07T08:02:28.5372198Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5372490Z out = self.net(x) 2025-09-07T08:02:28.5372582Z 2025-09-07T08:02:28.5372661Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5372887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5373221Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5373522Z return mod(*inputs) 2025-09-07T08:02:28.5373786Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5374078Z x = self.blocks(x) 2025-09-07T08:02:28.5374349Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5374641Z out = self.block(x) 2025-09-07T08:02:28.5374908Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5375199Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5375327Z 2025-09-07T08:02:28.5375431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5375768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5376071Z return mod(*inputs) 2025-09-07T08:02:28.5376334Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5376627Z x = self.blocks(x) 2025-09-07T08:02:28.5376891Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5377181Z out = self.block(x) 2025-09-07T08:02:28.5377447Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5377727Z out = self.net(x) 2025-09-07T08:02:28.5377824Z 2025-09-07T08:02:28.5377918Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5378251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5378557Z return mod(*inputs) 2025-09-07T08:02:28.5378823Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5379115Z x = self.blocks(x) 2025-09-07T08:02:28.5379381Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5379669Z out = self.block(x) 2025-09-07T08:02:28.5379930Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5380216Z out = self.net(x) 2025-09-07T08:02:28.5380316Z 2025-09-07T08:02:28.5380411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5380747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5381046Z return mod(*inputs) 2025-09-07T08:02:28.5381305Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5381595Z x = self.blocks(x) 2025-09-07T08:02:28.5381919Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5382208Z out = self.block(x) 2025-09-07T08:02:28.5382464Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5382746Z out = self.net(x) 2025-09-07T08:02:28.5382846Z 2025-09-07T08:02:28.5382940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5383270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5383567Z return mod(*inputs) 2025-09-07T08:02:28.5383827Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5384116Z x = self.blocks(x) 2025-09-07T08:02:28.5384381Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5384668Z out = self.block(x) 2025-09-07T08:02:28.5384930Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5385221Z out = self.net(x) 2025-09-07T08:02:28.5385321Z 2025-09-07T08:02:28.5385398Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5385625Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5385950Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5386252Z return mod(*inputs) 2025-09-07T08:02:28.5386522Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5386812Z x = self.blocks(x) 2025-09-07T08:02:28.5387079Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5387362Z out = self.block(x) 2025-09-07T08:02:28.5387627Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5387926Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5388049Z 2025-09-07T08:02:28.5388156Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5388483Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5388787Z return mod(*inputs) 2025-09-07T08:02:28.5389056Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5389346Z x = self.blocks(x) 2025-09-07T08:02:28.5389606Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5389895Z out = self.block(x) 2025-09-07T08:02:28.5390162Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5390449Z out = self.net(x) 2025-09-07T08:02:28.5390541Z 2025-09-07T08:02:28.5390643Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5390971Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5391276Z return mod(*inputs) 2025-09-07T08:02:28.5391547Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5391832Z x = self.blocks(x) 2025-09-07T08:02:28.5392088Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5392376Z out = self.block(x) 2025-09-07T08:02:28.5392641Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5392928Z out = self.net(x) 2025-09-07T08:02:28.5393019Z 2025-09-07T08:02:28.5393123Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5393448Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5393747Z return mod(*inputs) 2025-09-07T08:02:28.5394014Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5394361Z x = self.blocks(x) 2025-09-07T08:02:28.5394619Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5394908Z out = self.block(x) 2025-09-07T08:02:28.5395175Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5395465Z out = self.net(x) 2025-09-07T08:02:28.5395557Z 2025-09-07T08:02:28.5395653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5395986Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5396282Z return mod(*inputs) 2025-09-07T08:02:28.5396552Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5396841Z x = self.blocks(x) 2025-09-07T08:02:28.5397097Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5397386Z out = self.block(x) 2025-09-07T08:02:28.5397652Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5397936Z out = self.net(x) 2025-09-07T08:02:28.5398026Z 2025-09-07T08:02:28.5398103Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5398330Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5398662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5398961Z return mod(*inputs) 2025-09-07T08:02:28.5399222Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5399515Z x = self.blocks(x) 2025-09-07T08:02:28.5399781Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5400073Z out = self.block(x) 2025-09-07T08:02:28.5400337Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5400631Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5400760Z 2025-09-07T08:02:28.5400856Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5401187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5401487Z return mod(*inputs) 2025-09-07T08:02:28.5401748Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5402035Z x = self.blocks(x) 2025-09-07T08:02:28.5402297Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5402584Z out = self.block(x) 2025-09-07T08:02:28.5402852Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5403132Z out = self.net(x) 2025-09-07T08:02:28.5403230Z 2025-09-07T08:02:28.5403325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5403665Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5403963Z return mod(*inputs) 2025-09-07T08:02:28.5404224Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5404515Z x = self.blocks(x) 2025-09-07T08:02:28.5404782Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5405070Z out = self.block(x) 2025-09-07T08:02:28.5405344Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5405625Z out = self.net(x) 2025-09-07T08:02:28.5405723Z 2025-09-07T08:02:28.5405818Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5406149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5406448Z return mod(*inputs) 2025-09-07T08:02:28.5406737Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5407052Z x = self.blocks(x) 2025-09-07T08:02:28.5407316Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5407603Z out = self.block(x) 2025-09-07T08:02:28.5407867Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5408147Z out = self.net(x) 2025-09-07T08:02:28.5408246Z 2025-09-07T08:02:28.5408341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5408670Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5408966Z return mod(*inputs) 2025-09-07T08:02:28.5409228Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5409520Z x = self.blocks(x) 2025-09-07T08:02:28.5409780Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5410073Z out = self.block(x) 2025-09-07T08:02:28.5410328Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5410613Z out = self.net(x) 2025-09-07T08:02:28.5410714Z 2025-09-07T08:02:28.5410791Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5411016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5411343Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5411633Z return mod(*inputs) 2025-09-07T08:02:28.5411903Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5412189Z x = self.blocks(x) 2025-09-07T08:02:28.5412455Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5412735Z out = self.block(x) 2025-09-07T08:02:28.5413007Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5413310Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5413429Z 2025-09-07T08:02:28.5413532Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5413865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5414158Z return mod(*inputs) 2025-09-07T08:02:28.5414426Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5414712Z x = self.blocks(x) 2025-09-07T08:02:28.5414979Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward 2025-09-07T08:02:28.5415269Z return self.transition(x) 2025-09-07T08:02:28.5415390Z 2025-09-07T08:02:28.5415484Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5415810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5416126Z return mod(*inputs) 2025-09-07T08:02:28.5416395Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5416676Z x = self.blocks(x) 2025-09-07T08:02:28.5416940Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward 2025-09-07T08:02:28.5417229Z return self.transition(x) 2025-09-07T08:02:28.5417339Z 2025-09-07T08:02:28.5417442Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5417762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5418061Z return mod(*inputs) 2025-09-07T08:02:28.5418329Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5418616Z x = self.blocks(x) 2025-09-07T08:02:28.5418882Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward 2025-09-07T08:02:28.5419168Z return self.transition(x) 2025-09-07T08:02:28.5419332Z 2025-09-07T08:02:28.5419456Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5419788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5420092Z return mod(*inputs) 2025-09-07T08:02:28.5420353Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5420641Z x = self.blocks(x) 2025-09-07T08:02:28.5420905Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5421190Z out = self.block(x) 2025-09-07T08:02:28.5421447Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5421734Z out = self.net(x) 2025-09-07T08:02:28.5421834Z 2025-09-07T08:02:28.5421930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5422266Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5422568Z return mod(*inputs) 2025-09-07T08:02:28.5422993Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5423284Z x = self.blocks(x) 2025-09-07T08:02:28.5423546Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5423835Z out = self.block(x) 2025-09-07T08:02:28.5424092Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5424381Z out = self.net(x) 2025-09-07T08:02:28.5424482Z 2025-09-07T08:02:28.5424577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5424913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5425215Z return mod(*inputs) 2025-09-07T08:02:28.5425476Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5425774Z x = self.blocks(x) 2025-09-07T08:02:28.5426041Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5426327Z out = self.block(x) 2025-09-07T08:02:28.5426585Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5426868Z out = self.net(x) 2025-09-07T08:02:28.5426969Z 2025-09-07T08:02:28.5427067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5427401Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5427701Z return mod(*inputs) 2025-09-07T08:02:28.5427966Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5428256Z x = self.blocks(x) 2025-09-07T08:02:28.5428523Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5428812Z out = self.block(x) 2025-09-07T08:02:28.5429072Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5429359Z out = self.net(x) 2025-09-07T08:02:28.5429459Z 2025-09-07T08:02:28.5429537Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5429762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5430089Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5430429Z return mod(*inputs) 2025-09-07T08:02:28.5430701Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5430994Z x = self.blocks(x) 2025-09-07T08:02:28.5431262Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5431540Z out = self.block(x) 2025-09-07T08:02:28.5431803Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5432159Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5432283Z 2025-09-07T08:02:28.5432386Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5432712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5433016Z return mod(*inputs) 2025-09-07T08:02:28.5433285Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5433573Z x = self.blocks(x) 2025-09-07T08:02:28.5433828Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5434118Z out = self.block(x) 2025-09-07T08:02:28.5434381Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5434664Z out = self.net(x) 2025-09-07T08:02:28.5434756Z 2025-09-07T08:02:28.5434857Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5435187Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5435486Z return mod(*inputs) 2025-09-07T08:02:28.5435752Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5436037Z x = self.blocks(x) 2025-09-07T08:02:28.5436293Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5436582Z out = self.block(x) 2025-09-07T08:02:28.5436847Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5437131Z out = self.net(x) 2025-09-07T08:02:28.5437223Z 2025-09-07T08:02:28.5437325Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5437648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5437944Z return mod(*inputs) 2025-09-07T08:02:28.5438214Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5438501Z x = self.blocks(x) 2025-09-07T08:02:28.5438756Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5439044Z out = self.block(x) 2025-09-07T08:02:28.5439308Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5439595Z out = self.net(x) 2025-09-07T08:02:28.5439688Z 2025-09-07T08:02:28.5439784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5440115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5440414Z return mod(*inputs) 2025-09-07T08:02:28.5440682Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5440969Z x = self.blocks(x) 2025-09-07T08:02:28.5441225Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5441517Z out = self.block(x) 2025-09-07T08:02:28.5441781Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5442064Z out = self.net(x) 2025-09-07T08:02:28.5442154Z 2025-09-07T08:02:28.5442230Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5442456Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5442783Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5443076Z return mod(*inputs) 2025-09-07T08:02:28.5443343Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5443621Z x = self.blocks(x) 2025-09-07T08:02:28.5443886Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5444173Z out = self.block(x) 2025-09-07T08:02:28.5444472Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5444796Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5444921Z 2025-09-07T08:02:28.5445017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5445352Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5445653Z return mod(*inputs) 2025-09-07T08:02:28.5445915Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5446204Z x = self.blocks(x) 2025-09-07T08:02:28.5446469Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5446757Z out = self.block(x) 2025-09-07T08:02:28.5447022Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5447303Z out = self.net(x) 2025-09-07T08:02:28.5447401Z 2025-09-07T08:02:28.5447496Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5447834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5448132Z return mod(*inputs) 2025-09-07T08:02:28.5448393Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5448723Z x = self.blocks(x) 2025-09-07T08:02:28.5448989Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5449285Z out = self.block(x) 2025-09-07T08:02:28.5449543Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5449835Z out = self.net(x) 2025-09-07T08:02:28.5449939Z 2025-09-07T08:02:28.5450034Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5450371Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5450673Z return mod(*inputs) 2025-09-07T08:02:28.5450944Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5451236Z x = self.blocks(x) 2025-09-07T08:02:28.5451505Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5451792Z out = self.block(x) 2025-09-07T08:02:28.5452053Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5452342Z out = self.net(x) 2025-09-07T08:02:28.5452442Z 2025-09-07T08:02:28.5452540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5452880Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5453176Z return mod(*inputs) 2025-09-07T08:02:28.5453439Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5453728Z x = self.blocks(x) 2025-09-07T08:02:28.5453995Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5454286Z out = self.block(x) 2025-09-07T08:02:28.5454545Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5454831Z out = self.net(x) 2025-09-07T08:02:28.5454930Z 2025-09-07T08:02:28.5455007Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5455232Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5455556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5455854Z return mod(*inputs) 2025-09-07T08:02:28.5456122Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5456409Z x = self.blocks(x) 2025-09-07T08:02:28.5456671Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5456946Z out = self.block(x) 2025-09-07T08:02:28.5457353Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5457657Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5457779Z 2025-09-07T08:02:28.5457883Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5458209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5458512Z return mod(*inputs) 2025-09-07T08:02:28.5458782Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5459071Z x = self.blocks(x) 2025-09-07T08:02:28.5459336Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5459616Z out = self.block(x) 2025-09-07T08:02:28.5459884Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5460171Z out = self.net(x) 2025-09-07T08:02:28.5460266Z 2025-09-07T08:02:28.5460370Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5460692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5460987Z return mod(*inputs) 2025-09-07T08:02:28.5461254Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5461542Z x = self.blocks(x) 2025-09-07T08:02:28.5461795Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5462077Z out = self.block(x) 2025-09-07T08:02:28.5462345Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5462630Z out = self.net(x) 2025-09-07T08:02:28.5462721Z 2025-09-07T08:02:28.5462820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5463144Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5463446Z return mod(*inputs) 2025-09-07T08:02:28.5463712Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5464000Z x = self.blocks(x) 2025-09-07T08:02:28.5464255Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5464543Z out = self.block(x) 2025-09-07T08:02:28.5464808Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5465094Z out = self.net(x) 2025-09-07T08:02:28.5465185Z 2025-09-07T08:02:28.5465291Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5465616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5465918Z return mod(*inputs) 2025-09-07T08:02:28.5466185Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5466476Z x = self.blocks(x) 2025-09-07T08:02:28.5466733Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5467029Z out = self.block(x) 2025-09-07T08:02:28.5467292Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5467577Z out = self.net(x) 2025-09-07T08:02:28.5467668Z 2025-09-07T08:02:28.5467743Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5467970Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5468298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5468597Z return mod(*inputs) 2025-09-07T08:02:28.5468866Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5469148Z x = self.blocks(x) 2025-09-07T08:02:28.5469413Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5469756Z out = self.block(x) 2025-09-07T08:02:28.5470022Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5470308Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5470434Z 2025-09-07T08:02:28.5470530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5470865Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5471165Z return mod(*inputs) 2025-09-07T08:02:28.5471427Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5471714Z x = self.blocks(x) 2025-09-07T08:02:28.5471976Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5472263Z out = self.block(x) 2025-09-07T08:02:28.5472525Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5472805Z out = self.net(x) 2025-09-07T08:02:28.5472908Z 2025-09-07T08:02:28.5473002Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5473329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5473627Z return mod(*inputs) 2025-09-07T08:02:28.5473886Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5474174Z x = self.blocks(x) 2025-09-07T08:02:28.5474440Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5474725Z out = self.block(x) 2025-09-07T08:02:28.5474987Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5475264Z out = self.net(x) 2025-09-07T08:02:28.5475362Z 2025-09-07T08:02:28.5475454Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5475788Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5476087Z return mod(*inputs) 2025-09-07T08:02:28.5476345Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5476636Z x = self.blocks(x) 2025-09-07T08:02:28.5476901Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5477190Z out = self.block(x) 2025-09-07T08:02:28.5477447Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5477736Z out = self.net(x) 2025-09-07T08:02:28.5477834Z 2025-09-07T08:02:28.5477930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5478261Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5478557Z return mod(*inputs) 2025-09-07T08:02:28.5478816Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5479110Z x = self.blocks(x) 2025-09-07T08:02:28.5479376Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5479663Z out = self.block(x) 2025-09-07T08:02:28.5479921Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5480211Z out = self.net(x) 2025-09-07T08:02:28.5480309Z 2025-09-07T08:02:28.5480386Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5480614Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5480940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5481233Z return mod(*inputs) 2025-09-07T08:02:28.5481502Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5481792Z x = self.blocks(x) 2025-09-07T08:02:28.5482112Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5482420Z out = self.block(x) 2025-09-07T08:02:28.5482688Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5482984Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5483101Z 2025-09-07T08:02:28.5483206Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5483532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5483833Z return mod(*inputs) 2025-09-07T08:02:28.5484103Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5484397Z x = self.blocks(x) 2025-09-07T08:02:28.5484665Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5484947Z out = self.block(x) 2025-09-07T08:02:28.5485211Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5485504Z out = self.net(x) 2025-09-07T08:02:28.5485597Z 2025-09-07T08:02:28.5485700Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5486028Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5486329Z return mod(*inputs) 2025-09-07T08:02:28.5486594Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5486883Z x = self.blocks(x) 2025-09-07T08:02:28.5487140Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5487427Z out = self.block(x) 2025-09-07T08:02:28.5487695Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5487983Z out = self.net(x) 2025-09-07T08:02:28.5488075Z 2025-09-07T08:02:28.5488177Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5488510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5488811Z return mod(*inputs) 2025-09-07T08:02:28.5489079Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5489368Z x = self.blocks(x) 2025-09-07T08:02:28.5489627Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5489917Z out = self.block(x) 2025-09-07T08:02:28.5490186Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5490478Z out = self.net(x) 2025-09-07T08:02:28.5490570Z 2025-09-07T08:02:28.5490672Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5491000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5491304Z return mod(*inputs) 2025-09-07T08:02:28.5491577Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5491871Z x = self.blocks(x) 2025-09-07T08:02:28.5492129Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5492417Z out = self.block(x) 2025-09-07T08:02:28.5492683Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5492969Z out = self.net(x) 2025-09-07T08:02:28.5493061Z 2025-09-07T08:02:28.5493136Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5493364Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5493694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5493995Z return mod(*inputs) 2025-09-07T08:02:28.5494264Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5494545Z x = self.blocks(x) 2025-09-07T08:02:28.5494868Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5495161Z out = self.block(x) 2025-09-07T08:02:28.5495427Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5495715Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5495843Z 2025-09-07T08:02:28.5495940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5496272Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5496572Z return mod(*inputs) 2025-09-07T08:02:28.5496841Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5497122Z x = self.blocks(x) 2025-09-07T08:02:28.5497382Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward 2025-09-07T08:02:28.5497677Z return self.transition(x) 2025-09-07T08:02:28.5497789Z 2025-09-07T08:02:28.5497893Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5498218Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5498517Z return mod(*inputs) 2025-09-07T08:02:28.5498785Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5499070Z x = self.blocks(x) 2025-09-07T08:02:28.5499325Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward 2025-09-07T08:02:28.5499619Z return self.transition(x) 2025-09-07T08:02:28.5499735Z 2025-09-07T08:02:28.5499830Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5500161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5500462Z return mod(*inputs) 2025-09-07T08:02:28.5500724Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5501016Z x = self.blocks(x) 2025-09-07T08:02:28.5501283Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward 2025-09-07T08:02:28.5501575Z return self.transition(x) 2025-09-07T08:02:28.5501686Z 2025-09-07T08:02:28.5501781Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5502115Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5502413Z return mod(*inputs) 2025-09-07T08:02:28.5502693Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5502983Z x = self.blocks(x) 2025-09-07T08:02:28.5503242Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5503532Z out = self.block(x) 2025-09-07T08:02:28.5503800Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5504092Z out = self.net(x) 2025-09-07T08:02:28.5504188Z 2025-09-07T08:02:28.5504281Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5504618Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5504922Z return mod(*inputs) 2025-09-07T08:02:28.5505191Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5505483Z x = self.blocks(x) 2025-09-07T08:02:28.5505736Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5506023Z out = self.block(x) 2025-09-07T08:02:28.5506287Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5506572Z out = self.net(x) 2025-09-07T08:02:28.5506664Z 2025-09-07T08:02:28.5506761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5507120Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5507461Z return mod(*inputs) 2025-09-07T08:02:28.5507732Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5508014Z x = self.blocks(x) 2025-09-07T08:02:28.5508283Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5508570Z out = self.block(x) 2025-09-07T08:02:28.5508835Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5509121Z out = self.net(x) 2025-09-07T08:02:28.5509212Z 2025-09-07T08:02:28.5509307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5509642Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5509937Z return mod(*inputs) 2025-09-07T08:02:28.5510205Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5510488Z x = self.blocks(x) 2025-09-07T08:02:28.5510753Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5511040Z out = self.block(x) 2025-09-07T08:02:28.5511306Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5511585Z out = self.net(x) 2025-09-07T08:02:28.5511686Z 2025-09-07T08:02:28.5511762Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5511990Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5512318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5512613Z return mod(*inputs) 2025-09-07T08:02:28.5512873Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5513158Z x = self.blocks(x) 2025-09-07T08:02:28.5513427Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5513717Z out = self.block(x) 2025-09-07T08:02:28.5513977Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5514272Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5514400Z 2025-09-07T08:02:28.5514497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5514831Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5515132Z return mod(*inputs) 2025-09-07T08:02:28.5515393Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5515681Z x = self.blocks(x) 2025-09-07T08:02:28.5515950Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5516238Z out = self.block(x) 2025-09-07T08:02:28.5516494Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5516788Z out = self.net(x) 2025-09-07T08:02:28.5516888Z 2025-09-07T08:02:28.5516983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5517312Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5517601Z return mod(*inputs) 2025-09-07T08:02:28.5517879Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5518166Z x = self.blocks(x) 2025-09-07T08:02:28.5518430Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5518715Z out = self.block(x) 2025-09-07T08:02:28.5518973Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5519260Z out = self.net(x) 2025-09-07T08:02:28.5519353Z 2025-09-07T08:02:28.5519456Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5519846Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5520142Z return mod(*inputs) 2025-09-07T08:02:28.5520411Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5520700Z x = self.blocks(x) 2025-09-07T08:02:28.5520966Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5521243Z out = self.block(x) 2025-09-07T08:02:28.5521507Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5521792Z out = self.net(x) 2025-09-07T08:02:28.5521884Z 2025-09-07T08:02:28.5521988Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5522320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5522609Z return mod(*inputs) 2025-09-07T08:02:28.5522888Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5523178Z x = self.blocks(x) 2025-09-07T08:02:28.5523442Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5523722Z out = self.block(x) 2025-09-07T08:02:28.5523987Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5524273Z out = self.net(x) 2025-09-07T08:02:28.5524363Z 2025-09-07T08:02:28.5524447Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5524672Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5524994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5525290Z return mod(*inputs) 2025-09-07T08:02:28.5525560Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5525843Z x = self.blocks(x) 2025-09-07T08:02:28.5526106Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5526391Z out = self.block(x) 2025-09-07T08:02:28.5526655Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5526947Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5527068Z 2025-09-07T08:02:28.5527164Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5527495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5527795Z return mod(*inputs) 2025-09-07T08:02:28.5528065Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5528352Z x = self.blocks(x) 2025-09-07T08:02:28.5528608Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5528892Z out = self.block(x) 2025-09-07T08:02:28.5529161Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5529444Z out = self.net(x) 2025-09-07T08:02:28.5529535Z 2025-09-07T08:02:28.5529631Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5529963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5530260Z return mod(*inputs) 2025-09-07T08:02:28.5530530Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5530818Z x = self.blocks(x) 2025-09-07T08:02:28.5531076Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5531360Z out = self.block(x) 2025-09-07T08:02:28.5531625Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5531912Z out = self.net(x) 2025-09-07T08:02:28.5532003Z 2025-09-07T08:02:28.5532158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5532495Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5532793Z return mod(*inputs) 2025-09-07T08:02:28.5533062Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5533343Z x = self.blocks(x) 2025-09-07T08:02:28.5533609Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5533891Z out = self.block(x) 2025-09-07T08:02:28.5534159Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5534445Z out = self.net(x) 2025-09-07T08:02:28.5534535Z 2025-09-07T08:02:28.5534630Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5534958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5535258Z return mod(*inputs) 2025-09-07T08:02:28.5535525Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5535805Z x = self.blocks(x) 2025-09-07T08:02:28.5536070Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5536353Z out = self.block(x) 2025-09-07T08:02:28.5536615Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5536891Z out = self.net(x) 2025-09-07T08:02:28.5536989Z 2025-09-07T08:02:28.5537065Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5537286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5537613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5537913Z return mod(*inputs) 2025-09-07T08:02:28.5538173Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5538463Z x = self.blocks(x) 2025-09-07T08:02:28.5538726Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5539006Z out = self.block(x) 2025-09-07T08:02:28.5539264Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5539556Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5539683Z 2025-09-07T08:02:28.5539779Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5540109Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5540405Z return mod(*inputs) 2025-09-07T08:02:28.5540665Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5540954Z x = self.blocks(x) 2025-09-07T08:02:28.5541220Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5541506Z out = self.block(x) 2025-09-07T08:02:28.5541766Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5542050Z out = self.net(x) 2025-09-07T08:02:28.5542151Z 2025-09-07T08:02:28.5542247Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5542579Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5542868Z return mod(*inputs) 2025-09-07T08:02:28.5543138Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5543423Z x = self.blocks(x) 2025-09-07T08:02:28.5543683Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5543965Z out = self.block(x) 2025-09-07T08:02:28.5544222Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5544506Z out = self.net(x) 2025-09-07T08:02:28.5544645Z 2025-09-07T08:02:28.5544771Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5545099Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5545394Z return mod(*inputs) 2025-09-07T08:02:28.5545662Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5545950Z x = self.blocks(x) 2025-09-07T08:02:28.5546215Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5546500Z out = self.block(x) 2025-09-07T08:02:28.5546760Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5547055Z out = self.net(x) 2025-09-07T08:02:28.5547147Z 2025-09-07T08:02:28.5547254Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5547580Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5547876Z return mod(*inputs) 2025-09-07T08:02:28.5548142Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5548434Z x = self.blocks(x) 2025-09-07T08:02:28.5548745Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5549033Z out = self.block(x) 2025-09-07T08:02:28.5549302Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5549583Z out = self.net(x) 2025-09-07T08:02:28.5549674Z 2025-09-07T08:02:28.5549760Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5549985Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5550318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5550628Z return mod(*inputs) 2025-09-07T08:02:28.5550913Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5551210Z x = self.blocks(x) 2025-09-07T08:02:28.5551476Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5551774Z out = self.block(x) 2025-09-07T08:02:28.5552045Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5552345Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5552467Z 2025-09-07T08:02:28.5552572Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5552905Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5553211Z return mod(*inputs) 2025-09-07T08:02:28.5553488Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5553783Z x = self.blocks(x) 2025-09-07T08:02:28.5554045Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5554346Z out = self.block(x) 2025-09-07T08:02:28.5554618Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5554910Z out = self.net(x) 2025-09-07T08:02:28.5555006Z 2025-09-07T08:02:28.5555103Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5555445Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5555752Z return mod(*inputs) 2025-09-07T08:02:28.5556032Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5556326Z x = self.blocks(x) 2025-09-07T08:02:28.5556586Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5556880Z out = self.block(x) 2025-09-07T08:02:28.5557153Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5557570Z out = self.net(x) 2025-09-07T08:02:28.5557666Z 2025-09-07T08:02:28.5557764Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5558110Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5558419Z return mod(*inputs) 2025-09-07T08:02:28.5558700Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5558994Z x = self.blocks(x) 2025-09-07T08:02:28.5559277Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5559574Z out = self.block(x) 2025-09-07T08:02:28.5559845Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5560142Z out = self.net(x) 2025-09-07T08:02:28.5560233Z 2025-09-07T08:02:28.5560329Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5560672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5560983Z return mod(*inputs) 2025-09-07T08:02:28.5561258Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5561546Z x = self.blocks(x) 2025-09-07T08:02:28.5561825Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5562114Z out = self.block(x) 2025-09-07T08:02:28.5562378Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5562665Z out = self.net(x) 2025-09-07T08:02:28.5562757Z 2025-09-07T08:02:28.5562832Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5563055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5563388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5563686Z return mod(*inputs) 2025-09-07T08:02:28.5563958Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5564248Z x = self.blocks(x) 2025-09-07T08:02:28.5564512Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5564802Z out = self.block(x) 2025-09-07T08:02:28.5565064Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5565361Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5565488Z 2025-09-07T08:02:28.5565582Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5565921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5566222Z return mod(*inputs) 2025-09-07T08:02:28.5566482Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5566774Z x = self.blocks(x) 2025-09-07T08:02:28.5567048Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5567335Z out = self.block(x) 2025-09-07T08:02:28.5567593Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5567882Z out = self.net(x) 2025-09-07T08:02:28.5567982Z 2025-09-07T08:02:28.5568077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5568414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5568713Z return mod(*inputs) 2025-09-07T08:02:28.5568986Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5569276Z x = self.blocks(x) 2025-09-07T08:02:28.5569541Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5569829Z out = self.block(x) 2025-09-07T08:02:28.5570117Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5570441Z out = self.net(x) 2025-09-07T08:02:28.5570539Z 2025-09-07T08:02:28.5570633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5570963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5571253Z return mod(*inputs) 2025-09-07T08:02:28.5571525Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5571813Z x = self.blocks(x) 2025-09-07T08:02:28.5572078Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5572363Z out = self.block(x) 2025-09-07T08:02:28.5572624Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5572908Z out = self.net(x) 2025-09-07T08:02:28.5572999Z 2025-09-07T08:02:28.5573101Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5573436Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5573726Z return mod(*inputs) 2025-09-07T08:02:28.5573995Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5574286Z x = self.blocks(x) 2025-09-07T08:02:28.5574548Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5574830Z out = self.block(x) 2025-09-07T08:02:28.5575098Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5575383Z out = self.net(x) 2025-09-07T08:02:28.5575472Z 2025-09-07T08:02:28.5575556Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5575780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5576104Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5576405Z return mod(*inputs) 2025-09-07T08:02:28.5576673Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5576961Z x = self.blocks(x) 2025-09-07T08:02:28.5577217Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5577502Z out = self.block(x) 2025-09-07T08:02:28.5577767Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5578064Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5578183Z 2025-09-07T08:02:28.5578287Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5578611Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5578917Z return mod(*inputs) 2025-09-07T08:02:28.5579185Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5579477Z x = self.blocks(x) 2025-09-07T08:02:28.5579738Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward 2025-09-07T08:02:28.5580036Z return self.transition(x) 2025-09-07T08:02:28.5580158Z 2025-09-07T08:02:28.5580255Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5580583Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5580881Z return mod(*inputs) 2025-09-07T08:02:28.5581143Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5581427Z x = self.blocks(x) 2025-09-07T08:02:28.5581689Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward 2025-09-07T08:02:28.5581981Z return self.transition(x) 2025-09-07T08:02:28.5582090Z 2025-09-07T08:02:28.5582186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5582545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5582871Z return mod(*inputs) 2025-09-07T08:02:28.5583137Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5583416Z x = self.blocks(x) 2025-09-07T08:02:28.5583679Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward 2025-09-07T08:02:28.5583971Z return self.transition(x) 2025-09-07T08:02:28.5584077Z 2025-09-07T08:02:28.5584181Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5584508Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5584798Z return mod(*inputs) 2025-09-07T08:02:28.5585066Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5585355Z x = self.blocks(x) 2025-09-07T08:02:28.5585622Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5585901Z out = self.block(x) 2025-09-07T08:02:28.5586169Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5586451Z out = self.net(x) 2025-09-07T08:02:28.5586541Z 2025-09-07T08:02:28.5586642Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5586974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5587263Z return mod(*inputs) 2025-09-07T08:02:28.5587533Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5587818Z x = self.blocks(x) 2025-09-07T08:02:28.5588077Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5588354Z out = self.block(x) 2025-09-07T08:02:28.5588617Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5588906Z out = self.net(x) 2025-09-07T08:02:28.5588997Z 2025-09-07T08:02:28.5589096Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5589421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5589717Z return mod(*inputs) 2025-09-07T08:02:28.5589987Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5590277Z x = self.blocks(x) 2025-09-07T08:02:28.5590537Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5590812Z out = self.block(x) 2025-09-07T08:02:28.5591078Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5591363Z out = self.net(x) 2025-09-07T08:02:28.5591454Z 2025-09-07T08:02:28.5591557Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5591884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5592180Z return mod(*inputs) 2025-09-07T08:02:28.5592452Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5592741Z x = self.blocks(x) 2025-09-07T08:02:28.5592996Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5593282Z out = self.block(x) 2025-09-07T08:02:28.5593555Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5593839Z out = self.net(x) 2025-09-07T08:02:28.5593930Z 2025-09-07T08:02:28.5594014Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5594230Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5594562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5594857Z return mod(*inputs) 2025-09-07T08:02:28.5595192Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5595477Z x = self.blocks(x) 2025-09-07T08:02:28.5595747Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5596037Z out = self.block(x) 2025-09-07T08:02:28.5596308Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5596608Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5596727Z 2025-09-07T08:02:28.5596824Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5597163Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5597465Z return mod(*inputs) 2025-09-07T08:02:28.5597736Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5598024Z x = self.blocks(x) 2025-09-07T08:02:28.5598302Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5598588Z out = self.block(x) 2025-09-07T08:02:28.5598857Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5599138Z out = self.net(x) 2025-09-07T08:02:28.5599239Z 2025-09-07T08:02:28.5599334Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5599671Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5599972Z return mod(*inputs) 2025-09-07T08:02:28.5600243Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5600524Z x = self.blocks(x) 2025-09-07T08:02:28.5600785Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5601073Z out = self.block(x) 2025-09-07T08:02:28.5601341Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5601623Z out = self.net(x) 2025-09-07T08:02:28.5601723Z 2025-09-07T08:02:28.5601816Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5602151Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5602452Z return mod(*inputs) 2025-09-07T08:02:28.5602723Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5603006Z x = self.blocks(x) 2025-09-07T08:02:28.5603268Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5603554Z out = self.block(x) 2025-09-07T08:02:28.5603820Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5604103Z out = self.net(x) 2025-09-07T08:02:28.5604203Z 2025-09-07T08:02:28.5604298Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5604638Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5604940Z return mod(*inputs) 2025-09-07T08:02:28.5605204Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5605493Z x = self.blocks(x) 2025-09-07T08:02:28.5605759Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5606052Z out = self.block(x) 2025-09-07T08:02:28.5606319Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5606601Z out = self.net(x) 2025-09-07T08:02:28.5606701Z 2025-09-07T08:02:28.5606778Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5607007Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5607339Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5607703Z return mod(*inputs) 2025-09-07T08:02:28.5607976Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5608268Z x = self.blocks(x) 2025-09-07T08:02:28.5608530Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5608811Z out = self.block(x) 2025-09-07T08:02:28.5609077Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5609373Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5609493Z 2025-09-07T08:02:28.5609598Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5609936Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5610226Z return mod(*inputs) 2025-09-07T08:02:28.5610495Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5610793Z x = self.blocks(x) 2025-09-07T08:02:28.5611061Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5611341Z out = self.block(x) 2025-09-07T08:02:28.5611611Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5611904Z out = self.net(x) 2025-09-07T08:02:28.5611996Z 2025-09-07T08:02:28.5612098Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5612431Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5612723Z return mod(*inputs) 2025-09-07T08:02:28.5612991Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5613280Z x = self.blocks(x) 2025-09-07T08:02:28.5613544Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5613825Z out = self.block(x) 2025-09-07T08:02:28.5614094Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5614381Z out = self.net(x) 2025-09-07T08:02:28.5614473Z 2025-09-07T08:02:28.5614577Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5614903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5615206Z return mod(*inputs) 2025-09-07T08:02:28.5615477Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5615771Z x = self.blocks(x) 2025-09-07T08:02:28.5616037Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5616317Z out = self.block(x) 2025-09-07T08:02:28.5616581Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5616869Z out = self.net(x) 2025-09-07T08:02:28.5616875Z 2025-09-07T08:02:28.5616974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5617164Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5617226Z return mod(*inputs) 2025-09-07T08:02:28.5617406Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5617467Z x = self.blocks(x) 2025-09-07T08:02:28.5617637Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5617708Z out = self.block(x) 2025-09-07T08:02:28.5617874Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5617943Z out = self.net(x) 2025-09-07T08:02:28.5617946Z 2025-09-07T08:02:28.5618021Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5618118Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5618337Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5618424Z return mod(*inputs) 2025-09-07T08:02:28.5618602Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5618662Z x = self.blocks(x) 2025-09-07T08:02:28.5618830Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5618901Z out = self.block(x) 2025-09-07T08:02:28.5619067Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5619145Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5619148Z 2025-09-07T08:02:28.5619247Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5619428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5619505Z return mod(*inputs) 2025-09-07T08:02:28.5619675Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5619748Z x = self.blocks(x) 2025-09-07T08:02:28.5619915Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5619977Z out = self.block(x) 2025-09-07T08:02:28.5620150Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5620210Z out = self.net(x) 2025-09-07T08:02:28.5620213Z 2025-09-07T08:02:28.5620316Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5620496Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5620558Z return mod(*inputs) 2025-09-07T08:02:28.5620733Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5620795Z x = self.blocks(x) 2025-09-07T08:02:28.5620968Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5621035Z out = self.block(x) 2025-09-07T08:02:28.5621200Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5621268Z out = self.net(x) 2025-09-07T08:02:28.5621271Z 2025-09-07T08:02:28.5621365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5621551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5621614Z return mod(*inputs) 2025-09-07T08:02:28.5621787Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5621848Z x = self.blocks(x) 2025-09-07T08:02:28.5622015Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5622086Z out = self.block(x) 2025-09-07T08:02:28.5622252Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5622323Z out = self.net(x) 2025-09-07T08:02:28.5622329Z 2025-09-07T08:02:28.5622425Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5622602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5622671Z return mod(*inputs) 2025-09-07T08:02:28.5622838Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5622907Z x = self.blocks(x) 2025-09-07T08:02:28.5623073Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5623133Z out = self.block(x) 2025-09-07T08:02:28.5623305Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5623366Z out = self.net(x) 2025-09-07T08:02:28.5623369Z 2025-09-07T08:02:28.5623452Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5623544Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5623781Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5623853Z return mod(*inputs) 2025-09-07T08:02:28.5624021Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5624089Z x = self.blocks(x) 2025-09-07T08:02:28.5624258Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5624319Z out = self.block(x) 2025-09-07T08:02:28.5624493Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5624560Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5624563Z 2025-09-07T08:02:28.5624659Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5624834Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5624894Z return mod(*inputs) 2025-09-07T08:02:28.5625075Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5625135Z x = self.blocks(x) 2025-09-07T08:02:28.5625309Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5625370Z out = self.block(x) 2025-09-07T08:02:28.5625544Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5625604Z out = self.net(x) 2025-09-07T08:02:28.5625607Z 2025-09-07T08:02:28.5625699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5625885Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5625946Z return mod(*inputs) 2025-09-07T08:02:28.5626121Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5626180Z x = self.blocks(x) 2025-09-07T08:02:28.5626348Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5626417Z out = self.block(x) 2025-09-07T08:02:28.5626580Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5626647Z out = self.net(x) 2025-09-07T08:02:28.5626650Z 2025-09-07T08:02:28.5626743Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5626918Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5626989Z return mod(*inputs) 2025-09-07T08:02:28.5627156Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5627224Z x = self.blocks(x) 2025-09-07T08:02:28.5627390Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5627451Z out = self.block(x) 2025-09-07T08:02:28.5627624Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5627690Z out = self.net(x) 2025-09-07T08:02:28.5627693Z 2025-09-07T08:02:28.5627795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5627974Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5628038Z return mod(*inputs) 2025-09-07T08:02:28.5628217Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5628279Z x = self.blocks(x) 2025-09-07T08:02:28.5628452Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5628513Z out = self.block(x) 2025-09-07T08:02:28.5628677Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5628745Z out = self.net(x) 2025-09-07T08:02:28.5628747Z 2025-09-07T08:02:28.5628824Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5628990Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5629166Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5629236Z return mod(*inputs) 2025-09-07T08:02:28.5629407Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5629467Z x = self.blocks(x) 2025-09-07T08:02:28.5629640Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5629701Z out = self.block(x) 2025-09-07T08:02:28.5629875Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5629945Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5629949Z 2025-09-07T08:02:28.5630040Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5630225Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5630289Z return mod(*inputs) 2025-09-07T08:02:28.5630467Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5630526Z x = self.blocks(x) 2025-09-07T08:02:28.5630693Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5630763Z out = self.block(x) 2025-09-07T08:02:28.5630927Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5630995Z out = self.net(x) 2025-09-07T08:02:28.5630998Z 2025-09-07T08:02:28.5631090Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5631267Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5631337Z return mod(*inputs) 2025-09-07T08:02:28.5631504Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5631573Z x = self.blocks(x) 2025-09-07T08:02:28.5631745Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5631808Z out = self.block(x) 2025-09-07T08:02:28.5631981Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5632041Z out = self.net(x) 2025-09-07T08:02:28.5632044Z 2025-09-07T08:02:28.5632145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5632322Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5632387Z return mod(*inputs) 2025-09-07T08:02:28.5632563Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5632624Z x = self.blocks(x) 2025-09-07T08:02:28.5632797Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5632858Z out = self.block(x) 2025-09-07T08:02:28.5633027Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5633095Z out = self.net(x) 2025-09-07T08:02:28.5633098Z 2025-09-07T08:02:28.5633190Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5633372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5633432Z return mod(*inputs) 2025-09-07T08:02:28.5633609Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5633669Z x = self.blocks(x) 2025-09-07T08:02:28.5633834Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5633901Z out = self.block(x) 2025-09-07T08:02:28.5634064Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward 2025-09-07T08:02:28.5634134Z out = self.net(x) 2025-09-07T08:02:28.5634137Z 2025-09-07T08:02:28.5634211Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5634368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5634551Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5634614Z return mod(*inputs) 2025-09-07T08:02:28.5634789Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward 2025-09-07T08:02:28.5634850Z x = self.blocks(x) 2025-09-07T08:02:28.5635014Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward 2025-09-07T08:02:28.5635084Z out = self.block(x) 2025-09-07T08:02:28.5635248Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward 2025-09-07T08:02:28.5635322Z out = torch.cat([out, x], dim=1) 2025-09-07T08:02:28.5635325Z 2025-09-07T08:02:28.5635400Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5635494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:28.5635688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:28.5635749Z return mod(*inputs) 2025-09-07T08:02:28.5635925Z File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 167, in forward 2025-09-07T08:02:28.5635992Z x = self.output_net(x) 2025-09-07T08:02:28.5635995Z 2025-09-07T08:02:28.5636070Z cudagraph partition due to non gpu ops 2025-09-07T08:02:28.5636150Z cudagraph partition due to non gpu ops 2025-09-07T08:02:49.3323210Z pass 2025-09-07T08:02:49.3323625Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:02:50.9207120Z /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. 2025-09-07T08:02:50.9208529Z import pynvml # type: ignore[import] 2025-09-07T08:02:52.6327382Z 2025-09-07T08:02:52.7457650Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:02:52.7458051Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:02:52.7458375Z cpu eval phlippe_resnet 2025-09-07T08:02:52.7659662Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:02:52.7791882Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:02:52.7914872Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:02:56.9326714Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9327136Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9327469Z return mod(*inputs) 2025-09-07T08:02:56.9327757Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 137, in forward 2025-09-07T08:02:56.9328120Z x = self.input_net(x) 2025-09-07T08:02:56.9328237Z 2025-09-07T08:02:56.9328343Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9328685Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9328986Z return mod(*inputs) 2025-09-07T08:02:56.9329252Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9329544Z x = self.blocks(x) 2025-09-07T08:02:56.9329819Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 55, in forward 2025-09-07T08:02:56.9330122Z out = self.act_fn(out) 2025-09-07T08:02:56.9330226Z 2025-09-07T08:02:56.9330327Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9330666Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9330967Z return mod(*inputs) 2025-09-07T08:02:56.9331702Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9331986Z x = self.blocks(x) 2025-09-07T08:02:56.9332273Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 55, in forward 2025-09-07T08:02:56.9332562Z out = self.act_fn(out) 2025-09-07T08:02:56.9332664Z 2025-09-07T08:02:56.9332771Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9333100Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9333395Z return mod(*inputs) 2025-09-07T08:02:56.9333663Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9333953Z x = self.blocks(x) 2025-09-07T08:02:56.9334216Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9334494Z z = self.net(x) 2025-09-07T08:02:56.9334593Z 2025-09-07T08:02:56.9334689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9335027Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9335325Z return mod(*inputs) 2025-09-07T08:02:56.9335596Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9335873Z x = self.blocks(x) 2025-09-07T08:02:56.9336191Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9336465Z z = self.net(x) 2025-09-07T08:02:56.9336562Z 2025-09-07T08:02:56.9336644Z cudagraph partition due to non gpu ops 2025-09-07T08:02:56.9336873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9337202Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9337497Z return mod(*inputs) 2025-09-07T08:02:56.9337759Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9338056Z x = self.blocks(x) 2025-09-07T08:02:56.9338333Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9338626Z z = self.net(x) 2025-09-07T08:02:56.9338718Z 2025-09-07T08:02:56.9338817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9339158Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9339460Z return mod(*inputs) 2025-09-07T08:02:56.9339734Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9340021Z x = self.blocks(x) 2025-09-07T08:02:56.9340290Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9340578Z z = self.net(x) 2025-09-07T08:02:56.9340667Z 2025-09-07T08:02:56.9340753Z cudagraph partition due to non gpu ops 2025-09-07T08:02:56.9340993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9341320Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9341616Z return mod(*inputs) 2025-09-07T08:02:56.9341879Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9342162Z x = self.blocks(x) 2025-09-07T08:02:56.9342415Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9342699Z z = self.net(x) 2025-09-07T08:02:56.9342790Z 2025-09-07T08:02:56.9342884Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9343211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9343499Z return mod(*inputs) 2025-09-07T08:02:56.9343764Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9344045Z x = self.blocks(x) 2025-09-07T08:02:56.9344445Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9344730Z z = self.net(x) 2025-09-07T08:02:56.9344817Z 2025-09-07T08:02:56.9344927Z cudagraph partition due to non gpu ops 2025-09-07T08:02:56.9345158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9345489Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9345786Z return mod(*inputs) 2025-09-07T08:02:56.9346046Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9346335Z x = self.blocks(x) 2025-09-07T08:02:56.9346596Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9346880Z z = self.net(x) 2025-09-07T08:02:56.9346968Z 2025-09-07T08:02:56.9347061Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9347393Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9347693Z return mod(*inputs) 2025-09-07T08:02:56.9347958Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9348247Z x = self.blocks(x) 2025-09-07T08:02:56.9348590Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9348886Z z = self.net(x) 2025-09-07T08:02:56.9348987Z 2025-09-07T08:02:56.9349092Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9349421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9349712Z return mod(*inputs) 2025-09-07T08:02:56.9349982Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9350273Z x = self.blocks(x) 2025-09-07T08:02:56.9350537Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 55, in forward 2025-09-07T08:02:56.9350826Z out = self.act_fn(out) 2025-09-07T08:02:56.9350939Z 2025-09-07T08:02:56.9351036Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9351367Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9351668Z return mod(*inputs) 2025-09-07T08:02:56.9351932Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9352206Z x = self.blocks(x) 2025-09-07T08:02:56.9352464Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 55, in forward 2025-09-07T08:02:56.9352748Z out = self.act_fn(out) 2025-09-07T08:02:56.9352848Z 2025-09-07T08:02:56.9352929Z cudagraph partition due to non gpu ops 2025-09-07T08:02:56.9353144Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9353472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9353774Z return mod(*inputs) 2025-09-07T08:02:56.9354040Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9354324Z x = self.blocks(x) 2025-09-07T08:02:56.9354578Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9354859Z z = self.net(x) 2025-09-07T08:02:56.9354945Z 2025-09-07T08:02:56.9355048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9355375Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9355665Z return mod(*inputs) 2025-09-07T08:02:56.9355929Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9356214Z x = self.blocks(x) 2025-09-07T08:02:56.9356474Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9356747Z z = self.net(x) 2025-09-07T08:02:56.9356939Z 2025-09-07T08:02:56.9357062Z cudagraph partition due to non gpu ops 2025-09-07T08:02:56.9357292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9357629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9357932Z return mod(*inputs) 2025-09-07T08:02:56.9358195Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9358487Z x = self.blocks(x) 2025-09-07T08:02:56.9358752Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9359043Z z = self.net(x) 2025-09-07T08:02:56.9359135Z 2025-09-07T08:02:56.9359232Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9359564Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9359866Z return mod(*inputs) 2025-09-07T08:02:56.9360142Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9360429Z x = self.blocks(x) 2025-09-07T08:02:56.9360686Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9360967Z z = self.net(x) 2025-09-07T08:02:56.9361056Z 2025-09-07T08:02:56.9361142Z cudagraph partition due to non gpu ops 2025-09-07T08:02:56.9361367Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9361692Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9361992Z return mod(*inputs) 2025-09-07T08:02:56.9362258Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9362544Z x = self.blocks(x) 2025-09-07T08:02:56.9362798Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9363084Z z = self.net(x) 2025-09-07T08:02:56.9363183Z 2025-09-07T08:02:56.9363280Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9363616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9363912Z return mod(*inputs) 2025-09-07T08:02:56.9364172Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9364457Z x = self.blocks(x) 2025-09-07T08:02:56.9364724Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9365009Z z = self.net(x) 2025-09-07T08:02:56.9365096Z 2025-09-07T08:02:56.9365191Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9365522Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9365821Z return mod(*inputs) 2025-09-07T08:02:56.9366090Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9366374Z x = self.blocks(x) 2025-09-07T08:02:56.9366638Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 55, in forward 2025-09-07T08:02:56.9366927Z out = self.act_fn(out) 2025-09-07T08:02:56.9367032Z 2025-09-07T08:02:56.9367136Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9367470Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9367761Z return mod(*inputs) 2025-09-07T08:02:56.9368034Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9368323Z x = self.blocks(x) 2025-09-07T08:02:56.9368588Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 55, in forward 2025-09-07T08:02:56.9368870Z out = self.act_fn(out) 2025-09-07T08:02:56.9368982Z 2025-09-07T08:02:56.9369059Z cudagraph partition due to non gpu ops 2025-09-07T08:02:56.9369286Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9369683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9369989Z return mod(*inputs) 2025-09-07T08:02:56.9370251Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9370541Z x = self.blocks(x) 2025-09-07T08:02:56.9370810Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9371096Z z = self.net(x) 2025-09-07T08:02:56.9371181Z 2025-09-07T08:02:56.9371278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9371615Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9371918Z return mod(*inputs) 2025-09-07T08:02:56.9372185Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9372464Z x = self.blocks(x) 2025-09-07T08:02:56.9372737Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9373022Z z = self.net(x) 2025-09-07T08:02:56.9373108Z 2025-09-07T08:02:56.9373195Z cudagraph partition due to non gpu ops 2025-09-07T08:02:56.9373420Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9373748Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9374051Z return mod(*inputs) 2025-09-07T08:02:56.9374321Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9374611Z x = self.blocks(x) 2025-09-07T08:02:56.9374867Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9375152Z z = self.net(x) 2025-09-07T08:02:56.9375248Z 2025-09-07T08:02:56.9375343Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9375680Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9375979Z return mod(*inputs) 2025-09-07T08:02:56.9376238Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 138, in forward 2025-09-07T08:02:56.9376524Z x = self.blocks(x) 2025-09-07T08:02:56.9376790Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 51, in forward 2025-09-07T08:02:56.9377073Z z = self.net(x) 2025-09-07T08:02:56.9377159Z 2025-09-07T08:02:56.9377234Z cudagraph partition due to non gpu ops 2025-09-07T08:02:56.9377438Z cudagraph partition due to non gpu ops 2025-09-07T08:02:56.9377659Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:02:56.9377993Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:02:56.9378285Z return mod(*inputs) 2025-09-07T08:02:56.9378552Z File "/torchbench/torchbenchmark/models/phlippe_resnet/__init__.py", line 139, in forward 2025-09-07T08:02:56.9378848Z x = self.output_net(x) 2025-09-07T08:02:56.9378950Z 2025-09-07T08:02:56.9379033Z cudagraph partition due to non gpu ops 2025-09-07T08:02:56.9379235Z cudagraph partition due to non gpu ops 2025-09-07T08:03:04.2609377Z pass 2025-09-07T08:03:04.2609831Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:06.1111055Z /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. 2025-09-07T08:03:06.1112554Z import pynvml # type: ignore[import] 2025-09-07T08:03:07.8299743Z 2025-09-07T08:03:07.9134259Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:03:07.9134552Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:03:07.9134769Z cpu eval pyhpc_equation_of_state 2025-09-07T08:03:07.9137633Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:07.9156682Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:07.9167700Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:18.5086621Z pass 2025-09-07T08:03:18.5087031Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:19.9694798Z /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. 2025-09-07T08:03:19.9696238Z import pynvml # type: ignore[import] 2025-09-07T08:03:21.6792704Z 2025-09-07T08:03:21.7632327Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:03:21.7632667Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:03:21.7632894Z cpu eval pyhpc_isoneutral_mixing 2025-09-07T08:03:21.7660432Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:21.7703178Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:21.7736190Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:27.9937578Z cudagraph partition due to non gpu ops 2025-09-07T08:03:27.9937868Z cudagraph partition due to non gpu ops 2025-09-07T08:03:35.0746927Z pass 2025-09-07T08:03:35.0747632Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:36.5704497Z /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. 2025-09-07T08:03:36.5705939Z import pynvml # type: ignore[import] 2025-09-07T08:03:38.2796413Z 2025-09-07T08:03:38.7345810Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:03:38.7346929Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:03:38.7353348Z cpu eval pyhpc_turbulent_kinetic_energy 2025-09-07T08:03:38.8162837Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:38.9021447Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:38.9864247Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:03:47.1413052Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:47.1413481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:03:47.1413856Z return mod(*inputs) 2025-09-07T08:03:47.1414207Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/__init__.py", line 100, in forward 2025-09-07T08:03:47.1414563Z return tke_pytorch.integrate_tke( 2025-09-07T08:03:47.1414926Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 230, in integrate_tke 2025-09-07T08:03:47.1415316Z + (delta[:, :, 1:-1] + delta[:, :, :-2]) / dzw[None, None, 1:-1] 2025-09-07T08:03:47.1415482Z 2025-09-07T08:03:47.1415592Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:47.1415940Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:03:47.1416253Z return mod(*inputs) 2025-09-07T08:03:47.1416568Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/__init__.py", line 100, in forward 2025-09-07T08:03:47.1416903Z return tke_pytorch.integrate_tke( 2025-09-07T08:03:47.1417603Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 249, in integrate_tke 2025-09-07T08:03:47.1418145Z sol, water_mask = solve_implicit(ks, a_tri, b_tri, c_tri, d_tri, b_edge=b_tri_edge) 2025-09-07T08:03:47.1418574Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 40, in solve_implicit 2025-09-07T08:03:47.1418964Z return solve_tridiag(a_tri, b_tri, c_tri, d_tri), water_mask 2025-09-07T08:03:47.1419354Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 17, in solve_tridiag 2025-09-07T08:03:47.1419743Z out = torch.empty_like(a) 2025-09-07T08:03:47.1423614Z 2025-09-07T08:03:47.1423699Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1423913Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1424114Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1424303Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1424501Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1424708Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1424903Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1425088Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1425284Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1425479Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1425671Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1425857Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1426050Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1426243Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1426439Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1426658Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1426854Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1427050Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1427246Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1427439Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1427639Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1427839Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1428035Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1428225Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1428450Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:47.1428796Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:03:47.1429102Z return mod(*inputs) 2025-09-07T08:03:47.1429406Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/__init__.py", line 100, in forward 2025-09-07T08:03:47.1429750Z return tke_pytorch.integrate_tke( 2025-09-07T08:03:47.1430101Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 250, in integrate_tke 2025-09-07T08:03:47.1430509Z tke[2:-2, 2:-2, :, taup1] = torch.where(water_mask, sol, tke[2:-2, 2:-2, :, taup1]) 2025-09-07T08:03:47.1430688Z 2025-09-07T08:03:47.1430773Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1430966Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1431192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:47.1431530Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:03:47.1431831Z return mod(*inputs) 2025-09-07T08:03:47.1432127Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/__init__.py", line 100, in forward 2025-09-07T08:03:47.1432463Z return tke_pytorch.integrate_tke( 2025-09-07T08:03:47.1432810Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 269, in integrate_tke 2025-09-07T08:03:47.1433178Z * (tke[1:, :, :, tau] - tke[:-1, :, :, tau]) 2025-09-07T08:03:47.1433310Z 2025-09-07T08:03:47.1433417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:47.1433743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:03:47.1434136Z return mod(*inputs) 2025-09-07T08:03:47.1434444Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/__init__.py", line 100, in forward 2025-09-07T08:03:47.1434779Z return tke_pytorch.integrate_tke( 2025-09-07T08:03:47.1435120Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 276, in integrate_tke 2025-09-07T08:03:47.1435483Z * (tke[:, 1:, :, tau] - tke[:, :-1, :, tau]) 2025-09-07T08:03:47.1435619Z 2025-09-07T08:03:47.1435695Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1435900Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1436185Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:47.1436512Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:03:47.1436814Z return mod(*inputs) 2025-09-07T08:03:47.1437120Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/__init__.py", line 100, in forward 2025-09-07T08:03:47.1437456Z return tke_pytorch.integrate_tke( 2025-09-07T08:03:47.1437798Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 296, in integrate_tke 2025-09-07T08:03:47.1438146Z adv_flux_superbee_wgrid( 2025-09-07T08:03:47.1438510Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 140, in adv_flux_superbee_wgrid 2025-09-07T08:03:47.1438887Z adv_fe[1:-2, 2:-2, :] = _adv_superbee( 2025-09-07T08:03:47.1439244Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 76, in _adv_superbee 2025-09-07T08:03:47.1439618Z cr = limiter(_calc_cr(rjp, rj, rjm, vel[1:-2, 2:-2, :])) 2025-09-07T08:03:47.1439983Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 48, in _calc_cr 2025-09-07T08:03:47.1440400Z return torch.where(vel > 0.0, rjm, rjp) / torch.where(torch.abs(rj) < eps, eps, rj) 2025-09-07T08:03:47.1440601Z 2025-09-07T08:03:47.1440709Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:47.1441044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:03:47.1441339Z return mod(*inputs) 2025-09-07T08:03:47.1441645Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/__init__.py", line 100, in forward 2025-09-07T08:03:47.1441986Z return tke_pytorch.integrate_tke( 2025-09-07T08:03:47.1442332Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 296, in integrate_tke 2025-09-07T08:03:47.1442675Z adv_flux_superbee_wgrid( 2025-09-07T08:03:47.1443034Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 140, in adv_flux_superbee_wgrid 2025-09-07T08:03:47.1443413Z adv_fe[1:-2, 2:-2, :] = _adv_superbee( 2025-09-07T08:03:47.1443768Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 79, in _adv_superbee 2025-09-07T08:03:47.1444168Z - torch.abs(vel[1:-2, 2:-2, :]) * ((1.0 - cr) + uCFL * cr) * rj * 0.5 2025-09-07T08:03:47.1444333Z 2025-09-07T08:03:47.1444406Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1444612Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1444809Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1445032Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:47.1445362Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:03:47.1445667Z return mod(*inputs) 2025-09-07T08:03:47.1445968Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/__init__.py", line 100, in forward 2025-09-07T08:03:47.1446303Z return tke_pytorch.integrate_tke( 2025-09-07T08:03:47.1446642Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 320, in integrate_tke 2025-09-07T08:03:47.1447091Z dtke[:, :, 1:-1, tau] += -(flux_top[:, :, 1:-1] - flux_top[:, :, :-2]) / dzw[1:-1] 2025-09-07T08:03:47.1447279Z 2025-09-07T08:03:47.1447355Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1447587Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:03:47.1447931Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:03:47.1448236Z return mod(*inputs) 2025-09-07T08:03:47.1448726Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/__init__.py", line 100, in forward 2025-09-07T08:03:47.1449065Z return tke_pytorch.integrate_tke( 2025-09-07T08:03:47.1449480Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 321, in integrate_tke 2025-09-07T08:03:47.1449897Z dtke[:, :, -1, tau] += -(flux_top[:, :, -1] - flux_top[:, :, -2]) / (0.5 * dzw[-1]) 2025-09-07T08:03:47.1450068Z 2025-09-07T08:03:47.1450145Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1450356Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1450558Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1450759Z cudagraph partition due to non gpu ops 2025-09-07T08:03:47.1450948Z cudagraph partition due to non gpu ops 2025-09-07T08:04:09.4851855Z pass 2025-09-07T08:04:09.4852273Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:11.1986216Z /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. 2025-09-07T08:04:11.1987768Z import pynvml # type: ignore[import] 2025-09-07T08:04:12.9097160Z 2025-09-07T08:04:13.2492937Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:13.2493253Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:13.2493540Z cpu eval pytorch_CycleGAN_and_pix2pix 2025-09-07T08:04:13.5810957Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:13.6231976Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:13.6630172Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:17.3897811Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3898329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3898745Z return mod(*inputs) 2025-09-07T08:04:17.3899150Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3899549Z return self.model(input) 2025-09-07T08:04:17.3899683Z 2025-09-07T08:04:17.3899827Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3900234Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3900612Z return mod(*inputs) 2025-09-07T08:04:17.3901018Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3901423Z return self.model(input) 2025-09-07T08:04:17.3901545Z 2025-09-07T08:04:17.3901664Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3902183Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3902645Z return mod(*inputs) 2025-09-07T08:04:17.3903129Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3903540Z return self.model(input) 2025-09-07T08:04:17.3903702Z 2025-09-07T08:04:17.3903849Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3904545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3905884Z return mod(*inputs) 2025-09-07T08:04:17.3906201Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3906557Z return self.model(input) 2025-09-07T08:04:17.3906673Z 2025-09-07T08:04:17.3906773Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3907112Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3907416Z return mod(*inputs) 2025-09-07T08:04:17.3907733Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3908155Z return self.model(input) 2025-09-07T08:04:17.3908271Z 2025-09-07T08:04:17.3908368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3908707Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3909014Z return mod(*inputs) 2025-09-07T08:04:17.3909339Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3909685Z return self.model(input) 2025-09-07T08:04:17.3909793Z 2025-09-07T08:04:17.3910006Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3910348Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3910646Z return mod(*inputs) 2025-09-07T08:04:17.3910969Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3911317Z return self.model(input) 2025-09-07T08:04:17.3911427Z 2025-09-07T08:04:17.3911534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3911877Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3912177Z return mod(*inputs) 2025-09-07T08:04:17.3912499Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3912846Z return self.model(input) 2025-09-07T08:04:17.3912954Z 2025-09-07T08:04:17.3913059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3913390Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3913697Z return mod(*inputs) 2025-09-07T08:04:17.3914015Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3914363Z return self.model(input) 2025-09-07T08:04:17.3914469Z 2025-09-07T08:04:17.3914574Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3914908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3915212Z return mod(*inputs) 2025-09-07T08:04:17.3915537Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3915886Z return self.model(input) 2025-09-07T08:04:17.3915995Z 2025-09-07T08:04:17.3916093Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3916435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3916744Z return mod(*inputs) 2025-09-07T08:04:17.3917068Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3917412Z return self.model(input) 2025-09-07T08:04:17.3917736Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3918115Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3918271Z 2025-09-07T08:04:17.3918368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3918775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3919074Z return mod(*inputs) 2025-09-07T08:04:17.3919399Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3919742Z return self.model(input) 2025-09-07T08:04:17.3920071Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3920441Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3920585Z 2025-09-07T08:04:17.3920682Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3921052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3921359Z return mod(*inputs) 2025-09-07T08:04:17.3921677Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3922016Z return self.model(input) 2025-09-07T08:04:17.3922347Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3922715Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3922857Z 2025-09-07T08:04:17.3922965Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3923302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3923602Z return mod(*inputs) 2025-09-07T08:04:17.3923921Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3924264Z return self.model(input) 2025-09-07T08:04:17.3924591Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3924953Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3925105Z 2025-09-07T08:04:17.3925208Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3925550Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3925850Z return mod(*inputs) 2025-09-07T08:04:17.3926161Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3926495Z return self.model(input) 2025-09-07T08:04:17.3926820Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3927191Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3927332Z 2025-09-07T08:04:17.3927436Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3927775Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3928072Z return mod(*inputs) 2025-09-07T08:04:17.3928393Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3928735Z return self.model(input) 2025-09-07T08:04:17.3929063Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3929422Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3929571Z 2025-09-07T08:04:17.3929670Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3930014Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3930322Z return mod(*inputs) 2025-09-07T08:04:17.3930643Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3930981Z return self.model(input) 2025-09-07T08:04:17.3931306Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3931724Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3931867Z 2025-09-07T08:04:17.3931971Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3932306Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3932615Z return mod(*inputs) 2025-09-07T08:04:17.3932934Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3933278Z return self.model(input) 2025-09-07T08:04:17.3933604Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3933997Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3934146Z 2025-09-07T08:04:17.3934245Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3934582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3934894Z return mod(*inputs) 2025-09-07T08:04:17.3935206Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3935551Z return self.model(input) 2025-09-07T08:04:17.3935880Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3936248Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3936389Z 2025-09-07T08:04:17.3936494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3936829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3937139Z return mod(*inputs) 2025-09-07T08:04:17.3937459Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3937804Z return self.model(input) 2025-09-07T08:04:17.3938138Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3938496Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3938646Z 2025-09-07T08:04:17.3938746Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3939085Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3939392Z return mod(*inputs) 2025-09-07T08:04:17.3939703Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3940046Z return self.model(input) 2025-09-07T08:04:17.3940382Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3940747Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3940887Z 2025-09-07T08:04:17.3940991Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3941329Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3941630Z return mod(*inputs) 2025-09-07T08:04:17.3941949Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3942296Z return self.model(input) 2025-09-07T08:04:17.3942621Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3942984Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3943133Z 2025-09-07T08:04:17.3943234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3943572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3943874Z return mod(*inputs) 2025-09-07T08:04:17.3944185Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3944590Z return self.model(input) 2025-09-07T08:04:17.3944920Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3945289Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3945430Z 2025-09-07T08:04:17.3945537Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3945867Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3946172Z return mod(*inputs) 2025-09-07T08:04:17.3946491Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3946857Z return self.model(input) 2025-09-07T08:04:17.3947212Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3947584Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3947738Z 2025-09-07T08:04:17.3947837Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3948176Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3948587Z return mod(*inputs) 2025-09-07T08:04:17.3948924Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3949272Z return self.model(input) 2025-09-07T08:04:17.3949607Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3949980Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3950126Z 2025-09-07T08:04:17.3950225Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3950572Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3950889Z return mod(*inputs) 2025-09-07T08:04:17.3951215Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3951568Z return self.model(input) 2025-09-07T08:04:17.3951895Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3952266Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3952418Z 2025-09-07T08:04:17.3952518Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3952857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3953163Z return mod(*inputs) 2025-09-07T08:04:17.3953483Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3953832Z return self.model(input) 2025-09-07T08:04:17.3954167Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3954540Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3954686Z 2025-09-07T08:04:17.3954784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3955128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3955437Z return mod(*inputs) 2025-09-07T08:04:17.3955758Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3956097Z return self.model(input) 2025-09-07T08:04:17.3956434Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3956813Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3956956Z 2025-09-07T08:04:17.3957066Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3957499Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3957860Z return mod(*inputs) 2025-09-07T08:04:17.3958191Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3958548Z return self.model(input) 2025-09-07T08:04:17.3958892Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3959260Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3959415Z 2025-09-07T08:04:17.3959518Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3959904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3960212Z return mod(*inputs) 2025-09-07T08:04:17.3960530Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3960866Z return self.model(input) 2025-09-07T08:04:17.3961206Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3961574Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3961716Z 2025-09-07T08:04:17.3961825Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3962167Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3962468Z return mod(*inputs) 2025-09-07T08:04:17.3962794Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3963147Z return self.model(input) 2025-09-07T08:04:17.3963478Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3963837Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3963985Z 2025-09-07T08:04:17.3964090Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3964433Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3964742Z return mod(*inputs) 2025-09-07T08:04:17.3965062Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3965404Z return self.model(input) 2025-09-07T08:04:17.3965734Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3966105Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3966243Z 2025-09-07T08:04:17.3966354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3966684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3966987Z return mod(*inputs) 2025-09-07T08:04:17.3967312Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3967662Z return self.model(input) 2025-09-07T08:04:17.3967994Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3968358Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3968508Z 2025-09-07T08:04:17.3968607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3968948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3969252Z return mod(*inputs) 2025-09-07T08:04:17.3969562Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3969909Z return self.model(input) 2025-09-07T08:04:17.3970235Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3970602Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3970800Z 2025-09-07T08:04:17.3970908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3971240Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3971547Z return mod(*inputs) 2025-09-07T08:04:17.3971866Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3972214Z return self.model(input) 2025-09-07T08:04:17.3972543Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3972923Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3973074Z 2025-09-07T08:04:17.3973172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3973514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3973822Z return mod(*inputs) 2025-09-07T08:04:17.3974130Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3974476Z return self.model(input) 2025-09-07T08:04:17.3974802Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3975163Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3975304Z 2025-09-07T08:04:17.3975411Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3975744Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3976049Z return mod(*inputs) 2025-09-07T08:04:17.3976365Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3976705Z return self.model(input) 2025-09-07T08:04:17.3977030Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3977401Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3977550Z 2025-09-07T08:04:17.3977649Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3977987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3978292Z return mod(*inputs) 2025-09-07T08:04:17.3978602Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3978946Z return self.model(input) 2025-09-07T08:04:17.3979279Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3979646Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3979789Z 2025-09-07T08:04:17.3979897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3980230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3980530Z return mod(*inputs) 2025-09-07T08:04:17.3980848Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3981190Z return self.model(input) 2025-09-07T08:04:17.3981513Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3981882Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3982030Z 2025-09-07T08:04:17.3982126Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3982468Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3982774Z return mod(*inputs) 2025-09-07T08:04:17.3983081Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3983452Z return self.model(input) 2025-09-07T08:04:17.3983821Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3984193Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3984336Z 2025-09-07T08:04:17.3984434Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3984771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3985081Z return mod(*inputs) 2025-09-07T08:04:17.3985400Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3985761Z return self.model(input) 2025-09-07T08:04:17.3986079Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3986441Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3986591Z 2025-09-07T08:04:17.3986696Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3987037Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3987338Z return mod(*inputs) 2025-09-07T08:04:17.3987655Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3988002Z return self.model(input) 2025-09-07T08:04:17.3988334Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3988703Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3988847Z 2025-09-07T08:04:17.3988945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3989285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3989589Z return mod(*inputs) 2025-09-07T08:04:17.3989909Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3990247Z return self.model(input) 2025-09-07T08:04:17.3990574Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3990942Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3991081Z 2025-09-07T08:04:17.3991187Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3991528Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3991828Z return mod(*inputs) 2025-09-07T08:04:17.3992150Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3992497Z return self.model(input) 2025-09-07T08:04:17.3992825Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3993192Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3993331Z 2025-09-07T08:04:17.3993428Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3993768Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3994077Z return mod(*inputs) 2025-09-07T08:04:17.3994392Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3994728Z return self.model(input) 2025-09-07T08:04:17.3995057Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3995422Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3995563Z 2025-09-07T08:04:17.3995672Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3996007Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3996369Z return mod(*inputs) 2025-09-07T08:04:17.3996698Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3997053Z return self.model(input) 2025-09-07T08:04:17.3997393Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.3997761Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.3997912Z 2025-09-07T08:04:17.3998013Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.3998357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.3998696Z return mod(*inputs) 2025-09-07T08:04:17.3999022Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.3999364Z return self.model(input) 2025-09-07T08:04:17.3999698Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4000069Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4000212Z 2025-09-07T08:04:17.4000318Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4000660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4000962Z return mod(*inputs) 2025-09-07T08:04:17.4001284Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4001632Z return self.model(input) 2025-09-07T08:04:17.4001966Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4002326Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4002474Z 2025-09-07T08:04:17.4002572Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4002916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4003223Z return mod(*inputs) 2025-09-07T08:04:17.4003548Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4003889Z return self.model(input) 2025-09-07T08:04:17.4004222Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4004596Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4004738Z 2025-09-07T08:04:17.4004845Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4005182Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4005492Z return mod(*inputs) 2025-09-07T08:04:17.4005818Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4006170Z return self.model(input) 2025-09-07T08:04:17.4006511Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4006867Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4007012Z 2025-09-07T08:04:17.4007108Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4007442Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4007738Z return mod(*inputs) 2025-09-07T08:04:17.4008042Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4008378Z return self.model(input) 2025-09-07T08:04:17.4008704Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4009067Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4009234Z 2025-09-07T08:04:17.4009371Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4009701Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4010009Z return mod(*inputs) 2025-09-07T08:04:17.4010326Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4010673Z return self.model(input) 2025-09-07T08:04:17.4010993Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4011364Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4011536Z 2025-09-07T08:04:17.4011636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4011980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4012287Z return mod(*inputs) 2025-09-07T08:04:17.4012599Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4012940Z return self.model(input) 2025-09-07T08:04:17.4013270Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4013639Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4013777Z 2025-09-07T08:04:17.4013882Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4014207Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4014511Z return mod(*inputs) 2025-09-07T08:04:17.4014826Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4015170Z return self.model(input) 2025-09-07T08:04:17.4015487Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4015857Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4016004Z 2025-09-07T08:04:17.4016100Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4016439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4016742Z return mod(*inputs) 2025-09-07T08:04:17.4017056Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4017400Z return self.model(input) 2025-09-07T08:04:17.4017728Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4018097Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4018243Z 2025-09-07T08:04:17.4018341Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4018683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4018990Z return mod(*inputs) 2025-09-07T08:04:17.4019313Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4019657Z return self.model(input) 2025-09-07T08:04:17.4019982Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4020351Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4020499Z 2025-09-07T08:04:17.4020597Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4020937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4021244Z return mod(*inputs) 2025-09-07T08:04:17.4021556Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4021895Z return self.model(input) 2025-09-07T08:04:17.4022273Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4022645Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4022787Z 2025-09-07T08:04:17.4022886Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4023232Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4023541Z return mod(*inputs) 2025-09-07T08:04:17.4023861Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4024204Z return self.model(input) 2025-09-07T08:04:17.4024555Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4024926Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4025079Z 2025-09-07T08:04:17.4025180Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4025526Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4025830Z return mod(*inputs) 2025-09-07T08:04:17.4026155Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4026503Z return self.model(input) 2025-09-07T08:04:17.4026837Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4027208Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4027357Z 2025-09-07T08:04:17.4027457Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4027804Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4028113Z return mod(*inputs) 2025-09-07T08:04:17.4028436Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4028785Z return self.model(input) 2025-09-07T08:04:17.4029118Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4029489Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4029634Z 2025-09-07T08:04:17.4029740Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4030084Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4030383Z return mod(*inputs) 2025-09-07T08:04:17.4030709Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4031055Z return self.model(input) 2025-09-07T08:04:17.4031388Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4031763Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4031910Z 2025-09-07T08:04:17.4032014Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4032359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4032670Z return mod(*inputs) 2025-09-07T08:04:17.4032995Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4033341Z return self.model(input) 2025-09-07T08:04:17.4033675Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4034049Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4034198Z 2025-09-07T08:04:17.4034308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4034654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4034961Z return mod(*inputs) 2025-09-07T08:04:17.4035339Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4035682Z return self.model(input) 2025-09-07T08:04:17.4036011Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4036371Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4036521Z 2025-09-07T08:04:17.4036619Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4036954Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4037255Z return mod(*inputs) 2025-09-07T08:04:17.4037592Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4037929Z return self.model(input) 2025-09-07T08:04:17.4038260Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4038630Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4038769Z 2025-09-07T08:04:17.4038878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4039215Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4039523Z return mod(*inputs) 2025-09-07T08:04:17.4039842Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4040183Z return self.model(input) 2025-09-07T08:04:17.4040511Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4040869Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4041018Z 2025-09-07T08:04:17.4041116Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4041458Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4041768Z return mod(*inputs) 2025-09-07T08:04:17.4042087Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4042423Z return self.model(input) 2025-09-07T08:04:17.4042750Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4043114Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4043253Z 2025-09-07T08:04:17.4043358Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4043684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4043989Z return mod(*inputs) 2025-09-07T08:04:17.4044307Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4044647Z return self.model(input) 2025-09-07T08:04:17.4044978Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4045336Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4045485Z 2025-09-07T08:04:17.4045585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4045927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4046232Z return mod(*inputs) 2025-09-07T08:04:17.4046543Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4046889Z return self.model(input) 2025-09-07T08:04:17.4047217Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4047584Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4047723Z 2025-09-07T08:04:17.4047829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4048222Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4048600Z return mod(*inputs) 2025-09-07T08:04:17.4048921Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4049270Z return self.model(input) 2025-09-07T08:04:17.4049595Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 564, in forward 2025-09-07T08:04:17.4049968Z out = x + self.conv_block(x) # add skip connections 2025-09-07T08:04:17.4050120Z 2025-09-07T08:04:17.4050260Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4050601Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4050907Z return mod(*inputs) 2025-09-07T08:04:17.4051216Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4051568Z return self.model(input) 2025-09-07T08:04:17.4051685Z 2025-09-07T08:04:17.4051783Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4052130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4052435Z return mod(*inputs) 2025-09-07T08:04:17.4052761Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4053120Z return self.model(input) 2025-09-07T08:04:17.4053226Z 2025-09-07T08:04:17.4053331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4053662Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4053949Z return mod(*inputs) 2025-09-07T08:04:17.4054263Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4054602Z return self.model(input) 2025-09-07T08:04:17.4054707Z 2025-09-07T08:04:17.4054812Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4055145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4055436Z return mod(*inputs) 2025-09-07T08:04:17.4055751Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4056084Z return self.model(input) 2025-09-07T08:04:17.4056189Z 2025-09-07T08:04:17.4056290Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4056616Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4056914Z return mod(*inputs) 2025-09-07T08:04:17.4057223Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4057557Z return self.model(input) 2025-09-07T08:04:17.4057666Z 2025-09-07T08:04:17.4057770Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4058088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4058385Z return mod(*inputs) 2025-09-07T08:04:17.4058698Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4059032Z return self.model(input) 2025-09-07T08:04:17.4059137Z 2025-09-07T08:04:17.4059234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4059566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4059867Z return mod(*inputs) 2025-09-07T08:04:17.4060176Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4060506Z return self.model(input) 2025-09-07T08:04:17.4060656Z 2025-09-07T08:04:17.4060807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:17.4061141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:17.4061441Z return mod(*inputs) 2025-09-07T08:04:17.4061754Z File "/torchbench/torchbenchmark/models/pytorch_CycleGAN_and_pix2pix/models/networks.py", line 496, in forward 2025-09-07T08:04:17.4062083Z return self.model(input) 2025-09-07T08:04:17.4062201Z 2025-09-07T08:04:17.4062285Z cudagraph partition due to non gpu ops 2025-09-07T08:04:27.1833528Z pass 2025-09-07T08:04:27.1833929Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:28.8127024Z /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. 2025-09-07T08:04:28.8128473Z import pynvml # type: ignore[import] 2025-09-07T08:04:30.5185654Z 2025-09-07T08:04:30.9991202Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:30.9991590Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:30.9991848Z cpu eval pytorch_stargan 2025-09-07T08:04:32.6387117Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:32.6927414Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:32.7456963Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:39.2218659Z cudagraph partition due to non gpu ops 2025-09-07T08:04:39.2219016Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2219412Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2219752Z return mod(*inputs) 2025-09-07T08:04:39.2220084Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 92, in forward 2025-09-07T08:04:39.2220403Z c = c.repeat(1, 1, x.size(2), x.size(3)) 2025-09-07T08:04:39.2220536Z 2025-09-07T08:04:39.2220652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2220988Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2221326Z return mod(*inputs) 2025-09-07T08:04:39.2221611Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 93, in forward 2025-09-07T08:04:39.2221935Z x = torch.cat([x, c], dim=1) 2025-09-07T08:04:39.2222067Z 2025-09-07T08:04:39.2222179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2222523Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2222838Z return mod(*inputs) 2025-09-07T08:04:39.2223188Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2223489Z return self.main(x) 2025-09-07T08:04:39.2223588Z 2025-09-07T08:04:39.2223697Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2224040Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2224354Z return mod(*inputs) 2025-09-07T08:04:39.2224623Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2224914Z return self.main(x) 2025-09-07T08:04:39.2225010Z 2025-09-07T08:04:39.2225110Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2225459Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2225769Z return mod(*inputs) 2025-09-07T08:04:39.2226038Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2226325Z return self.main(x) 2025-09-07T08:04:39.2226738Z 2025-09-07T08:04:39.2228748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2229117Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2229433Z return mod(*inputs) 2025-09-07T08:04:39.2229702Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2229988Z return self.main(x) 2025-09-07T08:04:39.2230092Z 2025-09-07T08:04:39.2230191Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2230529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2230902Z return mod(*inputs) 2025-09-07T08:04:39.2231158Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2231450Z return self.main(x) 2025-09-07T08:04:39.2231553Z 2025-09-07T08:04:39.2231649Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2231997Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2232305Z return mod(*inputs) 2025-09-07T08:04:39.2232565Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2232853Z return self.main(x) 2025-09-07T08:04:39.2232956Z 2025-09-07T08:04:39.2233053Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2233391Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2233694Z return mod(*inputs) 2025-09-07T08:04:39.2233971Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2234261Z return self.main(x) 2025-09-07T08:04:39.2234355Z 2025-09-07T08:04:39.2234458Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2234795Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2235092Z return mod(*inputs) 2025-09-07T08:04:39.2235358Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2235651Z return self.main(x) 2025-09-07T08:04:39.2235746Z 2025-09-07T08:04:39.2235852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2236180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2236484Z return mod(*inputs) 2025-09-07T08:04:39.2236750Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2237041Z return self.main(x) 2025-09-07T08:04:39.2237134Z 2025-09-07T08:04:39.2237240Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2237566Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2237876Z return mod(*inputs) 2025-09-07T08:04:39.2238145Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2238433Z return self.main(x) 2025-09-07T08:04:39.2238529Z 2025-09-07T08:04:39.2238626Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2238962Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2239268Z return mod(*inputs) 2025-09-07T08:04:39.2239534Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2239813Z return self.main(x) 2025-09-07T08:04:39.2240070Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2240362Z return x + self.main(x) 2025-09-07T08:04:39.2240471Z 2025-09-07T08:04:39.2240576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2240913Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2241300Z return mod(*inputs) 2025-09-07T08:04:39.2241562Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2241854Z return self.main(x) 2025-09-07T08:04:39.2242116Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2242404Z return x + self.main(x) 2025-09-07T08:04:39.2242521Z 2025-09-07T08:04:39.2242618Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2242956Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2243310Z return mod(*inputs) 2025-09-07T08:04:39.2243578Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2243865Z return self.main(x) 2025-09-07T08:04:39.2244134Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2244429Z return x + self.main(x) 2025-09-07T08:04:39.2244540Z 2025-09-07T08:04:39.2244645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2244977Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2245287Z return mod(*inputs) 2025-09-07T08:04:39.2245555Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2245844Z return self.main(x) 2025-09-07T08:04:39.2246112Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2246403Z return x + self.main(x) 2025-09-07T08:04:39.2246519Z 2025-09-07T08:04:39.2246618Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2246959Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2247268Z return mod(*inputs) 2025-09-07T08:04:39.2247527Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2247826Z return self.main(x) 2025-09-07T08:04:39.2248090Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2248380Z return x + self.main(x) 2025-09-07T08:04:39.2248565Z 2025-09-07T08:04:39.2248666Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2249013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2249325Z return mod(*inputs) 2025-09-07T08:04:39.2249598Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2249893Z return self.main(x) 2025-09-07T08:04:39.2250151Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2250444Z return x + self.main(x) 2025-09-07T08:04:39.2250552Z 2025-09-07T08:04:39.2250662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2251016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2251319Z return mod(*inputs) 2025-09-07T08:04:39.2251585Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2251883Z return self.main(x) 2025-09-07T08:04:39.2252149Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2252433Z return x + self.main(x) 2025-09-07T08:04:39.2252548Z 2025-09-07T08:04:39.2252647Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2252989Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2253298Z return mod(*inputs) 2025-09-07T08:04:39.2253560Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2253846Z return self.main(x) 2025-09-07T08:04:39.2254195Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2254485Z return x + self.main(x) 2025-09-07T08:04:39.2254593Z 2025-09-07T08:04:39.2254708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2255032Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2255333Z return mod(*inputs) 2025-09-07T08:04:39.2255593Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2255878Z return self.main(x) 2025-09-07T08:04:39.2256140Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2256443Z return x + self.main(x) 2025-09-07T08:04:39.2256555Z 2025-09-07T08:04:39.2256652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2256980Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2257283Z return mod(*inputs) 2025-09-07T08:04:39.2257534Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2257816Z return self.main(x) 2025-09-07T08:04:39.2258075Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2258359Z return x + self.main(x) 2025-09-07T08:04:39.2258464Z 2025-09-07T08:04:39.2258568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2258891Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2259194Z return mod(*inputs) 2025-09-07T08:04:39.2259457Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2259736Z return self.main(x) 2025-09-07T08:04:39.2259984Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2260270Z return x + self.main(x) 2025-09-07T08:04:39.2260384Z 2025-09-07T08:04:39.2260484Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2260811Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2261103Z return mod(*inputs) 2025-09-07T08:04:39.2261361Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2261640Z return self.main(x) 2025-09-07T08:04:39.2261898Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2262180Z return x + self.main(x) 2025-09-07T08:04:39.2262284Z 2025-09-07T08:04:39.2262381Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2262712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2263011Z return mod(*inputs) 2025-09-07T08:04:39.2263266Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2263543Z return self.main(x) 2025-09-07T08:04:39.2263803Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2264081Z return x + self.main(x) 2025-09-07T08:04:39.2264186Z 2025-09-07T08:04:39.2264292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2264623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2264912Z return mod(*inputs) 2025-09-07T08:04:39.2265173Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2265487Z return self.main(x) 2025-09-07T08:04:39.2265748Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2266024Z return x + self.main(x) 2025-09-07T08:04:39.2266127Z 2025-09-07T08:04:39.2266222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2266602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2266903Z return mod(*inputs) 2025-09-07T08:04:39.2267164Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2267444Z return self.main(x) 2025-09-07T08:04:39.2267692Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2267971Z return x + self.main(x) 2025-09-07T08:04:39.2268074Z 2025-09-07T08:04:39.2268179Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2268515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2268828Z return mod(*inputs) 2025-09-07T08:04:39.2269092Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2269377Z return self.main(x) 2025-09-07T08:04:39.2269634Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2269912Z return x + self.main(x) 2025-09-07T08:04:39.2270026Z 2025-09-07T08:04:39.2270124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2270455Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2270758Z return mod(*inputs) 2025-09-07T08:04:39.2271016Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2271290Z return self.main(x) 2025-09-07T08:04:39.2271547Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2271830Z return x + self.main(x) 2025-09-07T08:04:39.2271934Z 2025-09-07T08:04:39.2272037Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2272359Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2272659Z return mod(*inputs) 2025-09-07T08:04:39.2272917Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2273199Z return self.main(x) 2025-09-07T08:04:39.2273454Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2273728Z return x + self.main(x) 2025-09-07T08:04:39.2273836Z 2025-09-07T08:04:39.2273934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2274264Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2274563Z return mod(*inputs) 2025-09-07T08:04:39.2274817Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2275098Z return self.main(x) 2025-09-07T08:04:39.2275363Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2275645Z return x + self.main(x) 2025-09-07T08:04:39.2275751Z 2025-09-07T08:04:39.2275853Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2276188Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2276486Z return mod(*inputs) 2025-09-07T08:04:39.2276748Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2277031Z return self.main(x) 2025-09-07T08:04:39.2277281Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2277566Z return x + self.main(x) 2025-09-07T08:04:39.2277680Z 2025-09-07T08:04:39.2277779Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2278116Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2278410Z return mod(*inputs) 2025-09-07T08:04:39.2278670Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2278997Z return self.main(x) 2025-09-07T08:04:39.2279260Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2279544Z return x + self.main(x) 2025-09-07T08:04:39.2279648Z 2025-09-07T08:04:39.2279744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2280083Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2280382Z return mod(*inputs) 2025-09-07T08:04:39.2280641Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2280921Z return self.main(x) 2025-09-07T08:04:39.2281196Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2281480Z return x + self.main(x) 2025-09-07T08:04:39.2281583Z 2025-09-07T08:04:39.2281689Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2282018Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2282320Z return mod(*inputs) 2025-09-07T08:04:39.2282579Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2282865Z return self.main(x) 2025-09-07T08:04:39.2283122Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2283398Z return x + self.main(x) 2025-09-07T08:04:39.2283509Z 2025-09-07T08:04:39.2283608Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2283937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2284241Z return mod(*inputs) 2025-09-07T08:04:39.2284492Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2284776Z return self.main(x) 2025-09-07T08:04:39.2285037Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2285322Z return x + self.main(x) 2025-09-07T08:04:39.2285426Z 2025-09-07T08:04:39.2285530Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2285855Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2310203Z return mod(*inputs) 2025-09-07T08:04:39.2310552Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2310871Z return self.main(x) 2025-09-07T08:04:39.2311147Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2311456Z return x + self.main(x) 2025-09-07T08:04:39.2311563Z 2025-09-07T08:04:39.2311688Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2312054Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2312366Z return mod(*inputs) 2025-09-07T08:04:39.2312650Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2312941Z return self.main(x) 2025-09-07T08:04:39.2313208Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2313489Z return x + self.main(x) 2025-09-07T08:04:39.2313607Z 2025-09-07T08:04:39.2313708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2314056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2314366Z return mod(*inputs) 2025-09-07T08:04:39.2314637Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2314922Z return self.main(x) 2025-09-07T08:04:39.2315190Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2315485Z return x + self.main(x) 2025-09-07T08:04:39.2315673Z 2025-09-07T08:04:39.2315840Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2316175Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2316489Z return mod(*inputs) 2025-09-07T08:04:39.2316757Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2317043Z return self.main(x) 2025-09-07T08:04:39.2317305Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2317586Z return x + self.main(x) 2025-09-07T08:04:39.2317698Z 2025-09-07T08:04:39.2317797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2318171Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2318477Z return mod(*inputs) 2025-09-07T08:04:39.2318738Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2319028Z return self.main(x) 2025-09-07T08:04:39.2319298Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2319585Z return x + self.main(x) 2025-09-07T08:04:39.2319690Z 2025-09-07T08:04:39.2319791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2320129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2320436Z return mod(*inputs) 2025-09-07T08:04:39.2320702Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2320991Z return self.main(x) 2025-09-07T08:04:39.2321254Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2321546Z return x + self.main(x) 2025-09-07T08:04:39.2321661Z 2025-09-07T08:04:39.2321762Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2322105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2322405Z return mod(*inputs) 2025-09-07T08:04:39.2322675Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2322967Z return self.main(x) 2025-09-07T08:04:39.2323236Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2323529Z return x + self.main(x) 2025-09-07T08:04:39.2323637Z 2025-09-07T08:04:39.2323736Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2324080Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2324392Z return mod(*inputs) 2025-09-07T08:04:39.2324657Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2324935Z return self.main(x) 2025-09-07T08:04:39.2325204Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2325499Z return x + self.main(x) 2025-09-07T08:04:39.2325606Z 2025-09-07T08:04:39.2325713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2326044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2326355Z return mod(*inputs) 2025-09-07T08:04:39.2326622Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2326911Z return self.main(x) 2025-09-07T08:04:39.2327179Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2327461Z return x + self.main(x) 2025-09-07T08:04:39.2327581Z 2025-09-07T08:04:39.2327679Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2328021Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2328327Z return mod(*inputs) 2025-09-07T08:04:39.2328627Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2328918Z return self.main(x) 2025-09-07T08:04:39.2329177Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2329466Z return x + self.main(x) 2025-09-07T08:04:39.2329567Z 2025-09-07T08:04:39.2329673Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2329994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2330295Z return mod(*inputs) 2025-09-07T08:04:39.2330554Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2330862Z return self.main(x) 2025-09-07T08:04:39.2331112Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2331393Z return x + self.main(x) 2025-09-07T08:04:39.2331503Z 2025-09-07T08:04:39.2331607Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2331941Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2332243Z return mod(*inputs) 2025-09-07T08:04:39.2332494Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2332780Z return self.main(x) 2025-09-07T08:04:39.2333039Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 20, in forward 2025-09-07T08:04:39.2333320Z return x + self.main(x) 2025-09-07T08:04:39.2333423Z 2025-09-07T08:04:39.2333521Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2333856Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2334159Z return mod(*inputs) 2025-09-07T08:04:39.2334416Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2334695Z return self.main(x) 2025-09-07T08:04:39.2334803Z 2025-09-07T08:04:39.2334902Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2335238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2335538Z return mod(*inputs) 2025-09-07T08:04:39.2335800Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2336078Z return self.main(x) 2025-09-07T08:04:39.2336180Z 2025-09-07T08:04:39.2336275Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2336613Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2336917Z return mod(*inputs) 2025-09-07T08:04:39.2337167Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2337450Z return self.main(x) 2025-09-07T08:04:39.2337551Z 2025-09-07T08:04:39.2337648Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2338013Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2338318Z return mod(*inputs) 2025-09-07T08:04:39.2338570Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2338851Z return self.main(x) 2025-09-07T08:04:39.2338954Z 2025-09-07T08:04:39.2339052Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2339388Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2339689Z return mod(*inputs) 2025-09-07T08:04:39.2339948Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2340239Z return self.main(x) 2025-09-07T08:04:39.2340333Z 2025-09-07T08:04:39.2340441Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:04:39.2340829Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:04:39.2341139Z return mod(*inputs) 2025-09-07T08:04:39.2341406Z File "/torchbench/torchbenchmark/models/pytorch_stargan/model.py", line 94, in forward 2025-09-07T08:04:39.2341696Z return self.main(x) 2025-09-07T08:04:39.2341790Z 2025-09-07T08:04:39.2341878Z cudagraph partition due to non gpu ops 2025-09-07T08:04:52.1777657Z pass 2025-09-07T08:04:52.1778080Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:04:53.9807855Z /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. 2025-09-07T08:04:53.9809567Z import pynvml # type: ignore[import] 2025-09-07T08:04:55.6889842Z 2025-09-07T08:04:56.3147235Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:56.3147606Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:04:56.3147863Z cpu eval pytorch_unet 2025-09-07T08:05:26.8717089Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:27.4116185Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:27.9502809Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:34.3033699Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3034138Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3034498Z return mod(*inputs) 2025-09-07T08:05:34.3034829Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 26, in forward 2025-09-07T08:05:34.3035175Z x1 = self.inc(x) 2025-09-07T08:05:34.3035500Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3035848Z return self.double_conv(x) 2025-09-07T08:05:34.3035965Z 2025-09-07T08:05:34.3036077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3036423Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3036735Z return mod(*inputs) 2025-09-07T08:05:34.3037047Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 35, in forward 2025-09-07T08:05:34.3037381Z logits = self.outc(x) 2025-09-07T08:05:34.3037691Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 77, in forward 2025-09-07T08:05:34.3038018Z return self.conv(x) 2025-09-07T08:05:34.3038125Z 2025-09-07T08:05:34.3038224Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3038569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3038880Z return mod(*inputs) 2025-09-07T08:05:34.3039175Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 26, in forward 2025-09-07T08:05:34.3039499Z x1 = self.inc(x) 2025-09-07T08:05:34.3039883Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3040215Z return self.double_conv(x) 2025-09-07T08:05:34.3040326Z 2025-09-07T08:05:34.3040431Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3040763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3041063Z return mod(*inputs) 2025-09-07T08:05:34.3041365Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 26, in forward 2025-09-07T08:05:34.3041685Z x1 = self.inc(x) 2025-09-07T08:05:34.3042323Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3042727Z return self.double_conv(x) 2025-09-07T08:05:34.3042845Z 2025-09-07T08:05:34.3042942Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3043278Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3043578Z return mod(*inputs) 2025-09-07T08:05:34.3043875Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 26, in forward 2025-09-07T08:05:34.3044204Z x1 = self.inc(x) 2025-09-07T08:05:34.3044504Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3044881Z return self.double_conv(x) 2025-09-07T08:05:34.3044988Z 2025-09-07T08:05:34.3045085Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3045415Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3045717Z return mod(*inputs) 2025-09-07T08:05:34.3046019Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 26, in forward 2025-09-07T08:05:34.3046337Z x1 = self.inc(x) 2025-09-07T08:05:34.3046627Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3046952Z return self.double_conv(x) 2025-09-07T08:05:34.3047059Z 2025-09-07T08:05:34.3047166Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3047497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3047787Z return mod(*inputs) 2025-09-07T08:05:34.3048090Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 27, in forward 2025-09-07T08:05:34.3048410Z x2 = self.down1(x1) 2025-09-07T08:05:34.3048797Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3049137Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3049253Z 2025-09-07T08:05:34.3049349Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3049683Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3049986Z return mod(*inputs) 2025-09-07T08:05:34.3050293Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 27, in forward 2025-09-07T08:05:34.3050614Z x2 = self.down1(x1) 2025-09-07T08:05:34.3050920Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3051260Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3051582Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3051912Z return self.double_conv(x) 2025-09-07T08:05:34.3052021Z 2025-09-07T08:05:34.3052116Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3052447Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3052743Z return mod(*inputs) 2025-09-07T08:05:34.3053043Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 27, in forward 2025-09-07T08:05:34.3053361Z x2 = self.down1(x1) 2025-09-07T08:05:34.3053660Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3053988Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3054315Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3054649Z return self.double_conv(x) 2025-09-07T08:05:34.3054758Z 2025-09-07T08:05:34.3054852Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3055244Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3055571Z return mod(*inputs) 2025-09-07T08:05:34.3055876Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 27, in forward 2025-09-07T08:05:34.3056190Z x2 = self.down1(x1) 2025-09-07T08:05:34.3056492Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3056817Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3057142Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3057470Z return self.double_conv(x) 2025-09-07T08:05:34.3057613Z 2025-09-07T08:05:34.3057707Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3058042Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3058342Z return mod(*inputs) 2025-09-07T08:05:34.3058648Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 27, in forward 2025-09-07T08:05:34.3058965Z x2 = self.down1(x1) 2025-09-07T08:05:34.3059269Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3059598Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3059912Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3060238Z return self.double_conv(x) 2025-09-07T08:05:34.3060343Z 2025-09-07T08:05:34.3060437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3060772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3061072Z return mod(*inputs) 2025-09-07T08:05:34.3061370Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 28, in forward 2025-09-07T08:05:34.3061685Z x3 = self.down2(x2) 2025-09-07T08:05:34.3061990Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3062318Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3062425Z 2025-09-07T08:05:34.3062528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3062857Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3063146Z return mod(*inputs) 2025-09-07T08:05:34.3063447Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 28, in forward 2025-09-07T08:05:34.3063770Z x3 = self.down2(x2) 2025-09-07T08:05:34.3064066Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3064388Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3064702Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3065037Z return self.double_conv(x) 2025-09-07T08:05:34.3065144Z 2025-09-07T08:05:34.3065246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3065571Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3065859Z return mod(*inputs) 2025-09-07T08:05:34.3066158Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 28, in forward 2025-09-07T08:05:34.3066479Z x3 = self.down2(x2) 2025-09-07T08:05:34.3066774Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3067093Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3067405Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3067735Z return self.double_conv(x) 2025-09-07T08:05:34.3067855Z 2025-09-07T08:05:34.3067952Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3068356Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3068657Z return mod(*inputs) 2025-09-07T08:05:34.3068951Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 28, in forward 2025-09-07T08:05:34.3069274Z x3 = self.down2(x2) 2025-09-07T08:05:34.3069573Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3069904Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3070210Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3070558Z return self.double_conv(x) 2025-09-07T08:05:34.3070673Z 2025-09-07T08:05:34.3070766Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3071102Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3071402Z return mod(*inputs) 2025-09-07T08:05:34.3071692Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 28, in forward 2025-09-07T08:05:34.3072015Z x3 = self.down2(x2) 2025-09-07T08:05:34.3072317Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3072644Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3072951Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3073277Z return self.double_conv(x) 2025-09-07T08:05:34.3073387Z 2025-09-07T08:05:34.3073483Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3073815Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3074115Z return mod(*inputs) 2025-09-07T08:05:34.3074409Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 29, in forward 2025-09-07T08:05:34.3074736Z x4 = self.down3(x3) 2025-09-07T08:05:34.3075036Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3075368Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3075476Z 2025-09-07T08:05:34.3075574Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3075911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3076214Z return mod(*inputs) 2025-09-07T08:05:34.3076515Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 29, in forward 2025-09-07T08:05:34.3076843Z x4 = self.down3(x3) 2025-09-07T08:05:34.3077141Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3077467Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3077785Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3078120Z return self.double_conv(x) 2025-09-07T08:05:34.3078227Z 2025-09-07T08:05:34.3078323Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3078660Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3078958Z return mod(*inputs) 2025-09-07T08:05:34.3079262Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 29, in forward 2025-09-07T08:05:34.3079585Z x4 = self.down3(x3) 2025-09-07T08:05:34.3079895Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3080228Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3080544Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3080889Z return self.double_conv(x) 2025-09-07T08:05:34.3082337Z 2025-09-07T08:05:34.3082463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3082791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3083097Z return mod(*inputs) 2025-09-07T08:05:34.3083401Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 29, in forward 2025-09-07T08:05:34.3083727Z x4 = self.down3(x3) 2025-09-07T08:05:34.3084024Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3084358Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3084700Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3085031Z return self.double_conv(x) 2025-09-07T08:05:34.3085142Z 2025-09-07T08:05:34.3085246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3085581Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3085883Z return mod(*inputs) 2025-09-07T08:05:34.3086192Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 29, in forward 2025-09-07T08:05:34.3086516Z x4 = self.down3(x3) 2025-09-07T08:05:34.3086812Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3087143Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3087459Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3087791Z return self.double_conv(x) 2025-09-07T08:05:34.3087897Z 2025-09-07T08:05:34.3088000Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3088325Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3088630Z return mod(*inputs) 2025-09-07T08:05:34.3088940Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 30, in forward 2025-09-07T08:05:34.3089270Z x5 = self.down4(x4) 2025-09-07T08:05:34.3089566Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3089896Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3090010Z 2025-09-07T08:05:34.3090106Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3090437Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3090730Z return mod(*inputs) 2025-09-07T08:05:34.3091043Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 30, in forward 2025-09-07T08:05:34.3091363Z x5 = self.down4(x4) 2025-09-07T08:05:34.3091665Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3091999Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3092314Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3092648Z return self.double_conv(x) 2025-09-07T08:05:34.3092767Z 2025-09-07T08:05:34.3092864Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3093201Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3093496Z return mod(*inputs) 2025-09-07T08:05:34.3093801Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 30, in forward 2025-09-07T08:05:34.3094124Z x5 = self.down4(x4) 2025-09-07T08:05:34.3094434Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3094761Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3095101Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3095448Z return self.double_conv(x) 2025-09-07T08:05:34.3095561Z 2025-09-07T08:05:34.3095657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3095987Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3096274Z return mod(*inputs) 2025-09-07T08:05:34.3096574Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 30, in forward 2025-09-07T08:05:34.3096892Z x5 = self.down4(x4) 2025-09-07T08:05:34.3097193Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3097533Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3097842Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3098174Z return self.double_conv(x) 2025-09-07T08:05:34.3098290Z 2025-09-07T08:05:34.3098389Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3098720Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3099011Z return mod(*inputs) 2025-09-07T08:05:34.3099312Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 30, in forward 2025-09-07T08:05:34.3099637Z x5 = self.down4(x4) 2025-09-07T08:05:34.3099945Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 38, in forward 2025-09-07T08:05:34.3100273Z return self.maxpool_conv(x) 2025-09-07T08:05:34.3100584Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3100908Z return self.double_conv(x) 2025-09-07T08:05:34.3101022Z 2025-09-07T08:05:34.3101101Z cudagraph partition due to non gpu ops 2025-09-07T08:05:34.3101328Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3101658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3101955Z return mod(*inputs) 2025-09-07T08:05:34.3102256Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 31, in forward 2025-09-07T08:05:34.3102585Z x = self.up1(x5, x4) 2025-09-07T08:05:34.3102897Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 63, in forward 2025-09-07T08:05:34.3103293Z x1 = F.pad(x1, [diffX // 2, diffX - diffX // 2, diffY // 2, diffY - diffY // 2]) 2025-09-07T08:05:34.3103681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:05:34.3104022Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:05:34.3104171Z 2025-09-07T08:05:34.3104278Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3104621Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3104932Z return mod(*inputs) 2025-09-07T08:05:34.3105242Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 31, in forward 2025-09-07T08:05:34.3105581Z x = self.up1(x5, x4) 2025-09-07T08:05:34.3105902Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 67, in forward 2025-09-07T08:05:34.3106240Z x = torch.cat([x2, x1], dim=1) 2025-09-07T08:05:34.3106371Z 2025-09-07T08:05:34.3106467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3106814Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3107134Z return mod(*inputs) 2025-09-07T08:05:34.3107430Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 31, in forward 2025-09-07T08:05:34.3107756Z x = self.up1(x5, x4) 2025-09-07T08:05:34.3108149Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3108478Z return self.conv(x) 2025-09-07T08:05:34.3108779Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3109107Z return self.double_conv(x) 2025-09-07T08:05:34.3109221Z 2025-09-07T08:05:34.3109318Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3109650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3109955Z return mod(*inputs) 2025-09-07T08:05:34.3110251Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 31, in forward 2025-09-07T08:05:34.3110597Z x = self.up1(x5, x4) 2025-09-07T08:05:34.3110909Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3111238Z return self.conv(x) 2025-09-07T08:05:34.3111544Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3111866Z return self.double_conv(x) 2025-09-07T08:05:34.3111982Z 2025-09-07T08:05:34.3112077Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3112409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3112706Z return mod(*inputs) 2025-09-07T08:05:34.3113000Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 31, in forward 2025-09-07T08:05:34.3113327Z x = self.up1(x5, x4) 2025-09-07T08:05:34.3113639Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3113962Z return self.conv(x) 2025-09-07T08:05:34.3114264Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3114587Z return self.double_conv(x) 2025-09-07T08:05:34.3114702Z 2025-09-07T08:05:34.3114796Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3115128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3115424Z return mod(*inputs) 2025-09-07T08:05:34.3115714Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 31, in forward 2025-09-07T08:05:34.3116036Z x = self.up1(x5, x4) 2025-09-07T08:05:34.3116338Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3116665Z return self.conv(x) 2025-09-07T08:05:34.3116963Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3117284Z return self.double_conv(x) 2025-09-07T08:05:34.3117397Z 2025-09-07T08:05:34.3117478Z cudagraph partition due to non gpu ops 2025-09-07T08:05:34.3117712Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3118044Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3118332Z return mod(*inputs) 2025-09-07T08:05:34.3118633Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 32, in forward 2025-09-07T08:05:34.3118959Z x = self.up2(x, x3) 2025-09-07T08:05:34.3119261Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 63, in forward 2025-09-07T08:05:34.3119651Z x1 = F.pad(x1, [diffX // 2, diffX - diffX // 2, diffY // 2, diffY - diffY // 2]) 2025-09-07T08:05:34.3120014Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:05:34.3120346Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:05:34.3120496Z 2025-09-07T08:05:34.3120594Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3120984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3121282Z return mod(*inputs) 2025-09-07T08:05:34.3121595Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 32, in forward 2025-09-07T08:05:34.3121927Z x = self.up2(x, x3) 2025-09-07T08:05:34.3122236Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 67, in forward 2025-09-07T08:05:34.3122579Z x = torch.cat([x2, x1], dim=1) 2025-09-07T08:05:34.3122699Z 2025-09-07T08:05:34.3122795Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3123148Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3123448Z return mod(*inputs) 2025-09-07T08:05:34.3123750Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 32, in forward 2025-09-07T08:05:34.3124067Z x = self.up2(x, x3) 2025-09-07T08:05:34.3124374Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3124703Z return self.conv(x) 2025-09-07T08:05:34.3125003Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3125337Z return self.double_conv(x) 2025-09-07T08:05:34.3125445Z 2025-09-07T08:05:34.3125540Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3125874Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3126177Z return mod(*inputs) 2025-09-07T08:05:34.3126475Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 32, in forward 2025-09-07T08:05:34.3126795Z x = self.up2(x, x3) 2025-09-07T08:05:34.3127100Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3127431Z return self.conv(x) 2025-09-07T08:05:34.3127736Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3128063Z return self.double_conv(x) 2025-09-07T08:05:34.3128171Z 2025-09-07T08:05:34.3128268Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3128598Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3128901Z return mod(*inputs) 2025-09-07T08:05:34.3129203Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 32, in forward 2025-09-07T08:05:34.3129521Z x = self.up2(x, x3) 2025-09-07T08:05:34.3129823Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3130149Z return self.conv(x) 2025-09-07T08:05:34.3130452Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3130783Z return self.double_conv(x) 2025-09-07T08:05:34.3130891Z 2025-09-07T08:05:34.3130986Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3131321Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3131617Z return mod(*inputs) 2025-09-07T08:05:34.3131919Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 32, in forward 2025-09-07T08:05:34.3132240Z x = self.up2(x, x3) 2025-09-07T08:05:34.3132544Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3132873Z return self.conv(x) 2025-09-07T08:05:34.3133186Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3133521Z return self.double_conv(x) 2025-09-07T08:05:34.3133647Z 2025-09-07T08:05:34.3133774Z cudagraph partition due to non gpu ops 2025-09-07T08:05:34.3134010Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3134379Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3134683Z return mod(*inputs) 2025-09-07T08:05:34.3134978Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 33, in forward 2025-09-07T08:05:34.3135301Z x = self.up3(x, x2) 2025-09-07T08:05:34.3135607Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 63, in forward 2025-09-07T08:05:34.3135999Z x1 = F.pad(x1, [diffX // 2, diffX - diffX // 2, diffY // 2, diffY - diffY // 2]) 2025-09-07T08:05:34.3136378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:05:34.3136704Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:05:34.3136854Z 2025-09-07T08:05:34.3136955Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3137289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3137594Z return mod(*inputs) 2025-09-07T08:05:34.3137888Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 33, in forward 2025-09-07T08:05:34.3138213Z x = self.up3(x, x2) 2025-09-07T08:05:34.3138517Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 67, in forward 2025-09-07T08:05:34.3138848Z x = torch.cat([x2, x1], dim=1) 2025-09-07T08:05:34.3138965Z 2025-09-07T08:05:34.3139069Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3139392Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3139687Z return mod(*inputs) 2025-09-07T08:05:34.3139989Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 33, in forward 2025-09-07T08:05:34.3140316Z x = self.up3(x, x2) 2025-09-07T08:05:34.3140605Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3140930Z return self.conv(x) 2025-09-07T08:05:34.3141232Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3141557Z return self.double_conv(x) 2025-09-07T08:05:34.3141666Z 2025-09-07T08:05:34.3141766Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3142088Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3142387Z return mod(*inputs) 2025-09-07T08:05:34.3142684Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 33, in forward 2025-09-07T08:05:34.3143005Z x = self.up3(x, x2) 2025-09-07T08:05:34.3143299Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3143624Z return self.conv(x) 2025-09-07T08:05:34.3143920Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3144252Z return self.double_conv(x) 2025-09-07T08:05:34.3144357Z 2025-09-07T08:05:34.3144460Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3144786Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3145084Z return mod(*inputs) 2025-09-07T08:05:34.3145383Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 33, in forward 2025-09-07T08:05:34.3145710Z x = self.up3(x, x2) 2025-09-07T08:05:34.3146001Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3146326Z return self.conv(x) 2025-09-07T08:05:34.3146671Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3147006Z return self.double_conv(x) 2025-09-07T08:05:34.3147111Z 2025-09-07T08:05:34.3147212Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3147536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3147835Z return mod(*inputs) 2025-09-07T08:05:34.3148134Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 33, in forward 2025-09-07T08:05:34.3148499Z x = self.up3(x, x2) 2025-09-07T08:05:34.3148848Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3149176Z return self.conv(x) 2025-09-07T08:05:34.3149483Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3149821Z return self.double_conv(x) 2025-09-07T08:05:34.3149934Z 2025-09-07T08:05:34.3150021Z cudagraph partition due to non gpu ops 2025-09-07T08:05:34.3150248Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3150588Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3150895Z return mod(*inputs) 2025-09-07T08:05:34.3151199Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 34, in forward 2025-09-07T08:05:34.3151517Z x = self.up4(x, x1) 2025-09-07T08:05:34.3151824Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 63, in forward 2025-09-07T08:05:34.3152215Z x1 = F.pad(x1, [diffX // 2, diffX - diffX // 2, diffY // 2, diffY - diffY // 2]) 2025-09-07T08:05:34.3152583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/functional.py", line 5294, in pad 2025-09-07T08:05:34.3152923Z return torch._C._nn.pad(input, pad, mode, value) 2025-09-07T08:05:34.3153073Z 2025-09-07T08:05:34.3153169Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3153506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3153804Z return mod(*inputs) 2025-09-07T08:05:34.3154111Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 34, in forward 2025-09-07T08:05:34.3154432Z x = self.up4(x, x1) 2025-09-07T08:05:34.3154735Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 67, in forward 2025-09-07T08:05:34.3155071Z x = torch.cat([x2, x1], dim=1) 2025-09-07T08:05:34.3155191Z 2025-09-07T08:05:34.3155297Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3155634Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3155931Z return mod(*inputs) 2025-09-07T08:05:34.3156241Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 34, in forward 2025-09-07T08:05:34.3156562Z x = self.up4(x, x1) 2025-09-07T08:05:34.3156862Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3157175Z return self.conv(x) 2025-09-07T08:05:34.3157481Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3157810Z return self.double_conv(x) 2025-09-07T08:05:34.3157920Z 2025-09-07T08:05:34.3158021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3158355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3158649Z return mod(*inputs) 2025-09-07T08:05:34.3158951Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 34, in forward 2025-09-07T08:05:34.3159276Z x = self.up4(x, x1) 2025-09-07T08:05:34.3159650Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3159967Z return self.conv(x) 2025-09-07T08:05:34.3160268Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3160596Z return self.double_conv(x) 2025-09-07T08:05:34.3160704Z 2025-09-07T08:05:34.3160808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3161140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3161433Z return mod(*inputs) 2025-09-07T08:05:34.3161777Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 34, in forward 2025-09-07T08:05:34.3162104Z x = self.up4(x, x1) 2025-09-07T08:05:34.3162407Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3162734Z return self.conv(x) 2025-09-07T08:05:34.3163038Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3163369Z return self.double_conv(x) 2025-09-07T08:05:34.3163478Z 2025-09-07T08:05:34.3163586Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3163919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3164209Z return mod(*inputs) 2025-09-07T08:05:34.3164510Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 34, in forward 2025-09-07T08:05:34.3164835Z x = self.up4(x, x1) 2025-09-07T08:05:34.3165137Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 68, in forward 2025-09-07T08:05:34.3165458Z return self.conv(x) 2025-09-07T08:05:34.3165762Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 25, in forward 2025-09-07T08:05:34.3166095Z return self.double_conv(x) 2025-09-07T08:05:34.3166202Z 2025-09-07T08:05:34.3166307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3166643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3166930Z return mod(*inputs) 2025-09-07T08:05:34.3167234Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 35, in forward 2025-09-07T08:05:34.3167559Z logits = self.outc(x) 2025-09-07T08:05:34.3167871Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 77, in forward 2025-09-07T08:05:34.3168190Z return self.conv(x) 2025-09-07T08:05:34.3168292Z 2025-09-07T08:05:34.3168388Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:05:34.3168723Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:05:34.3169022Z return mod(*inputs) 2025-09-07T08:05:34.3169315Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_model.py", line 35, in forward 2025-09-07T08:05:34.3169642Z logits = self.outc(x) 2025-09-07T08:05:34.3169949Z File "/torchbench/torchbenchmark/models/pytorch_unet/pytorch_unet/unet/unet_parts.py", line 77, in forward 2025-09-07T08:05:34.3170271Z return self.conv(x) 2025-09-07T08:05:34.3170361Z 2025-09-07T08:05:34.3170449Z cudagraph partition due to non gpu ops 2025-09-07T08:05:55.0547554Z pass 2025-09-07T08:05:55.0547956Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:05:57.0187825Z /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. 2025-09-07T08:05:57.0192825Z import pynvml # type: ignore[import] 2025-09-07T08:05:58.7261982Z 2025-09-07T08:05:59.7122916Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:05:59.7123222Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:05:59.7125066Z cpu eval resnet152 2025-09-07T08:06:00.6504139Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:00.8066709Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:00.9627052Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:21.1677294Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1677715Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1678034Z return mod(*inputs) 2025-09-07T08:06:21.1678382Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1678884Z return self._forward_impl(x) 2025-09-07T08:06:21.1679400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-09-07T08:06:21.1680034Z x = self.conv1(x) 2025-09-07T08:06:21.1680184Z 2025-09-07T08:06:21.1680347Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1680924Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1681284Z return mod(*inputs) 2025-09-07T08:06:21.1681600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1681939Z return self._forward_impl(x) 2025-09-07T08:06:21.1682282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-09-07T08:06:21.1682628Z x = self.relu(x) 2025-09-07T08:06:21.1682726Z 2025-09-07T08:06:21.1682851Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1683238Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1683558Z return mod(*inputs) 2025-09-07T08:06:21.1683878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1684223Z return self._forward_impl(x) 2025-09-07T08:06:21.1684576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-09-07T08:06:21.1684914Z x = self.relu(x) 2025-09-07T08:06:21.1685158Z 2025-09-07T08:06:21.1685262Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1685623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1685962Z return mod(*inputs) 2025-09-07T08:06:21.1686280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1686643Z return self._forward_impl(x) 2025-09-07T08:06:21.1686977Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl 2025-09-07T08:06:21.1687331Z x = self.maxpool(x) 2025-09-07T08:06:21.1687439Z 2025-09-07T08:06:21.1687539Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1687903Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1688210Z return mod(*inputs) 2025-09-07T08:06:21.1688517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1688864Z return self._forward_impl(x) 2025-09-07T08:06:21.1689202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1689553Z x = self.layer1(x) 2025-09-07T08:06:21.1690227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1690561Z out = self.relu(out) 2025-09-07T08:06:21.1690677Z 2025-09-07T08:06:21.1690776Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1691118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1691438Z return mod(*inputs) 2025-09-07T08:06:21.1691738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1692081Z return self._forward_impl(x) 2025-09-07T08:06:21.1692459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1692805Z x = self.layer1(x) 2025-09-07T08:06:21.1693100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1693425Z out = self.relu(out) 2025-09-07T08:06:21.1693541Z 2025-09-07T08:06:21.1693640Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1693984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1694289Z return mod(*inputs) 2025-09-07T08:06:21.1694586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1694920Z return self._forward_impl(x) 2025-09-07T08:06:21.1695258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1695599Z x = self.layer1(x) 2025-09-07T08:06:21.1695897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1696220Z out = self.relu(out) 2025-09-07T08:06:21.1696328Z 2025-09-07T08:06:21.1696427Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1696776Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1697085Z return mod(*inputs) 2025-09-07T08:06:21.1697381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1697716Z return self._forward_impl(x) 2025-09-07T08:06:21.1698053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1698391Z x = self.layer1(x) 2025-09-07T08:06:21.1698690Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1699010Z out = self.relu(out) 2025-09-07T08:06:21.1699118Z 2025-09-07T08:06:21.1699216Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1699556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1699870Z return mod(*inputs) 2025-09-07T08:06:21.1700163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1700500Z return self._forward_impl(x) 2025-09-07T08:06:21.1700833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1701172Z x = self.layer1(x) 2025-09-07T08:06:21.1701488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:06:21.1701806Z out = self.relu(out) 2025-09-07T08:06:21.1701914Z 2025-09-07T08:06:21.1702019Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1702357Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1702657Z return mod(*inputs) 2025-09-07T08:06:21.1702992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1703347Z return self._forward_impl(x) 2025-09-07T08:06:21.1703685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1704026Z x = self.layer1(x) 2025-09-07T08:06:21.1704325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:06:21.1704651Z out = self.relu(out) 2025-09-07T08:06:21.1704758Z 2025-09-07T08:06:21.1704840Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1705084Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1705449Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1705749Z return mod(*inputs) 2025-09-07T08:06:21.1706053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1706390Z return self._forward_impl(x) 2025-09-07T08:06:21.1706730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1707066Z x = self.layer1(x) 2025-09-07T08:06:21.1707359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1707686Z out = self.relu(out) 2025-09-07T08:06:21.1707794Z 2025-09-07T08:06:21.1707894Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1708239Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1708547Z return mod(*inputs) 2025-09-07T08:06:21.1708849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1709187Z return self._forward_impl(x) 2025-09-07T08:06:21.1709526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1709872Z x = self.layer1(x) 2025-09-07T08:06:21.1710168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1710492Z out = self.relu(out) 2025-09-07T08:06:21.1710599Z 2025-09-07T08:06:21.1710702Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1711047Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1711345Z return mod(*inputs) 2025-09-07T08:06:21.1711650Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1711986Z return self._forward_impl(x) 2025-09-07T08:06:21.1712321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1712658Z x = self.layer1(x) 2025-09-07T08:06:21.1712955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1713282Z out = self.relu(out) 2025-09-07T08:06:21.1713389Z 2025-09-07T08:06:21.1713491Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1713838Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1714134Z return mod(*inputs) 2025-09-07T08:06:21.1714439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1714767Z return self._forward_impl(x) 2025-09-07T08:06:21.1715099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1715435Z x = self.layer1(x) 2025-09-07T08:06:21.1715725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1716103Z out = self.relu(out) 2025-09-07T08:06:21.1716239Z 2025-09-07T08:06:21.1716322Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1716562Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1716898Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1717203Z return mod(*inputs) 2025-09-07T08:06:21.1717512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1717844Z return self._forward_impl(x) 2025-09-07T08:06:21.1718180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1718533Z x = self.layer1(x) 2025-09-07T08:06:21.1718840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1719171Z out = self.relu(out) 2025-09-07T08:06:21.1719270Z 2025-09-07T08:06:21.1719380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1719719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1720026Z return mod(*inputs) 2025-09-07T08:06:21.1720338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1720673Z return self._forward_impl(x) 2025-09-07T08:06:21.1721010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1721346Z x = self.layer1(x) 2025-09-07T08:06:21.1721652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1721991Z out = self.relu(out) 2025-09-07T08:06:21.1722092Z 2025-09-07T08:06:21.1722201Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1722547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1722857Z return mod(*inputs) 2025-09-07T08:06:21.1723162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1723498Z return self._forward_impl(x) 2025-09-07T08:06:21.1723835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1724174Z x = self.layer1(x) 2025-09-07T08:06:21.1724484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1724816Z out = self.relu(out) 2025-09-07T08:06:21.1724920Z 2025-09-07T08:06:21.1725030Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1725369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1725680Z return mod(*inputs) 2025-09-07T08:06:21.1725991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1726329Z return self._forward_impl(x) 2025-09-07T08:06:21.1726664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:21.1726997Z x = self.layer1(x) 2025-09-07T08:06:21.1727300Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1727630Z out = self.relu(out) 2025-09-07T08:06:21.1727733Z 2025-09-07T08:06:21.1727820Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1728047Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1728397Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1728707Z return mod(*inputs) 2025-09-07T08:06:21.1729013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1730522Z return self._forward_impl(x) 2025-09-07T08:06:21.1730881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1731228Z x = self.layer2(x) 2025-09-07T08:06:21.1731537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1731872Z out = self.relu(out) 2025-09-07T08:06:21.1731975Z 2025-09-07T08:06:21.1732078Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1732426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1732763Z return mod(*inputs) 2025-09-07T08:06:21.1733070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1733399Z return self._forward_impl(x) 2025-09-07T08:06:21.1733729Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1734063Z x = self.layer2(x) 2025-09-07T08:06:21.1734362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1734685Z out = self.relu(out) 2025-09-07T08:06:21.1734787Z 2025-09-07T08:06:21.1734887Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1735230Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1735534Z return mod(*inputs) 2025-09-07T08:06:21.1735838Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1736172Z return self._forward_impl(x) 2025-09-07T08:06:21.1736501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1736841Z x = self.layer2(x) 2025-09-07T08:06:21.1737150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1737476Z out = self.relu(out) 2025-09-07T08:06:21.1737575Z 2025-09-07T08:06:21.1737675Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1738016Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1738325Z return mod(*inputs) 2025-09-07T08:06:21.1738629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1738959Z return self._forward_impl(x) 2025-09-07T08:06:21.1739288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1739629Z x = self.layer2(x) 2025-09-07T08:06:21.1739935Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1740269Z out = self.relu(out) 2025-09-07T08:06:21.1740372Z 2025-09-07T08:06:21.1740472Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1740813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1741117Z return mod(*inputs) 2025-09-07T08:06:21.1741421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1741764Z return self._forward_impl(x) 2025-09-07T08:06:21.1742091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1742429Z x = self.layer2(x) 2025-09-07T08:06:21.1742732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:06:21.1743058Z out = self.relu(out) 2025-09-07T08:06:21.1743159Z 2025-09-07T08:06:21.1743258Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1743661Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1743966Z return mod(*inputs) 2025-09-07T08:06:21.1744275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1744611Z return self._forward_impl(x) 2025-09-07T08:06:21.1744937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1745278Z x = self.layer2(x) 2025-09-07T08:06:21.1745581Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:06:21.1745926Z out = self.relu(out) 2025-09-07T08:06:21.1746027Z 2025-09-07T08:06:21.1746108Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1746340Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1746687Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1746999Z return mod(*inputs) 2025-09-07T08:06:21.1747296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1747627Z return self._forward_impl(x) 2025-09-07T08:06:21.1747962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1748297Z x = self.layer2(x) 2025-09-07T08:06:21.1748685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1749009Z out = self.relu(out) 2025-09-07T08:06:21.1749120Z 2025-09-07T08:06:21.1749220Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1749562Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1749873Z return mod(*inputs) 2025-09-07T08:06:21.1750183Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1750510Z return self._forward_impl(x) 2025-09-07T08:06:21.1750846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1751183Z x = self.layer2(x) 2025-09-07T08:06:21.1751485Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1751803Z out = self.relu(out) 2025-09-07T08:06:21.1751912Z 2025-09-07T08:06:21.1752012Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1752353Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1752660Z return mod(*inputs) 2025-09-07T08:06:21.1752966Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1753296Z return self._forward_impl(x) 2025-09-07T08:06:21.1753628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1753971Z x = self.layer2(x) 2025-09-07T08:06:21.1754272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1754595Z out = self.relu(out) 2025-09-07T08:06:21.1754703Z 2025-09-07T08:06:21.1754802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1755143Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1755454Z return mod(*inputs) 2025-09-07T08:06:21.1755760Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1756085Z return self._forward_impl(x) 2025-09-07T08:06:21.1756499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1756873Z x = self.layer2(x) 2025-09-07T08:06:21.1757176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1757500Z out = self.relu(out) 2025-09-07T08:06:21.1757613Z 2025-09-07T08:06:21.1757693Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1757933Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1758280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1758580Z return mod(*inputs) 2025-09-07T08:06:21.1758929Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1759265Z return self._forward_impl(x) 2025-09-07T08:06:21.1759607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1759955Z x = self.layer2(x) 2025-09-07T08:06:21.1760252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1760583Z out = self.relu(out) 2025-09-07T08:06:21.1760693Z 2025-09-07T08:06:21.1760794Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1761141Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1761441Z return mod(*inputs) 2025-09-07T08:06:21.1761750Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1762081Z return self._forward_impl(x) 2025-09-07T08:06:21.1762442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1762788Z x = self.layer2(x) 2025-09-07T08:06:21.1763086Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1763416Z out = self.relu(out) 2025-09-07T08:06:21.1763524Z 2025-09-07T08:06:21.1763622Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1763963Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1764266Z return mod(*inputs) 2025-09-07T08:06:21.1764574Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1764902Z return self._forward_impl(x) 2025-09-07T08:06:21.1765240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1765585Z x = self.layer2(x) 2025-09-07T08:06:21.1765877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1766204Z out = self.relu(out) 2025-09-07T08:06:21.1766314Z 2025-09-07T08:06:21.1766416Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1766761Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1767058Z return mod(*inputs) 2025-09-07T08:06:21.1767365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1767700Z return self._forward_impl(x) 2025-09-07T08:06:21.1768036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1768379Z x = self.layer2(x) 2025-09-07T08:06:21.1768676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1769003Z out = self.relu(out) 2025-09-07T08:06:21.1769109Z 2025-09-07T08:06:21.1769189Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1769424Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1769822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1770130Z return mod(*inputs) 2025-09-07T08:06:21.1770441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1770778Z return self._forward_impl(x) 2025-09-07T08:06:21.1771120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1771458Z x = self.layer2(x) 2025-09-07T08:06:21.1771768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1772120Z out = self.relu(out) 2025-09-07T08:06:21.1772223Z 2025-09-07T08:06:21.1772334Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1772674Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1772984Z return mod(*inputs) 2025-09-07T08:06:21.1773287Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1773617Z return self._forward_impl(x) 2025-09-07T08:06:21.1773955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1774288Z x = self.layer2(x) 2025-09-07T08:06:21.1774591Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1774921Z out = self.relu(out) 2025-09-07T08:06:21.1775022Z 2025-09-07T08:06:21.1775131Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1775467Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1775774Z return mod(*inputs) 2025-09-07T08:06:21.1776080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1776413Z return self._forward_impl(x) 2025-09-07T08:06:21.1776747Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1777075Z x = self.layer2(x) 2025-09-07T08:06:21.1777376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1777700Z out = self.relu(out) 2025-09-07T08:06:21.1777803Z 2025-09-07T08:06:21.1777909Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1778246Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1778556Z return mod(*inputs) 2025-09-07T08:06:21.1778859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1779192Z return self._forward_impl(x) 2025-09-07T08:06:21.1779528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1779865Z x = self.layer2(x) 2025-09-07T08:06:21.1780168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1780498Z out = self.relu(out) 2025-09-07T08:06:21.1780598Z 2025-09-07T08:06:21.1780685Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1780911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1781258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1781571Z return mod(*inputs) 2025-09-07T08:06:21.1781880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1782214Z return self._forward_impl(x) 2025-09-07T08:06:21.1782588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1782959Z x = self.layer2(x) 2025-09-07T08:06:21.1783268Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1783596Z out = self.relu(out) 2025-09-07T08:06:21.1783697Z 2025-09-07T08:06:21.1783797Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1784146Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1784457Z return mod(*inputs) 2025-09-07T08:06:21.1784764Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1785124Z return self._forward_impl(x) 2025-09-07T08:06:21.1785456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1785802Z x = self.layer2(x) 2025-09-07T08:06:21.1786112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1786444Z out = self.relu(out) 2025-09-07T08:06:21.1786546Z 2025-09-07T08:06:21.1786646Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1786994Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1787301Z return mod(*inputs) 2025-09-07T08:06:21.1787605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1787940Z return self._forward_impl(x) 2025-09-07T08:06:21.1788272Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1788617Z x = self.layer2(x) 2025-09-07T08:06:21.1788923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1789252Z out = self.relu(out) 2025-09-07T08:06:21.1789356Z 2025-09-07T08:06:21.1789455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1789799Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1790101Z return mod(*inputs) 2025-09-07T08:06:21.1790407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1790736Z return self._forward_impl(x) 2025-09-07T08:06:21.1791062Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1791400Z x = self.layer2(x) 2025-09-07T08:06:21.1791700Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1792024Z out = self.relu(out) 2025-09-07T08:06:21.1792123Z 2025-09-07T08:06:21.1792200Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1792440Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1792777Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1793080Z return mod(*inputs) 2025-09-07T08:06:21.1793383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1793705Z return self._forward_impl(x) 2025-09-07T08:06:21.1794040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1794381Z x = self.layer2(x) 2025-09-07T08:06:21.1794685Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1795009Z out = self.relu(out) 2025-09-07T08:06:21.1795120Z 2025-09-07T08:06:21.1795219Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1795602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1795940Z return mod(*inputs) 2025-09-07T08:06:21.1796247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1796574Z return self._forward_impl(x) 2025-09-07T08:06:21.1796910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1797249Z x = self.layer2(x) 2025-09-07T08:06:21.1797550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1797868Z out = self.relu(out) 2025-09-07T08:06:21.1798007Z 2025-09-07T08:06:21.1798107Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1798450Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1798770Z return mod(*inputs) 2025-09-07T08:06:21.1799078Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1799401Z return self._forward_impl(x) 2025-09-07T08:06:21.1799737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1800080Z x = self.layer2(x) 2025-09-07T08:06:21.1800380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1800700Z out = self.relu(out) 2025-09-07T08:06:21.1800810Z 2025-09-07T08:06:21.1800911Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1801258Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1801565Z return mod(*inputs) 2025-09-07T08:06:21.1801871Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1802195Z return self._forward_impl(x) 2025-09-07T08:06:21.1802534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1802874Z x = self.layer2(x) 2025-09-07T08:06:21.1803177Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1803499Z out = self.relu(out) 2025-09-07T08:06:21.1803606Z 2025-09-07T08:06:21.1803684Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1803919Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1804257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1804562Z return mod(*inputs) 2025-09-07T08:06:21.1804854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1805183Z return self._forward_impl(x) 2025-09-07T08:06:21.1805522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1805859Z x = self.layer2(x) 2025-09-07T08:06:21.1806149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1806478Z out = self.relu(out) 2025-09-07T08:06:21.1806584Z 2025-09-07T08:06:21.1806681Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1807022Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1807332Z return mod(*inputs) 2025-09-07T08:06:21.1807630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1807959Z return self._forward_impl(x) 2025-09-07T08:06:21.1808291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1808660Z x = self.layer2(x) 2025-09-07T08:06:21.1809005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1809336Z out = self.relu(out) 2025-09-07T08:06:21.1809445Z 2025-09-07T08:06:21.1809547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1809893Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1810202Z return mod(*inputs) 2025-09-07T08:06:21.1810500Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1810837Z return self._forward_impl(x) 2025-09-07T08:06:21.1811191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1811530Z x = self.layer2(x) 2025-09-07T08:06:21.1811826Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1812160Z out = self.relu(out) 2025-09-07T08:06:21.1812270Z 2025-09-07T08:06:21.1812372Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1812712Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1813021Z return mod(*inputs) 2025-09-07T08:06:21.1813317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1813648Z return self._forward_impl(x) 2025-09-07T08:06:21.1813985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1814329Z x = self.layer2(x) 2025-09-07T08:06:21.1814621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1814946Z out = self.relu(out) 2025-09-07T08:06:21.1815052Z 2025-09-07T08:06:21.1815135Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1815371Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1815714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1816015Z return mod(*inputs) 2025-09-07T08:06:21.1816322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1816657Z return self._forward_impl(x) 2025-09-07T08:06:21.1816991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1817319Z x = self.layer2(x) 2025-09-07T08:06:21.1817624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1817953Z out = self.relu(out) 2025-09-07T08:06:21.1818054Z 2025-09-07T08:06:21.1818161Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1818506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1818805Z return mod(*inputs) 2025-09-07T08:06:21.1819104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1819435Z return self._forward_impl(x) 2025-09-07T08:06:21.1819767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1820099Z x = self.layer2(x) 2025-09-07T08:06:21.1820402Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1820730Z out = self.relu(out) 2025-09-07T08:06:21.1820830Z 2025-09-07T08:06:21.1820937Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1821277Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1821593Z return mod(*inputs) 2025-09-07T08:06:21.1821924Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1822261Z return self._forward_impl(x) 2025-09-07T08:06:21.1822594Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1822925Z x = self.layer2(x) 2025-09-07T08:06:21.1823233Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1823562Z out = self.relu(out) 2025-09-07T08:06:21.1823661Z 2025-09-07T08:06:21.1823768Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1824127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1824431Z return mod(*inputs) 2025-09-07T08:06:21.1824735Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1825072Z return self._forward_impl(x) 2025-09-07T08:06:21.1825405Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:21.1825737Z x = self.layer2(x) 2025-09-07T08:06:21.1826044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1826374Z out = self.relu(out) 2025-09-07T08:06:21.1826476Z 2025-09-07T08:06:21.1826564Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1826789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1827134Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1827439Z return mod(*inputs) 2025-09-07T08:06:21.1827748Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1828078Z return self._forward_impl(x) 2025-09-07T08:06:21.1828409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1828743Z x = self.layer3(x) 2025-09-07T08:06:21.1829048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1829373Z out = self.relu(out) 2025-09-07T08:06:21.1829475Z 2025-09-07T08:06:21.1829573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1829911Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1830216Z return mod(*inputs) 2025-09-07T08:06:21.1830520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1830848Z return self._forward_impl(x) 2025-09-07T08:06:21.1831173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1831515Z x = self.layer3(x) 2025-09-07T08:06:21.1831811Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1832134Z out = self.relu(out) 2025-09-07T08:06:21.1832234Z 2025-09-07T08:06:21.1832331Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1832672Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1832978Z return mod(*inputs) 2025-09-07T08:06:21.1833279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1833607Z return self._forward_impl(x) 2025-09-07T08:06:21.1833930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1834266Z x = self.layer3(x) 2025-09-07T08:06:21.1834601Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1834946Z out = self.relu(out) 2025-09-07T08:06:21.1835046Z 2025-09-07T08:06:21.1835145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1835484Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1835791Z return mod(*inputs) 2025-09-07T08:06:21.1836097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1836428Z return self._forward_impl(x) 2025-09-07T08:06:21.1836756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1837112Z x = self.layer3(x) 2025-09-07T08:06:21.1837413Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1837739Z out = self.relu(out) 2025-09-07T08:06:21.1837843Z 2025-09-07T08:06:21.1837945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1838289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1838599Z return mod(*inputs) 2025-09-07T08:06:21.1838899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1839233Z return self._forward_impl(x) 2025-09-07T08:06:21.1839556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1839894Z x = self.layer3(x) 2025-09-07T08:06:21.1840199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:06:21.1840521Z out = self.relu(out) 2025-09-07T08:06:21.1840620Z 2025-09-07T08:06:21.1840722Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1841067Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1841376Z return mod(*inputs) 2025-09-07T08:06:21.1841678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1842006Z return self._forward_impl(x) 2025-09-07T08:06:21.1842333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1842673Z x = self.layer3(x) 2025-09-07T08:06:21.1842975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:06:21.1843299Z out = self.relu(out) 2025-09-07T08:06:21.1843401Z 2025-09-07T08:06:21.1843481Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1843717Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1844061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1844374Z return mod(*inputs) 2025-09-07T08:06:21.1844678Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1845001Z return self._forward_impl(x) 2025-09-07T08:06:21.1845342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1845680Z x = self.layer3(x) 2025-09-07T08:06:21.1845984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1846303Z out = self.relu(out) 2025-09-07T08:06:21.1846415Z 2025-09-07T08:06:21.1846515Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1846858Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1847170Z return mod(*inputs) 2025-09-07T08:06:21.1847502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1847848Z return self._forward_impl(x) 2025-09-07T08:06:21.1848184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1848572Z x = self.layer3(x) 2025-09-07T08:06:21.1848877Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1849207Z out = self.relu(out) 2025-09-07T08:06:21.1849319Z 2025-09-07T08:06:21.1849418Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1849762Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1850116Z return mod(*inputs) 2025-09-07T08:06:21.1850420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1850748Z return self._forward_impl(x) 2025-09-07T08:06:21.1851091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1851434Z x = self.layer3(x) 2025-09-07T08:06:21.1851741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1852068Z out = self.relu(out) 2025-09-07T08:06:21.1852181Z 2025-09-07T08:06:21.1852281Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1852629Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1852941Z return mod(*inputs) 2025-09-07T08:06:21.1853254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1853584Z return self._forward_impl(x) 2025-09-07T08:06:21.1853933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1854269Z x = self.layer3(x) 2025-09-07T08:06:21.1854566Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1854882Z out = self.relu(out) 2025-09-07T08:06:21.1854989Z 2025-09-07T08:06:21.1855065Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1855295Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1855643Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1855947Z return mod(*inputs) 2025-09-07T08:06:21.1856241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1856568Z return self._forward_impl(x) 2025-09-07T08:06:21.1856898Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1857234Z x = self.layer3(x) 2025-09-07T08:06:21.1857527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1857857Z out = self.relu(out) 2025-09-07T08:06:21.1857965Z 2025-09-07T08:06:21.1858062Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1858398Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1858698Z return mod(*inputs) 2025-09-07T08:06:21.1858987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1859315Z return self._forward_impl(x) 2025-09-07T08:06:21.1859648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1859979Z x = self.layer3(x) 2025-09-07T08:06:21.1860267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1860611Z out = self.relu(out) 2025-09-07T08:06:21.1860769Z 2025-09-07T08:06:21.1860866Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1861203Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1861500Z return mod(*inputs) 2025-09-07T08:06:21.1861789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1862106Z return self._forward_impl(x) 2025-09-07T08:06:21.1862432Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1862778Z x = self.layer3(x) 2025-09-07T08:06:21.1863066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1863387Z out = self.relu(out) 2025-09-07T08:06:21.1863494Z 2025-09-07T08:06:21.1863591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1863929Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1864226Z return mod(*inputs) 2025-09-07T08:06:21.1864517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1864840Z return self._forward_impl(x) 2025-09-07T08:06:21.1865163Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1865491Z x = self.layer3(x) 2025-09-07T08:06:21.1865776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1866099Z out = self.relu(out) 2025-09-07T08:06:21.1866203Z 2025-09-07T08:06:21.1866280Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1866509Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1866845Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1867135Z return mod(*inputs) 2025-09-07T08:06:21.1867436Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1867759Z return self._forward_impl(x) 2025-09-07T08:06:21.1868088Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1868412Z x = self.layer3(x) 2025-09-07T08:06:21.1868708Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1869027Z out = self.relu(out) 2025-09-07T08:06:21.1869128Z 2025-09-07T08:06:21.1869235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1869568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1869859Z return mod(*inputs) 2025-09-07T08:06:21.1870161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1870478Z return self._forward_impl(x) 2025-09-07T08:06:21.1870802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1871124Z x = self.layer3(x) 2025-09-07T08:06:21.1871421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1871737Z out = self.relu(out) 2025-09-07T08:06:21.1871834Z 2025-09-07T08:06:21.1871940Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1872275Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1872566Z return mod(*inputs) 2025-09-07T08:06:21.1872861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1873201Z return self._forward_impl(x) 2025-09-07T08:06:21.1873559Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1873884Z x = self.layer3(x) 2025-09-07T08:06:21.1874175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1874490Z out = self.relu(out) 2025-09-07T08:06:21.1874589Z 2025-09-07T08:06:21.1874695Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1875026Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1875358Z return mod(*inputs) 2025-09-07T08:06:21.1875657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1875976Z return self._forward_impl(x) 2025-09-07T08:06:21.1876301Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1876625Z x = self.layer3(x) 2025-09-07T08:06:21.1876917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1877233Z out = self.relu(out) 2025-09-07T08:06:21.1877334Z 2025-09-07T08:06:21.1877419Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1877645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1877972Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1878270Z return mod(*inputs) 2025-09-07T08:06:21.1878568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1878893Z return self._forward_impl(x) 2025-09-07T08:06:21.1879209Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1879545Z x = self.layer3(x) 2025-09-07T08:06:21.1879844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1880165Z out = self.relu(out) 2025-09-07T08:06:21.1880263Z 2025-09-07T08:06:21.1880368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1880696Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1880994Z return mod(*inputs) 2025-09-07T08:06:21.1881291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1881614Z return self._forward_impl(x) 2025-09-07T08:06:21.1881934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1882268Z x = self.layer3(x) 2025-09-07T08:06:21.1882557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1882882Z out = self.relu(out) 2025-09-07T08:06:21.1882979Z 2025-09-07T08:06:21.1883083Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1883409Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1883711Z return mod(*inputs) 2025-09-07T08:06:21.1884009Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1884334Z return self._forward_impl(x) 2025-09-07T08:06:21.1884656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1884989Z x = self.layer3(x) 2025-09-07T08:06:21.1885282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1885600Z out = self.relu(out) 2025-09-07T08:06:21.1885701Z 2025-09-07T08:06:21.1885850Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1886180Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1886482Z return mod(*inputs) 2025-09-07T08:06:21.1886782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1887105Z return self._forward_impl(x) 2025-09-07T08:06:21.1887427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1887758Z x = self.layer3(x) 2025-09-07T08:06:21.1888049Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1888387Z out = self.relu(out) 2025-09-07T08:06:21.1888485Z 2025-09-07T08:06:21.1888567Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1888789Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1889127Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1889428Z return mod(*inputs) 2025-09-07T08:06:21.1889725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1890039Z return self._forward_impl(x) 2025-09-07T08:06:21.1890363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1890691Z x = self.layer3(x) 2025-09-07T08:06:21.1890983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1891294Z out = self.relu(out) 2025-09-07T08:06:21.1891401Z 2025-09-07T08:06:21.1891497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1891839Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1892144Z return mod(*inputs) 2025-09-07T08:06:21.1892446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1892764Z return self._forward_impl(x) 2025-09-07T08:06:21.1893089Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1893427Z x = self.layer3(x) 2025-09-07T08:06:21.1893721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1894048Z out = self.relu(out) 2025-09-07T08:06:21.1894147Z 2025-09-07T08:06:21.1894246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1894587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1894893Z return mod(*inputs) 2025-09-07T08:06:21.1895190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1895514Z return self._forward_impl(x) 2025-09-07T08:06:21.1895847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1896177Z x = self.layer3(x) 2025-09-07T08:06:21.1896471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1896793Z out = self.relu(out) 2025-09-07T08:06:21.1896894Z 2025-09-07T08:06:21.1896990Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1897324Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1897626Z return mod(*inputs) 2025-09-07T08:06:21.1897922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1898236Z return self._forward_impl(x) 2025-09-07T08:06:21.1898618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1898966Z x = self.layer3(x) 2025-09-07T08:06:21.1899261Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1899578Z out = self.relu(out) 2025-09-07T08:06:21.1899679Z 2025-09-07T08:06:21.1899757Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1899983Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1900318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1900618Z return mod(*inputs) 2025-09-07T08:06:21.1900931Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1901262Z return self._forward_impl(x) 2025-09-07T08:06:21.1901592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1901928Z x = self.layer3(x) 2025-09-07T08:06:21.1902220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1902543Z out = self.relu(out) 2025-09-07T08:06:21.1902652Z 2025-09-07T08:06:21.1902748Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1903087Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1903385Z return mod(*inputs) 2025-09-07T08:06:21.1903674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1904000Z return self._forward_impl(x) 2025-09-07T08:06:21.1904327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1904655Z x = self.layer3(x) 2025-09-07T08:06:21.1904942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1905263Z out = self.relu(out) 2025-09-07T08:06:21.1905369Z 2025-09-07T08:06:21.1905467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1905801Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1906102Z return mod(*inputs) 2025-09-07T08:06:21.1906391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1906714Z return self._forward_impl(x) 2025-09-07T08:06:21.1907040Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1907372Z x = self.layer3(x) 2025-09-07T08:06:21.1907659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1907979Z out = self.relu(out) 2025-09-07T08:06:21.1908086Z 2025-09-07T08:06:21.1908186Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1908519Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1908818Z return mod(*inputs) 2025-09-07T08:06:21.1909108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1909432Z return self._forward_impl(x) 2025-09-07T08:06:21.1909763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1910094Z x = self.layer3(x) 2025-09-07T08:06:21.1910379Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1910700Z out = self.relu(out) 2025-09-07T08:06:21.1910804Z 2025-09-07T08:06:21.1910881Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1911124Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1911515Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1911807Z return mod(*inputs) 2025-09-07T08:06:21.1912109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1912435Z return self._forward_impl(x) 2025-09-07T08:06:21.1912761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1913083Z x = self.layer3(x) 2025-09-07T08:06:21.1913374Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1913709Z out = self.relu(out) 2025-09-07T08:06:21.1913807Z 2025-09-07T08:06:21.1913915Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1914254Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1914555Z return mod(*inputs) 2025-09-07T08:06:21.1914853Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1915177Z return self._forward_impl(x) 2025-09-07T08:06:21.1915505Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1915830Z x = self.layer3(x) 2025-09-07T08:06:21.1916127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1916450Z out = self.relu(out) 2025-09-07T08:06:21.1916552Z 2025-09-07T08:06:21.1916658Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1916992Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1917288Z return mod(*inputs) 2025-09-07T08:06:21.1917588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1917914Z return self._forward_impl(x) 2025-09-07T08:06:21.1918240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1918561Z x = self.layer3(x) 2025-09-07T08:06:21.1918854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1919172Z out = self.relu(out) 2025-09-07T08:06:21.1919270Z 2025-09-07T08:06:21.1919375Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1919711Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1920009Z return mod(*inputs) 2025-09-07T08:06:21.1920305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1920629Z return self._forward_impl(x) 2025-09-07T08:06:21.1920962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1921286Z x = self.layer3(x) 2025-09-07T08:06:21.1921580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1921904Z out = self.relu(out) 2025-09-07T08:06:21.1922002Z 2025-09-07T08:06:21.1922090Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1922321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1922654Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1922960Z return mod(*inputs) 2025-09-07T08:06:21.1923262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1923588Z return self._forward_impl(x) 2025-09-07T08:06:21.1923936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1924288Z x = self.layer3(x) 2025-09-07T08:06:21.1924592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1924913Z out = self.relu(out) 2025-09-07T08:06:21.1925013Z 2025-09-07T08:06:21.1925324Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1925650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1925951Z return mod(*inputs) 2025-09-07T08:06:21.1926248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1926596Z return self._forward_impl(x) 2025-09-07T08:06:21.1926922Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1927254Z x = self.layer3(x) 2025-09-07T08:06:21.1927555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1927877Z out = self.relu(out) 2025-09-07T08:06:21.1927977Z 2025-09-07T08:06:21.1928085Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1928411Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1928712Z return mod(*inputs) 2025-09-07T08:06:21.1929012Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1929339Z return self._forward_impl(x) 2025-09-07T08:06:21.1929663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1929994Z x = self.layer3(x) 2025-09-07T08:06:21.1930293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1930618Z out = self.relu(out) 2025-09-07T08:06:21.1930719Z 2025-09-07T08:06:21.1930823Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1931154Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1931456Z return mod(*inputs) 2025-09-07T08:06:21.1931753Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1932081Z return self._forward_impl(x) 2025-09-07T08:06:21.1932401Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1932733Z x = self.layer3(x) 2025-09-07T08:06:21.1933035Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1933355Z out = self.relu(out) 2025-09-07T08:06:21.1933454Z 2025-09-07T08:06:21.1933539Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1933763Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1934096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1934399Z return mod(*inputs) 2025-09-07T08:06:21.1934699Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1935021Z return self._forward_impl(x) 2025-09-07T08:06:21.1935353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1935686Z x = self.layer3(x) 2025-09-07T08:06:21.1935984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1936306Z out = self.relu(out) 2025-09-07T08:06:21.1936403Z 2025-09-07T08:06:21.1936501Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1936868Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1937190Z return mod(*inputs) 2025-09-07T08:06:21.1937492Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1937813Z return self._forward_impl(x) 2025-09-07T08:06:21.1938142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1938476Z x = self.layer3(x) 2025-09-07T08:06:21.1938778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1939101Z out = self.relu(out) 2025-09-07T08:06:21.1939215Z 2025-09-07T08:06:21.1939311Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1939650Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1939945Z return mod(*inputs) 2025-09-07T08:06:21.1940248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1940564Z return self._forward_impl(x) 2025-09-07T08:06:21.1940892Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1941220Z x = self.layer3(x) 2025-09-07T08:06:21.1941512Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1941826Z out = self.relu(out) 2025-09-07T08:06:21.1941924Z 2025-09-07T08:06:21.1942021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1942358Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1942654Z return mod(*inputs) 2025-09-07T08:06:21.1942948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1943264Z return self._forward_impl(x) 2025-09-07T08:06:21.1943590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1943924Z x = self.layer3(x) 2025-09-07T08:06:21.1944217Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1944532Z out = self.relu(out) 2025-09-07T08:06:21.1944628Z 2025-09-07T08:06:21.1944704Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1944928Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1945257Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1945559Z return mod(*inputs) 2025-09-07T08:06:21.1945844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1946165Z return self._forward_impl(x) 2025-09-07T08:06:21.1946495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1946825Z x = self.layer3(x) 2025-09-07T08:06:21.1947115Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1947423Z out = self.relu(out) 2025-09-07T08:06:21.1947529Z 2025-09-07T08:06:21.1947626Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1947961Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1948259Z return mod(*inputs) 2025-09-07T08:06:21.1948588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1948921Z return self._forward_impl(x) 2025-09-07T08:06:21.1949255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1949626Z x = self.layer3(x) 2025-09-07T08:06:21.1949965Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1950280Z out = self.relu(out) 2025-09-07T08:06:21.1950387Z 2025-09-07T08:06:21.1950486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1950822Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1951133Z return mod(*inputs) 2025-09-07T08:06:21.1951426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1951759Z return self._forward_impl(x) 2025-09-07T08:06:21.1952117Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1952446Z x = self.layer3(x) 2025-09-07T08:06:21.1952742Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1953058Z out = self.relu(out) 2025-09-07T08:06:21.1953164Z 2025-09-07T08:06:21.1953259Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1953589Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1953889Z return mod(*inputs) 2025-09-07T08:06:21.1954179Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1954506Z return self._forward_impl(x) 2025-09-07T08:06:21.1954832Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1955164Z x = self.layer3(x) 2025-09-07T08:06:21.1955454Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1955763Z out = self.relu(out) 2025-09-07T08:06:21.1955869Z 2025-09-07T08:06:21.1955947Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1956176Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1956511Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1956801Z return mod(*inputs) 2025-09-07T08:06:21.1957100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1957420Z return self._forward_impl(x) 2025-09-07T08:06:21.1957744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1958071Z x = self.layer3(x) 2025-09-07T08:06:21.1958358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1958673Z out = self.relu(out) 2025-09-07T08:06:21.1958777Z 2025-09-07T08:06:21.1958873Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1959211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1959503Z return mod(*inputs) 2025-09-07T08:06:21.1959799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1960119Z return self._forward_impl(x) 2025-09-07T08:06:21.1960443Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1960768Z x = self.layer3(x) 2025-09-07T08:06:21.1961053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1961373Z out = self.relu(out) 2025-09-07T08:06:21.1961476Z 2025-09-07T08:06:21.1961573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1961904Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1962211Z return mod(*inputs) 2025-09-07T08:06:21.1962536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1962862Z return self._forward_impl(x) 2025-09-07T08:06:21.1963184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1963511Z x = self.layer3(x) 2025-09-07T08:06:21.1963796Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1964111Z out = self.relu(out) 2025-09-07T08:06:21.1964218Z 2025-09-07T08:06:21.1964315Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1964669Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1964960Z return mod(*inputs) 2025-09-07T08:06:21.1965257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1965580Z return self._forward_impl(x) 2025-09-07T08:06:21.1965910Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1966239Z x = self.layer3(x) 2025-09-07T08:06:21.1966524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1966846Z out = self.relu(out) 2025-09-07T08:06:21.1966951Z 2025-09-07T08:06:21.1967027Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1967256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1967582Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1967885Z return mod(*inputs) 2025-09-07T08:06:21.1968186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1968508Z return self._forward_impl(x) 2025-09-07T08:06:21.1968835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1969163Z x = self.layer3(x) 2025-09-07T08:06:21.1969456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1969771Z out = self.relu(out) 2025-09-07T08:06:21.1969870Z 2025-09-07T08:06:21.1969975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1970298Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1970600Z return mod(*inputs) 2025-09-07T08:06:21.1970896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1971214Z return self._forward_impl(x) 2025-09-07T08:06:21.1971539Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1971865Z x = self.layer3(x) 2025-09-07T08:06:21.1972161Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1972478Z out = self.relu(out) 2025-09-07T08:06:21.1972574Z 2025-09-07T08:06:21.1972678Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1973001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1973299Z return mod(*inputs) 2025-09-07T08:06:21.1973597Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1973919Z return self._forward_impl(x) 2025-09-07T08:06:21.1974245Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1974569Z x = self.layer3(x) 2025-09-07T08:06:21.1974889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1975230Z out = self.relu(out) 2025-09-07T08:06:21.1975329Z 2025-09-07T08:06:21.1975433Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1975760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1976059Z return mod(*inputs) 2025-09-07T08:06:21.1976353Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1976676Z return self._forward_impl(x) 2025-09-07T08:06:21.1977001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1977340Z x = self.layer3(x) 2025-09-07T08:06:21.1977631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1977949Z out = self.relu(out) 2025-09-07T08:06:21.1978048Z 2025-09-07T08:06:21.1978137Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1978356Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1978688Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1978988Z return mod(*inputs) 2025-09-07T08:06:21.1979283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1979608Z return self._forward_impl(x) 2025-09-07T08:06:21.1979925Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1980256Z x = self.layer3(x) 2025-09-07T08:06:21.1980546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1980865Z out = self.relu(out) 2025-09-07T08:06:21.1980963Z 2025-09-07T08:06:21.1981059Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1981405Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1981705Z return mod(*inputs) 2025-09-07T08:06:21.1982010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1982336Z return self._forward_impl(x) 2025-09-07T08:06:21.1982655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1982987Z x = self.layer3(x) 2025-09-07T08:06:21.1983278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1983599Z out = self.relu(out) 2025-09-07T08:06:21.1983695Z 2025-09-07T08:06:21.1983791Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1984128Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1984432Z return mod(*inputs) 2025-09-07T08:06:21.1984731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1985058Z return self._forward_impl(x) 2025-09-07T08:06:21.1985376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1985707Z x = self.layer3(x) 2025-09-07T08:06:21.1985998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1986311Z out = self.relu(out) 2025-09-07T08:06:21.1986410Z 2025-09-07T08:06:21.1986507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1986837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1987134Z return mod(*inputs) 2025-09-07T08:06:21.1987461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1987800Z return self._forward_impl(x) 2025-09-07T08:06:21.1988118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1988447Z x = self.layer3(x) 2025-09-07T08:06:21.1988741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1989058Z out = self.relu(out) 2025-09-07T08:06:21.1989158Z 2025-09-07T08:06:21.1989235Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1989464Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1989817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1990125Z return mod(*inputs) 2025-09-07T08:06:21.1990417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1990749Z return self._forward_impl(x) 2025-09-07T08:06:21.1991080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1991419Z x = self.layer3(x) 2025-09-07T08:06:21.1991715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1992027Z out = self.relu(out) 2025-09-07T08:06:21.1992133Z 2025-09-07T08:06:21.1992232Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1992570Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1992873Z return mod(*inputs) 2025-09-07T08:06:21.1993165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1993493Z return self._forward_impl(x) 2025-09-07T08:06:21.1993823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1994159Z x = self.layer3(x) 2025-09-07T08:06:21.1994456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1994773Z out = self.relu(out) 2025-09-07T08:06:21.1994776Z 2025-09-07T08:06:21.1994880Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1995063Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1995134Z return mod(*inputs) 2025-09-07T08:06:21.1995334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1995403Z return self._forward_impl(x) 2025-09-07T08:06:21.1995627Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1995689Z x = self.layer3(x) 2025-09-07T08:06:21.1995899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1995961Z out = self.relu(out) 2025-09-07T08:06:21.1995964Z 2025-09-07T08:06:21.1996063Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1996251Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1996315Z return mod(*inputs) 2025-09-07T08:06:21.1996523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1996589Z return self._forward_impl(x) 2025-09-07T08:06:21.1996810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1996873Z x = self.layer3(x) 2025-09-07T08:06:21.1997071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.1997164Z out = self.relu(out) 2025-09-07T08:06:21.1997207Z 2025-09-07T08:06:21.1997287Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.1997390Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1997569Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1997629Z return mod(*inputs) 2025-09-07T08:06:21.1997835Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1997902Z return self._forward_impl(x) 2025-09-07T08:06:21.1998118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1998195Z x = self.layer3(x) 2025-09-07T08:06:21.1998390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1998462Z out = self.relu(out) 2025-09-07T08:06:21.1998467Z 2025-09-07T08:06:21.1998565Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1998749Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1998809Z return mod(*inputs) 2025-09-07T08:06:21.1999004Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.1999080Z return self._forward_impl(x) 2025-09-07T08:06:21.1999288Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.1999357Z x = self.layer3(x) 2025-09-07T08:06:21.1999552Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.1999621Z out = self.relu(out) 2025-09-07T08:06:21.1999624Z 2025-09-07T08:06:21.1999721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.1999908Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.1999979Z return mod(*inputs) 2025-09-07T08:06:21.2000175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2000249Z return self._forward_impl(x) 2025-09-07T08:06:21.2000457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2000518Z x = self.layer3(x) 2025-09-07T08:06:21.2000722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2000787Z out = self.relu(out) 2025-09-07T08:06:21.2000790Z 2025-09-07T08:06:21.2000891Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2001069Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2001130Z return mod(*inputs) 2025-09-07T08:06:21.2001340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2001407Z return self._forward_impl(x) 2025-09-07T08:06:21.2001623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2001684Z x = self.layer3(x) 2025-09-07T08:06:21.2001878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2001950Z out = self.relu(out) 2025-09-07T08:06:21.2001953Z 2025-09-07T08:06:21.2002030Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2002136Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2002318Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2002388Z return mod(*inputs) 2025-09-07T08:06:21.2002612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2002717Z return self._forward_impl(x) 2025-09-07T08:06:21.2002937Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2002999Z x = self.layer3(x) 2025-09-07T08:06:21.2003203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2003266Z out = self.relu(out) 2025-09-07T08:06:21.2003269Z 2025-09-07T08:06:21.2003365Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2003556Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2003635Z return mod(*inputs) 2025-09-07T08:06:21.2003845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2003913Z return self._forward_impl(x) 2025-09-07T08:06:21.2004132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2004203Z x = self.layer3(x) 2025-09-07T08:06:21.2004399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2004471Z out = self.relu(out) 2025-09-07T08:06:21.2004474Z 2025-09-07T08:06:21.2004570Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2004755Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2004830Z return mod(*inputs) 2025-09-07T08:06:21.2005029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2005103Z return self._forward_impl(x) 2025-09-07T08:06:21.2005318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2005391Z x = self.layer3(x) 2025-09-07T08:06:21.2005593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2005655Z out = self.relu(out) 2025-09-07T08:06:21.2005658Z 2025-09-07T08:06:21.2005761Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2005946Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2006017Z return mod(*inputs) 2025-09-07T08:06:21.2006213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2006282Z return self._forward_impl(x) 2025-09-07T08:06:21.2006503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2006563Z x = self.layer3(x) 2025-09-07T08:06:21.2006767Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2006833Z out = self.relu(out) 2025-09-07T08:06:21.2006836Z 2025-09-07T08:06:21.2006912Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2007017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2007199Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2007273Z return mod(*inputs) 2025-09-07T08:06:21.2007474Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2007539Z return self._forward_impl(x) 2025-09-07T08:06:21.2007762Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2007824Z x = self.layer3(x) 2025-09-07T08:06:21.2008028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2008109Z out = self.relu(out) 2025-09-07T08:06:21.2008140Z 2025-09-07T08:06:21.2008247Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2008439Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2008502Z return mod(*inputs) 2025-09-07T08:06:21.2008710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2008779Z return self._forward_impl(x) 2025-09-07T08:06:21.2008997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2009064Z x = self.layer3(x) 2025-09-07T08:06:21.2009273Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2009345Z out = self.relu(out) 2025-09-07T08:06:21.2009348Z 2025-09-07T08:06:21.2009444Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2009635Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2009696Z return mod(*inputs) 2025-09-07T08:06:21.2009897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2009976Z return self._forward_impl(x) 2025-09-07T08:06:21.2010187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2010256Z x = self.layer3(x) 2025-09-07T08:06:21.2010450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2010514Z out = self.relu(out) 2025-09-07T08:06:21.2010527Z 2025-09-07T08:06:21.2010622Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2010803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2010873Z return mod(*inputs) 2025-09-07T08:06:21.2011071Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2011142Z return self._forward_impl(x) 2025-09-07T08:06:21.2011350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2011410Z x = self.layer3(x) 2025-09-07T08:06:21.2011612Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2011675Z out = self.relu(out) 2025-09-07T08:06:21.2011678Z 2025-09-07T08:06:21.2011759Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2011858Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2012036Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2012106Z return mod(*inputs) 2025-09-07T08:06:21.2012305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2012379Z return self._forward_impl(x) 2025-09-07T08:06:21.2012588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2012648Z x = self.layer3(x) 2025-09-07T08:06:21.2012848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2012912Z out = self.relu(out) 2025-09-07T08:06:21.2012915Z 2025-09-07T08:06:21.2013017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2013198Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2013260Z return mod(*inputs) 2025-09-07T08:06:21.2013459Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2013526Z return self._forward_impl(x) 2025-09-07T08:06:21.2013793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2013854Z x = self.layer3(x) 2025-09-07T08:06:21.2014060Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2014122Z out = self.relu(out) 2025-09-07T08:06:21.2014125Z 2025-09-07T08:06:21.2014222Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2014410Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2014472Z return mod(*inputs) 2025-09-07T08:06:21.2014697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2014764Z return self._forward_impl(x) 2025-09-07T08:06:21.2014974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2015047Z x = self.layer3(x) 2025-09-07T08:06:21.2015241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2015311Z out = self.relu(out) 2025-09-07T08:06:21.2015314Z 2025-09-07T08:06:21.2015409Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2015587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2015657Z return mod(*inputs) 2025-09-07T08:06:21.2015854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2015930Z return self._forward_impl(x) 2025-09-07T08:06:21.2016142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2016203Z x = self.layer3(x) 2025-09-07T08:06:21.2016408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2016472Z out = self.relu(out) 2025-09-07T08:06:21.2016475Z 2025-09-07T08:06:21.2016558Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2016653Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2016837Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2016899Z return mod(*inputs) 2025-09-07T08:06:21.2017095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2017170Z return self._forward_impl(x) 2025-09-07T08:06:21.2017383Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2017451Z x = self.layer3(x) 2025-09-07T08:06:21.2017646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2017721Z out = self.relu(out) 2025-09-07T08:06:21.2017724Z 2025-09-07T08:06:21.2017829Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2018010Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2018079Z return mod(*inputs) 2025-09-07T08:06:21.2018274Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2018341Z return self._forward_impl(x) 2025-09-07T08:06:21.2018568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2018630Z x = self.layer3(x) 2025-09-07T08:06:21.2018831Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2018895Z out = self.relu(out) 2025-09-07T08:06:21.2018898Z 2025-09-07T08:06:21.2018999Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2019228Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2019293Z return mod(*inputs) 2025-09-07T08:06:21.2019494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2019559Z return self._forward_impl(x) 2025-09-07T08:06:21.2019776Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2019836Z x = self.layer3(x) 2025-09-07T08:06:21.2020028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2020116Z out = self.relu(out) 2025-09-07T08:06:21.2020119Z 2025-09-07T08:06:21.2020214Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2020400Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2020465Z return mod(*inputs) 2025-09-07T08:06:21.2020663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2020739Z return self._forward_impl(x) 2025-09-07T08:06:21.2020951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2021021Z x = self.layer3(x) 2025-09-07T08:06:21.2021216Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2021278Z out = self.relu(out) 2025-09-07T08:06:21.2021283Z 2025-09-07T08:06:21.2021368Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2021462Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2021645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2021707Z return mod(*inputs) 2025-09-07T08:06:21.2021908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2021984Z return self._forward_impl(x) 2025-09-07T08:06:21.2022193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2022262Z x = self.layer3(x) 2025-09-07T08:06:21.2022458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2022529Z out = self.relu(out) 2025-09-07T08:06:21.2022532Z 2025-09-07T08:06:21.2022627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2022806Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2022875Z return mod(*inputs) 2025-09-07T08:06:21.2023069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2023143Z return self._forward_impl(x) 2025-09-07T08:06:21.2023354Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2023414Z x = self.layer3(x) 2025-09-07T08:06:21.2023616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2023676Z out = self.relu(out) 2025-09-07T08:06:21.2023679Z 2025-09-07T08:06:21.2023780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2023957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2024020Z return mod(*inputs) 2025-09-07T08:06:21.2024223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2024289Z return self._forward_impl(x) 2025-09-07T08:06:21.2024533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2024613Z x = self.layer3(x) 2025-09-07T08:06:21.2024805Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2024876Z out = self.relu(out) 2025-09-07T08:06:21.2024878Z 2025-09-07T08:06:21.2024975Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2025161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2025224Z return mod(*inputs) 2025-09-07T08:06:21.2025430Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2025512Z return self._forward_impl(x) 2025-09-07T08:06:21.2025721Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2025793Z x = self.layer3(x) 2025-09-07T08:06:21.2025991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2026062Z out = self.relu(out) 2025-09-07T08:06:21.2026065Z 2025-09-07T08:06:21.2026140Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2026234Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2026421Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2026483Z return mod(*inputs) 2025-09-07T08:06:21.2026684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2026753Z return self._forward_impl(x) 2025-09-07T08:06:21.2026962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2027032Z x = self.layer3(x) 2025-09-07T08:06:21.2027229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2027301Z out = self.relu(out) 2025-09-07T08:06:21.2027304Z 2025-09-07T08:06:21.2027398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2027586Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2027650Z return mod(*inputs) 2025-09-07T08:06:21.2027843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2027918Z return self._forward_impl(x) 2025-09-07T08:06:21.2028126Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2028201Z x = self.layer3(x) 2025-09-07T08:06:21.2028394Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2028455Z out = self.relu(out) 2025-09-07T08:06:21.2028460Z 2025-09-07T08:06:21.2028566Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2028743Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2028816Z return mod(*inputs) 2025-09-07T08:06:21.2029010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2029078Z return self._forward_impl(x) 2025-09-07T08:06:21.2029295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2029356Z x = self.layer3(x) 2025-09-07T08:06:21.2029560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2029622Z out = self.relu(out) 2025-09-07T08:06:21.2029626Z 2025-09-07T08:06:21.2029720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2029937Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2030013Z return mod(*inputs) 2025-09-07T08:06:21.2030219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2030288Z return self._forward_impl(x) 2025-09-07T08:06:21.2030504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2030564Z x = self.layer3(x) 2025-09-07T08:06:21.2030756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2030865Z out = self.relu(out) 2025-09-07T08:06:21.2030868Z 2025-09-07T08:06:21.2030942Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2031044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2031223Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2031289Z return mod(*inputs) 2025-09-07T08:06:21.2031491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2031559Z return self._forward_impl(x) 2025-09-07T08:06:21.2031772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2031835Z x = self.layer3(x) 2025-09-07T08:06:21.2032027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2032098Z out = self.relu(out) 2025-09-07T08:06:21.2032101Z 2025-09-07T08:06:21.2032197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2032383Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2032443Z return mod(*inputs) 2025-09-07T08:06:21.2032638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2032714Z return self._forward_impl(x) 2025-09-07T08:06:21.2032921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2032989Z x = self.layer3(x) 2025-09-07T08:06:21.2033182Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2033244Z out = self.relu(out) 2025-09-07T08:06:21.2033256Z 2025-09-07T08:06:21.2033354Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2033532Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2033606Z return mod(*inputs) 2025-09-07T08:06:21.2033799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2033871Z return self._forward_impl(x) 2025-09-07T08:06:21.2034081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2034140Z x = self.layer3(x) 2025-09-07T08:06:21.2034339Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2034404Z out = self.relu(out) 2025-09-07T08:06:21.2034407Z 2025-09-07T08:06:21.2034507Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2034681Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2034742Z return mod(*inputs) 2025-09-07T08:06:21.2034943Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2035008Z return self._forward_impl(x) 2025-09-07T08:06:21.2035223Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2035300Z x = self.layer3(x) 2025-09-07T08:06:21.2035523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2035598Z out = self.relu(out) 2025-09-07T08:06:21.2035601Z 2025-09-07T08:06:21.2035677Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2035780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2035958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2036027Z return mod(*inputs) 2025-09-07T08:06:21.2036222Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2036329Z return self._forward_impl(x) 2025-09-07T08:06:21.2036543Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2036603Z x = self.layer3(x) 2025-09-07T08:06:21.2036812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2036876Z out = self.relu(out) 2025-09-07T08:06:21.2036878Z 2025-09-07T08:06:21.2036972Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2037161Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2037222Z return mod(*inputs) 2025-09-07T08:06:21.2037423Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2037490Z return self._forward_impl(x) 2025-09-07T08:06:21.2037696Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2037768Z x = self.layer3(x) 2025-09-07T08:06:21.2037963Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2038034Z out = self.relu(out) 2025-09-07T08:06:21.2038039Z 2025-09-07T08:06:21.2038135Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2038313Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2038381Z return mod(*inputs) 2025-09-07T08:06:21.2038575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2038649Z return self._forward_impl(x) 2025-09-07T08:06:21.2038856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2038928Z x = self.layer3(x) 2025-09-07T08:06:21.2039123Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2039188Z out = self.relu(out) 2025-09-07T08:06:21.2039191Z 2025-09-07T08:06:21.2039296Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2039477Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2039545Z return mod(*inputs) 2025-09-07T08:06:21.2039738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2039803Z return self._forward_impl(x) 2025-09-07T08:06:21.2040020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2040082Z x = self.layer3(x) 2025-09-07T08:06:21.2040280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2040346Z out = self.relu(out) 2025-09-07T08:06:21.2040349Z 2025-09-07T08:06:21.2040424Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2040529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2040746Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2040831Z return mod(*inputs) 2025-09-07T08:06:21.2041033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2041101Z return self._forward_impl(x) 2025-09-07T08:06:21.2041327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2041388Z x = self.layer3(x) 2025-09-07T08:06:21.2041595Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2041659Z out = self.relu(out) 2025-09-07T08:06:21.2041678Z 2025-09-07T08:06:21.2041783Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2041965Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2042027Z return mod(*inputs) 2025-09-07T08:06:21.2042237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2042305Z return self._forward_impl(x) 2025-09-07T08:06:21.2042523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2042584Z x = self.layer3(x) 2025-09-07T08:06:21.2042780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2042850Z out = self.relu(out) 2025-09-07T08:06:21.2042853Z 2025-09-07T08:06:21.2042946Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2043135Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2043196Z return mod(*inputs) 2025-09-07T08:06:21.2043390Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2043467Z return self._forward_impl(x) 2025-09-07T08:06:21.2043677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2043745Z x = self.layer3(x) 2025-09-07T08:06:21.2043939Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2044000Z out = self.relu(out) 2025-09-07T08:06:21.2044011Z 2025-09-07T08:06:21.2044104Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2044282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2044351Z return mod(*inputs) 2025-09-07T08:06:21.2044546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2044618Z return self._forward_impl(x) 2025-09-07T08:06:21.2044827Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2044893Z x = self.layer3(x) 2025-09-07T08:06:21.2045092Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2045154Z out = self.relu(out) 2025-09-07T08:06:21.2045157Z 2025-09-07T08:06:21.2045239Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2045333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2045514Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2045585Z return mod(*inputs) 2025-09-07T08:06:21.2045779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2045857Z return self._forward_impl(x) 2025-09-07T08:06:21.2046067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2046145Z x = self.layer3(x) 2025-09-07T08:06:21.2046376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2046440Z out = self.relu(out) 2025-09-07T08:06:21.2046443Z 2025-09-07T08:06:21.2046547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2046726Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2046786Z return mod(*inputs) 2025-09-07T08:06:21.2046987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2047054Z return self._forward_impl(x) 2025-09-07T08:06:21.2047285Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2047345Z x = self.layer3(x) 2025-09-07T08:06:21.2047544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2047612Z out = self.relu(out) 2025-09-07T08:06:21.2047615Z 2025-09-07T08:06:21.2047707Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2047890Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2047952Z return mod(*inputs) 2025-09-07T08:06:21.2048149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2048216Z return self._forward_impl(x) 2025-09-07T08:06:21.2048426Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2048535Z x = self.layer3(x) 2025-09-07T08:06:21.2048730Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2048798Z out = self.relu(out) 2025-09-07T08:06:21.2048801Z 2025-09-07T08:06:21.2048896Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2049076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2049148Z return mod(*inputs) 2025-09-07T08:06:21.2049343Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2049420Z return self._forward_impl(x) 2025-09-07T08:06:21.2049629Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2049691Z x = self.layer3(x) 2025-09-07T08:06:21.2049893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2049958Z out = self.relu(out) 2025-09-07T08:06:21.2049962Z 2025-09-07T08:06:21.2050047Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2050142Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2050335Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2050399Z return mod(*inputs) 2025-09-07T08:06:21.2050596Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2050671Z return self._forward_impl(x) 2025-09-07T08:06:21.2050882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2050953Z x = self.layer3(x) 2025-09-07T08:06:21.2051150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2051215Z out = self.relu(out) 2025-09-07T08:06:21.2051218Z 2025-09-07T08:06:21.2051321Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2051503Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2051575Z return mod(*inputs) 2025-09-07T08:06:21.2051847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2051914Z return self._forward_impl(x) 2025-09-07T08:06:21.2052134Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2052195Z x = self.layer3(x) 2025-09-07T08:06:21.2052396Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2052458Z out = self.relu(out) 2025-09-07T08:06:21.2052461Z 2025-09-07T08:06:21.2052556Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2052770Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2052834Z return mod(*inputs) 2025-09-07T08:06:21.2053041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2053114Z return self._forward_impl(x) 2025-09-07T08:06:21.2053341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2053403Z x = self.layer3(x) 2025-09-07T08:06:21.2053602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2053671Z out = self.relu(out) 2025-09-07T08:06:21.2053674Z 2025-09-07T08:06:21.2053769Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2053958Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2054024Z return mod(*inputs) 2025-09-07T08:06:21.2054220Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2054296Z return self._forward_impl(x) 2025-09-07T08:06:21.2054511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2054581Z x = self.layer3(x) 2025-09-07T08:06:21.2054778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2054840Z out = self.relu(out) 2025-09-07T08:06:21.2054843Z 2025-09-07T08:06:21.2054926Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2055021Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2055209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2055275Z return mod(*inputs) 2025-09-07T08:06:21.2055472Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2055544Z return self._forward_impl(x) 2025-09-07T08:06:21.2055754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2055825Z x = self.layer3(x) 2025-09-07T08:06:21.2056022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2056095Z out = self.relu(out) 2025-09-07T08:06:21.2056098Z 2025-09-07T08:06:21.2056193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2056372Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2056441Z return mod(*inputs) 2025-09-07T08:06:21.2056635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2056710Z return self._forward_impl(x) 2025-09-07T08:06:21.2056921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2056981Z x = self.layer3(x) 2025-09-07T08:06:21.2057215Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2057291Z out = self.relu(out) 2025-09-07T08:06:21.2057294Z 2025-09-07T08:06:21.2057395Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2057574Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2057634Z return mod(*inputs) 2025-09-07T08:06:21.2057836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2057900Z return self._forward_impl(x) 2025-09-07T08:06:21.2058116Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2058201Z x = self.layer3(x) 2025-09-07T08:06:21.2058398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2058468Z out = self.relu(out) 2025-09-07T08:06:21.2058473Z 2025-09-07T08:06:21.2058573Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2058760Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2058820Z return mod(*inputs) 2025-09-07T08:06:21.2059022Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2059087Z return self._forward_impl(x) 2025-09-07T08:06:21.2059296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2059368Z x = self.layer3(x) 2025-09-07T08:06:21.2059564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2059635Z out = self.relu(out) 2025-09-07T08:06:21.2059639Z 2025-09-07T08:06:21.2059713Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2059807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2060000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2060061Z return mod(*inputs) 2025-09-07T08:06:21.2060266Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2060332Z return self._forward_impl(x) 2025-09-07T08:06:21.2060542Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2060609Z x = self.layer3(x) 2025-09-07T08:06:21.2060804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2060877Z out = self.relu(out) 2025-09-07T08:06:21.2060880Z 2025-09-07T08:06:21.2060974Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2061156Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2061229Z return mod(*inputs) 2025-09-07T08:06:21.2061424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2061496Z return self._forward_impl(x) 2025-09-07T08:06:21.2061711Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2061779Z x = self.layer3(x) 2025-09-07T08:06:21.2061975Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2062038Z out = self.relu(out) 2025-09-07T08:06:21.2062041Z 2025-09-07T08:06:21.2062145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2062323Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2062395Z return mod(*inputs) 2025-09-07T08:06:21.2062621Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2062704Z return self._forward_impl(x) 2025-09-07T08:06:21.2062923Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2062984Z x = self.layer3(x) 2025-09-07T08:06:21.2063191Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2063254Z out = self.relu(out) 2025-09-07T08:06:21.2063257Z 2025-09-07T08:06:21.2063353Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2063539Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2063620Z return mod(*inputs) 2025-09-07T08:06:21.2063823Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2063890Z return self._forward_impl(x) 2025-09-07T08:06:21.2064104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2064176Z x = self.layer3(x) 2025-09-07T08:06:21.2064372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2064441Z out = self.relu(out) 2025-09-07T08:06:21.2064444Z 2025-09-07T08:06:21.2064517Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2064629Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2064810Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2064873Z return mod(*inputs) 2025-09-07T08:06:21.2065075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2065140Z return self._forward_impl(x) 2025-09-07T08:06:21.2065359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2065422Z x = self.layer3(x) 2025-09-07T08:06:21.2065616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2065688Z out = self.relu(out) 2025-09-07T08:06:21.2065691Z 2025-09-07T08:06:21.2065787Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2065973Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2066033Z return mod(*inputs) 2025-09-07T08:06:21.2066230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2066308Z return self._forward_impl(x) 2025-09-07T08:06:21.2066520Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2066591Z x = self.layer3(x) 2025-09-07T08:06:21.2066793Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2066856Z out = self.relu(out) 2025-09-07T08:06:21.2066867Z 2025-09-07T08:06:21.2066964Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2067145Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2067215Z return mod(*inputs) 2025-09-07T08:06:21.2067410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2067483Z return self._forward_impl(x) 2025-09-07T08:06:21.2067693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2067755Z x = self.layer3(x) 2025-09-07T08:06:21.2067959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2068041Z out = self.relu(out) 2025-09-07T08:06:21.2068069Z 2025-09-07T08:06:21.2068176Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2068354Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2068414Z return mod(*inputs) 2025-09-07T08:06:21.2068616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2068682Z return self._forward_impl(x) 2025-09-07T08:06:21.2068897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2068976Z x = self.layer3(x) 2025-09-07T08:06:21.2069174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2069244Z out = self.relu(out) 2025-09-07T08:06:21.2069246Z 2025-09-07T08:06:21.2069321Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2069430Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2069614Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2069676Z return mod(*inputs) 2025-09-07T08:06:21.2069882Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2069949Z return self._forward_impl(x) 2025-09-07T08:06:21.2070175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2070235Z x = self.layer3(x) 2025-09-07T08:06:21.2070441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2070506Z out = self.relu(out) 2025-09-07T08:06:21.2070509Z 2025-09-07T08:06:21.2070601Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2070792Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2070856Z return mod(*inputs) 2025-09-07T08:06:21.2071061Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2071127Z return self._forward_impl(x) 2025-09-07T08:06:21.2071342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2071411Z x = self.layer3(x) 2025-09-07T08:06:21.2071607Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2071676Z out = self.relu(out) 2025-09-07T08:06:21.2071681Z 2025-09-07T08:06:21.2071775Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2071957Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2072028Z return mod(*inputs) 2025-09-07T08:06:21.2072229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2072305Z return self._forward_impl(x) 2025-09-07T08:06:21.2072519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2072581Z x = self.layer3(x) 2025-09-07T08:06:21.2072786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2072849Z out = self.relu(out) 2025-09-07T08:06:21.2072851Z 2025-09-07T08:06:21.2072957Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2073140Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2073209Z return mod(*inputs) 2025-09-07T08:06:21.2073407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2073490Z return self._forward_impl(x) 2025-09-07T08:06:21.2073737Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2073800Z x = self.layer3(x) 2025-09-07T08:06:21.2074003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2074065Z out = self.relu(out) 2025-09-07T08:06:21.2074068Z 2025-09-07T08:06:21.2074142Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2074246Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2074426Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2074513Z return mod(*inputs) 2025-09-07T08:06:21.2074709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2074776Z return self._forward_impl(x) 2025-09-07T08:06:21.2074994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2075056Z x = self.layer3(x) 2025-09-07T08:06:21.2075257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2075320Z out = self.relu(out) 2025-09-07T08:06:21.2075323Z 2025-09-07T08:06:21.2075423Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2075602Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2075664Z return mod(*inputs) 2025-09-07T08:06:21.2075866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2075935Z return self._forward_impl(x) 2025-09-07T08:06:21.2076150Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2076212Z x = self.layer3(x) 2025-09-07T08:06:21.2076410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2076479Z out = self.relu(out) 2025-09-07T08:06:21.2076481Z 2025-09-07T08:06:21.2076576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2076763Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2076826Z return mod(*inputs) 2025-09-07T08:06:21.2077020Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2077094Z return self._forward_impl(x) 2025-09-07T08:06:21.2077305Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2077371Z x = self.layer3(x) 2025-09-07T08:06:21.2077567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2077632Z out = self.relu(out) 2025-09-07T08:06:21.2077635Z 2025-09-07T08:06:21.2077739Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2077919Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2077991Z return mod(*inputs) 2025-09-07T08:06:21.2078186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2078260Z return self._forward_impl(x) 2025-09-07T08:06:21.2078469Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2078530Z x = self.layer3(x) 2025-09-07T08:06:21.2078732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2078795Z out = self.relu(out) 2025-09-07T08:06:21.2078798Z 2025-09-07T08:06:21.2078895Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2079029Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2079211Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2079282Z return mod(*inputs) 2025-09-07T08:06:21.2079478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2079552Z return self._forward_impl(x) 2025-09-07T08:06:21.2079758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2079819Z x = self.layer3(x) 2025-09-07T08:06:21.2080037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2080099Z out = self.relu(out) 2025-09-07T08:06:21.2080102Z 2025-09-07T08:06:21.2080203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2080386Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2080447Z return mod(*inputs) 2025-09-07T08:06:21.2080648Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2080713Z return self._forward_impl(x) 2025-09-07T08:06:21.2080930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2080992Z x = self.layer3(x) 2025-09-07T08:06:21.2081184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2081254Z out = self.relu(out) 2025-09-07T08:06:21.2081257Z 2025-09-07T08:06:21.2081349Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2081536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2081597Z return mod(*inputs) 2025-09-07T08:06:21.2081799Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2081865Z return self._forward_impl(x) 2025-09-07T08:06:21.2082072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2082143Z x = self.layer3(x) 2025-09-07T08:06:21.2082336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2082404Z out = self.relu(out) 2025-09-07T08:06:21.2082406Z 2025-09-07T08:06:21.2082499Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2082678Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2082749Z return mod(*inputs) 2025-09-07T08:06:21.2082942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2083022Z return self._forward_impl(x) 2025-09-07T08:06:21.2083229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2083289Z x = self.layer3(x) 2025-09-07T08:06:21.2083488Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2083550Z out = self.relu(out) 2025-09-07T08:06:21.2083553Z 2025-09-07T08:06:21.2083634Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2083729Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2083916Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2083978Z return mod(*inputs) 2025-09-07T08:06:21.2084170Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2084244Z return self._forward_impl(x) 2025-09-07T08:06:21.2084494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2084565Z x = self.layer3(x) 2025-09-07T08:06:21.2084758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2084821Z out = self.relu(out) 2025-09-07T08:06:21.2084824Z 2025-09-07T08:06:21.2084927Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2085107Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2085175Z return mod(*inputs) 2025-09-07T08:06:21.2085387Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2085454Z return self._forward_impl(x) 2025-09-07T08:06:21.2085670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2085736Z x = self.layer3(x) 2025-09-07T08:06:21.2085944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2086007Z out = self.relu(out) 2025-09-07T08:06:21.2086009Z 2025-09-07T08:06:21.2086104Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2086289Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2086350Z return mod(*inputs) 2025-09-07T08:06:21.2086551Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2086622Z return self._forward_impl(x) 2025-09-07T08:06:21.2086840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2086901Z x = self.layer3(x) 2025-09-07T08:06:21.2087097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2087171Z out = self.relu(out) 2025-09-07T08:06:21.2087174Z 2025-09-07T08:06:21.2087269Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2087456Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2087517Z return mod(*inputs) 2025-09-07T08:06:21.2087712Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2087784Z return self._forward_impl(x) 2025-09-07T08:06:21.2087993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2088064Z x = self.layer3(x) 2025-09-07T08:06:21.2088255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2088317Z out = self.relu(out) 2025-09-07T08:06:21.2088322Z 2025-09-07T08:06:21.2088411Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2088506Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2088690Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2088751Z return mod(*inputs) 2025-09-07T08:06:21.2088944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2089022Z return self._forward_impl(x) 2025-09-07T08:06:21.2089231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2089301Z x = self.layer3(x) 2025-09-07T08:06:21.2089495Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2089557Z out = self.relu(out) 2025-09-07T08:06:21.2089568Z 2025-09-07T08:06:21.2089662Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2089884Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2089958Z return mod(*inputs) 2025-09-07T08:06:21.2090154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2090228Z return self._forward_impl(x) 2025-09-07T08:06:21.2090437Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2090501Z x = self.layer3(x) 2025-09-07T08:06:21.2090703Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2090785Z out = self.relu(out) 2025-09-07T08:06:21.2090788Z 2025-09-07T08:06:21.2090892Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2091071Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2091138Z return mod(*inputs) 2025-09-07T08:06:21.2091342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2091411Z return self._forward_impl(x) 2025-09-07T08:06:21.2091626Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2091686Z x = self.layer3(x) 2025-09-07T08:06:21.2091881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2091950Z out = self.relu(out) 2025-09-07T08:06:21.2091954Z 2025-09-07T08:06:21.2092048Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2092237Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2092300Z return mod(*inputs) 2025-09-07T08:06:21.2092506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2092575Z return self._forward_impl(x) 2025-09-07T08:06:21.2092783Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2092850Z x = self.layer3(x) 2025-09-07T08:06:21.2093045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2093112Z out = self.relu(out) 2025-09-07T08:06:21.2093115Z 2025-09-07T08:06:21.2093190Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2093284Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2093472Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2093534Z return mod(*inputs) 2025-09-07T08:06:21.2093734Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2093807Z return self._forward_impl(x) 2025-09-07T08:06:21.2094018Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2094086Z x = self.layer3(x) 2025-09-07T08:06:21.2094280Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2094349Z out = self.relu(out) 2025-09-07T08:06:21.2094352Z 2025-09-07T08:06:21.2094445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2094623Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2094695Z return mod(*inputs) 2025-09-07T08:06:21.2094888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2094963Z return self._forward_impl(x) 2025-09-07T08:06:21.2095199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2095284Z x = self.layer3(x) 2025-09-07T08:06:21.2095483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2095546Z out = self.relu(out) 2025-09-07T08:06:21.2095549Z 2025-09-07T08:06:21.2095650Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2095832Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2095900Z return mod(*inputs) 2025-09-07T08:06:21.2096099Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2096182Z return self._forward_impl(x) 2025-09-07T08:06:21.2096400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2096463Z x = self.layer3(x) 2025-09-07T08:06:21.2096670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2096732Z out = self.relu(out) 2025-09-07T08:06:21.2096735Z 2025-09-07T08:06:21.2096830Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2097015Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2097076Z return mod(*inputs) 2025-09-07T08:06:21.2097278Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2097345Z return self._forward_impl(x) 2025-09-07T08:06:21.2097557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:21.2097627Z x = self.layer3(x) 2025-09-07T08:06:21.2097821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2097893Z out = self.relu(out) 2025-09-07T08:06:21.2097898Z 2025-09-07T08:06:21.2097974Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2098076Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2098256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2098319Z return mod(*inputs) 2025-09-07T08:06:21.2098523Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2098590Z return self._forward_impl(x) 2025-09-07T08:06:21.2098808Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2098873Z x = self.layer4(x) 2025-09-07T08:06:21.2099066Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2099137Z out = self.relu(out) 2025-09-07T08:06:21.2099140Z 2025-09-07T08:06:21.2099239Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2099428Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2099489Z return mod(*inputs) 2025-09-07T08:06:21.2099684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2099760Z return self._forward_impl(x) 2025-09-07T08:06:21.2099968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2100037Z x = self.layer4(x) 2025-09-07T08:06:21.2100231Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2100295Z out = self.relu(out) 2025-09-07T08:06:21.2100305Z 2025-09-07T08:06:21.2100400Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2100617Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2100705Z return mod(*inputs) 2025-09-07T08:06:21.2100902Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2100974Z return self._forward_impl(x) 2025-09-07T08:06:21.2101190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2101250Z x = self.layer4(x) 2025-09-07T08:06:21.2101458Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2101522Z out = self.relu(out) 2025-09-07T08:06:21.2101541Z 2025-09-07T08:06:21.2101646Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2101824Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2101884Z return mod(*inputs) 2025-09-07T08:06:21.2102094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2102160Z return self._forward_impl(x) 2025-09-07T08:06:21.2102378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2102440Z x = self.layer4(x) 2025-09-07T08:06:21.2102635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2102706Z out = self.relu(out) 2025-09-07T08:06:21.2102709Z 2025-09-07T08:06:21.2102802Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2102990Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2103052Z return mod(*inputs) 2025-09-07T08:06:21.2103246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2103322Z return self._forward_impl(x) 2025-09-07T08:06:21.2103534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2103603Z x = self.layer4(x) 2025-09-07T08:06:21.2103800Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:06:21.2103872Z out = self.relu(out) 2025-09-07T08:06:21.2103875Z 2025-09-07T08:06:21.2103969Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2104149Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2104221Z return mod(*inputs) 2025-09-07T08:06:21.2104415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2104487Z return self._forward_impl(x) 2025-09-07T08:06:21.2104698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2104762Z x = self.layer4(x) 2025-09-07T08:06:21.2104962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:06:21.2105025Z out = self.relu(out) 2025-09-07T08:06:21.2105028Z 2025-09-07T08:06:21.2105109Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2105203Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2105381Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2105451Z return mod(*inputs) 2025-09-07T08:06:21.2105643Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2105717Z return self._forward_impl(x) 2025-09-07T08:06:21.2105927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2106003Z x = self.layer4(x) 2025-09-07T08:06:21.2106242Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2106304Z out = self.relu(out) 2025-09-07T08:06:21.2106307Z 2025-09-07T08:06:21.2106412Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2106591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2106664Z return mod(*inputs) 2025-09-07T08:06:21.2106859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2106925Z return self._forward_impl(x) 2025-09-07T08:06:21.2107159Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2107220Z x = self.layer4(x) 2025-09-07T08:06:21.2107418Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2107485Z out = self.relu(out) 2025-09-07T08:06:21.2107488Z 2025-09-07T08:06:21.2107581Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2107769Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2107831Z return mod(*inputs) 2025-09-07T08:06:21.2108030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2108098Z return self._forward_impl(x) 2025-09-07T08:06:21.2108309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2108380Z x = self.layer4(x) 2025-09-07T08:06:21.2108575Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2108647Z out = self.relu(out) 2025-09-07T08:06:21.2108650Z 2025-09-07T08:06:21.2108749Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2108927Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2108999Z return mod(*inputs) 2025-09-07T08:06:21.2109192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2109269Z return self._forward_impl(x) 2025-09-07T08:06:21.2109477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2109546Z x = self.layer4(x) 2025-09-07T08:06:21.2109741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2109807Z out = self.relu(out) 2025-09-07T08:06:21.2109810Z 2025-09-07T08:06:21.2109895Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2109989Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2110184Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2110248Z return mod(*inputs) 2025-09-07T08:06:21.2110441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2110518Z return self._forward_impl(x) 2025-09-07T08:06:21.2110724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2110793Z x = self.layer4(x) 2025-09-07T08:06:21.2110985Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2111048Z out = self.relu(out) 2025-09-07T08:06:21.2111051Z 2025-09-07T08:06:21.2111154Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2111333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2111429Z return mod(*inputs) 2025-09-07T08:06:21.2111654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2111723Z return self._forward_impl(x) 2025-09-07T08:06:21.2111940Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2112001Z x = self.layer4(x) 2025-09-07T08:06:21.2112204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:06:21.2112267Z out = self.relu(out) 2025-09-07T08:06:21.2112269Z 2025-09-07T08:06:21.2112369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2112567Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2112630Z return mod(*inputs) 2025-09-07T08:06:21.2112834Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2112904Z return self._forward_impl(x) 2025-09-07T08:06:21.2113125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2113185Z x = self.layer4(x) 2025-09-07T08:06:21.2113378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2113450Z out = self.relu(out) 2025-09-07T08:06:21.2113453Z 2025-09-07T08:06:21.2113547Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2113733Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2113798Z return mod(*inputs) 2025-09-07T08:06:21.2113994Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2114068Z return self._forward_impl(x) 2025-09-07T08:06:21.2114279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:21.2114352Z x = self.layer4(x) 2025-09-07T08:06:21.2114546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:06:21.2114610Z out = self.relu(out) 2025-09-07T08:06:21.2114622Z 2025-09-07T08:06:21.2114696Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2114770Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2114875Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:21.2115056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:21.2115131Z return mod(*inputs) 2025-09-07T08:06:21.2115329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:21.2115394Z return self._forward_impl(x) 2025-09-07T08:06:21.2115618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl 2025-09-07T08:06:21.2115684Z x = self.avgpool(x) 2025-09-07T08:06:21.2115687Z 2025-09-07T08:06:21.2115768Z cudagraph partition due to non gpu ops 2025-09-07T08:06:21.2115842Z cudagraph partition due to non gpu ops 2025-09-07T08:06:30.7054133Z pass 2025-09-07T08:06:30.7056018Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:32.4513160Z /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. 2025-09-07T08:06:32.4514781Z import pynvml # type: ignore[import] 2025-09-07T08:06:34.1584652Z 2025-09-07T08:06:34.5213702Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:06:34.5214027Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:06:34.5214769Z cpu eval resnet18 2025-09-07T08:06:34.6952207Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:34.7237188Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:34.7474868Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:39.3589534Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3591270Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3592024Z return mod(*inputs) 2025-09-07T08:06:39.3592381Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3592730Z return self._forward_impl(x) 2025-09-07T08:06:39.3593074Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-09-07T08:06:39.3593438Z x = self.conv1(x) 2025-09-07T08:06:39.3593544Z 2025-09-07T08:06:39.3593647Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3594001Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3594308Z return mod(*inputs) 2025-09-07T08:06:39.3594617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3594942Z return self._forward_impl(x) 2025-09-07T08:06:39.3595279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-09-07T08:06:39.3595617Z x = self.relu(x) 2025-09-07T08:06:39.3595711Z 2025-09-07T08:06:39.3595817Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3596157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3596456Z return mod(*inputs) 2025-09-07T08:06:39.3596766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3597097Z return self._forward_impl(x) 2025-09-07T08:06:39.3597424Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-09-07T08:06:39.3597749Z x = self.relu(x) 2025-09-07T08:06:39.3597850Z 2025-09-07T08:06:39.3597948Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3598285Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3598590Z return mod(*inputs) 2025-09-07T08:06:39.3598891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3599210Z return self._forward_impl(x) 2025-09-07T08:06:39.3599605Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:39.3599932Z x = self.layer1(x) 2025-09-07T08:06:39.3600239Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:06:39.3600566Z out = self.relu(out) 2025-09-07T08:06:39.3600671Z 2025-09-07T08:06:39.3600780Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3601121Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3601416Z return mod(*inputs) 2025-09-07T08:06:39.3601716Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3602050Z return self._forward_impl(x) 2025-09-07T08:06:39.3602385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:39.3602712Z x = self.layer1(x) 2025-09-07T08:06:39.3603184Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3603511Z out = self.relu(out) 2025-09-07T08:06:39.3603613Z 2025-09-07T08:06:39.3603721Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3604056Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3604349Z return mod(*inputs) 2025-09-07T08:06:39.3604649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3604974Z return self._forward_impl(x) 2025-09-07T08:06:39.3605299Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:39.3605650Z x = self.layer1(x) 2025-09-07T08:06:39.3605947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3606265Z out = self.relu(out) 2025-09-07T08:06:39.3606367Z 2025-09-07T08:06:39.3606456Z cudagraph partition due to non gpu ops 2025-09-07T08:06:39.3606686Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3607017Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3607323Z return mod(*inputs) 2025-09-07T08:06:39.3607623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3607947Z return self._forward_impl(x) 2025-09-07T08:06:39.3608269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:39.3608606Z x = self.layer1(x) 2025-09-07T08:06:39.3608899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3609214Z out = self.relu(out) 2025-09-07T08:06:39.3609312Z 2025-09-07T08:06:39.3609417Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3609747Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3610049Z return mod(*inputs) 2025-09-07T08:06:39.3610347Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3610673Z return self._forward_impl(x) 2025-09-07T08:06:39.3610995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:06:39.3611327Z x = self.layer1(x) 2025-09-07T08:06:39.3611618Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3611940Z out = self.relu(out) 2025-09-07T08:06:39.3612038Z 2025-09-07T08:06:39.3612117Z cudagraph partition due to non gpu ops 2025-09-07T08:06:39.3612351Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3612694Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3612998Z return mod(*inputs) 2025-09-07T08:06:39.3613298Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3613614Z return self._forward_impl(x) 2025-09-07T08:06:39.3613945Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:39.3614277Z x = self.layer2(x) 2025-09-07T08:06:39.3614573Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3614887Z out = self.relu(out) 2025-09-07T08:06:39.3615000Z 2025-09-07T08:06:39.3615098Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3615435Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3615759Z return mod(*inputs) 2025-09-07T08:06:39.3616091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3616407Z return self._forward_impl(x) 2025-09-07T08:06:39.3616738Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:39.3617072Z x = self.layer2(x) 2025-09-07T08:06:39.3617361Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3617668Z out = self.relu(out) 2025-09-07T08:06:39.3617775Z 2025-09-07T08:06:39.3617874Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3618255Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3618555Z return mod(*inputs) 2025-09-07T08:06:39.3618854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3619178Z return self._forward_impl(x) 2025-09-07T08:06:39.3619504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:39.3619832Z x = self.layer2(x) 2025-09-07T08:06:39.3620129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:06:39.3620440Z out = self.relu(out) 2025-09-07T08:06:39.3620546Z 2025-09-07T08:06:39.3620648Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3620984Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3621290Z return mod(*inputs) 2025-09-07T08:06:39.3621588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3621905Z return self._forward_impl(x) 2025-09-07T08:06:39.3622236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:39.3622576Z x = self.layer2(x) 2025-09-07T08:06:39.3622867Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:06:39.3623179Z out = self.relu(out) 2025-09-07T08:06:39.3623285Z 2025-09-07T08:06:39.3623362Z cudagraph partition due to non gpu ops 2025-09-07T08:06:39.3623592Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3623928Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3624227Z return mod(*inputs) 2025-09-07T08:06:39.3624518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3624840Z return self._forward_impl(x) 2025-09-07T08:06:39.3625167Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:39.3625503Z x = self.layer2(x) 2025-09-07T08:06:39.3625789Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3626102Z out = self.relu(out) 2025-09-07T08:06:39.3626210Z 2025-09-07T08:06:39.3626308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3626645Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3626946Z return mod(*inputs) 2025-09-07T08:06:39.3627236Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3627560Z return self._forward_impl(x) 2025-09-07T08:06:39.3627888Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:06:39.3628219Z x = self.layer2(x) 2025-09-07T08:06:39.3628533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3628898Z out = self.relu(out) 2025-09-07T08:06:39.3628997Z 2025-09-07T08:06:39.3629074Z cudagraph partition due to non gpu ops 2025-09-07T08:06:39.3629305Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3629637Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3629941Z return mod(*inputs) 2025-09-07T08:06:39.3630237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3630555Z return self._forward_impl(x) 2025-09-07T08:06:39.3630897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:39.3631226Z x = self.layer3(x) 2025-09-07T08:06:39.3631519Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3631831Z out = self.relu(out) 2025-09-07T08:06:39.3631937Z 2025-09-07T08:06:39.3632037Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3632370Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3632672Z return mod(*inputs) 2025-09-07T08:06:39.3632970Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3633286Z return self._forward_impl(x) 2025-09-07T08:06:39.3633615Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:39.3633946Z x = self.layer3(x) 2025-09-07T08:06:39.3634240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3634544Z out = self.relu(out) 2025-09-07T08:06:39.3634650Z 2025-09-07T08:06:39.3634749Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3635090Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3635388Z return mod(*inputs) 2025-09-07T08:06:39.3635686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3636004Z return self._forward_impl(x) 2025-09-07T08:06:39.3636328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:39.3636657Z x = self.layer3(x) 2025-09-07T08:06:39.3636955Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:06:39.3637267Z out = self.relu(out) 2025-09-07T08:06:39.3637374Z 2025-09-07T08:06:39.3637469Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3637803Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3638108Z return mod(*inputs) 2025-09-07T08:06:39.3638404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3638718Z return self._forward_impl(x) 2025-09-07T08:06:39.3639043Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:39.3639375Z x = self.layer3(x) 2025-09-07T08:06:39.3639668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:06:39.3639983Z out = self.relu(out) 2025-09-07T08:06:39.3640092Z 2025-09-07T08:06:39.3640171Z cudagraph partition due to non gpu ops 2025-09-07T08:06:39.3640405Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3640740Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3641041Z return mod(*inputs) 2025-09-07T08:06:39.3641385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3641711Z return self._forward_impl(x) 2025-09-07T08:06:39.3642042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:39.3642370Z x = self.layer3(x) 2025-09-07T08:06:39.3642659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3642975Z out = self.relu(out) 2025-09-07T08:06:39.3643084Z 2025-09-07T08:06:39.3643181Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3643538Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3643840Z return mod(*inputs) 2025-09-07T08:06:39.3644136Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3644466Z return self._forward_impl(x) 2025-09-07T08:06:39.3644795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:06:39.3645129Z x = self.layer3(x) 2025-09-07T08:06:39.3645419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3645738Z out = self.relu(out) 2025-09-07T08:06:39.3645849Z 2025-09-07T08:06:39.3645926Z cudagraph partition due to non gpu ops 2025-09-07T08:06:39.3646158Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3646497Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3646795Z return mod(*inputs) 2025-09-07T08:06:39.3647097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3647422Z return self._forward_impl(x) 2025-09-07T08:06:39.3647757Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:39.3648085Z x = self.layer4(x) 2025-09-07T08:06:39.3648380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3648787Z out = self.relu(out) 2025-09-07T08:06:39.3648886Z 2025-09-07T08:06:39.3648995Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3649333Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3649628Z return mod(*inputs) 2025-09-07T08:06:39.3649930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3650258Z return self._forward_impl(x) 2025-09-07T08:06:39.3650587Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:39.3650919Z x = self.layer4(x) 2025-09-07T08:06:39.3651219Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3651579Z out = self.relu(out) 2025-09-07T08:06:39.3651681Z 2025-09-07T08:06:39.3651790Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3652132Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3652430Z return mod(*inputs) 2025-09-07T08:06:39.3652733Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3653065Z return self._forward_impl(x) 2025-09-07T08:06:39.3653406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:39.3675684Z x = self.layer4(x) 2025-09-07T08:06:39.3676226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:06:39.3676647Z out = self.relu(out) 2025-09-07T08:06:39.3676763Z 2025-09-07T08:06:39.3676890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3677314Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3677708Z return mod(*inputs) 2025-09-07T08:06:39.3678069Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3678549Z return self._forward_impl(x) 2025-09-07T08:06:39.3678920Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:39.3679353Z x = self.layer4(x) 2025-09-07T08:06:39.3679674Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 103, in forward 2025-09-07T08:06:39.3680011Z out = self.relu(out) 2025-09-07T08:06:39.3680124Z 2025-09-07T08:06:39.3680219Z cudagraph partition due to non gpu ops 2025-09-07T08:06:39.3680459Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3680817Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3681139Z return mod(*inputs) 2025-09-07T08:06:39.3681470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3681802Z return self._forward_impl(x) 2025-09-07T08:06:39.3682160Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:39.3682510Z x = self.layer4(x) 2025-09-07T08:06:39.3682816Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3683140Z out = self.relu(out) 2025-09-07T08:06:39.3683244Z 2025-09-07T08:06:39.3683347Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3683700Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3684011Z return mod(*inputs) 2025-09-07T08:06:39.3684320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3684647Z return self._forward_impl(x) 2025-09-07T08:06:39.3684990Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:06:39.3685330Z x = self.layer4(x) 2025-09-07T08:06:39.3685634Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 94, in forward 2025-09-07T08:06:39.3685960Z out = self.relu(out) 2025-09-07T08:06:39.3686064Z 2025-09-07T08:06:39.3686144Z cudagraph partition due to non gpu ops 2025-09-07T08:06:39.3686357Z cudagraph partition due to non gpu ops 2025-09-07T08:06:39.3686590Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:06:39.3686944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:06:39.3687250Z return mod(*inputs) 2025-09-07T08:06:39.3687616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:06:39.3687955Z return self._forward_impl(x) 2025-09-07T08:06:39.3688290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl 2025-09-07T08:06:39.3688626Z x = self.avgpool(x) 2025-09-07T08:06:39.3688733Z 2025-09-07T08:06:39.3688811Z cudagraph partition due to non gpu ops 2025-09-07T08:06:39.3689022Z cudagraph partition due to non gpu ops 2025-09-07T08:06:47.2980509Z pass 2025-09-07T08:06:47.2980917Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:48.8310515Z /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. 2025-09-07T08:06:48.8312283Z import pynvml # type: ignore[import] 2025-09-07T08:06:50.5477021Z 2025-09-07T08:06:51.0809791Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:06:51.0810144Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:06:51.0810422Z cpu eval resnet50 2025-09-07T08:06:51.4369793Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:51.4973002Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:06:51.5571831Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:00.2498555Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2499019Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2499372Z return mod(*inputs) 2025-09-07T08:07:00.2499726Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2500209Z return self._forward_impl(x) 2025-09-07T08:07:00.2500556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl 2025-09-07T08:07:00.2500893Z x = self.conv1(x) 2025-09-07T08:07:00.2501006Z 2025-09-07T08:07:00.2501111Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2501461Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2501777Z return mod(*inputs) 2025-09-07T08:07:00.2502083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2502420Z return self._forward_impl(x) 2025-09-07T08:07:00.2502772Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-09-07T08:07:00.2503109Z x = self.relu(x) 2025-09-07T08:07:00.2503207Z 2025-09-07T08:07:00.2503313Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2503648Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2503957Z return mod(*inputs) 2025-09-07T08:07:00.2504260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2504591Z return self._forward_impl(x) 2025-09-07T08:07:00.2504918Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl 2025-09-07T08:07:00.2505249Z x = self.relu(x) 2025-09-07T08:07:00.2505352Z 2025-09-07T08:07:00.2505449Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2505808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2506117Z return mod(*inputs) 2025-09-07T08:07:00.2506419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2506757Z return self._forward_impl(x) 2025-09-07T08:07:00.2507097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl 2025-09-07T08:07:00.2507442Z x = self.maxpool(x) 2025-09-07T08:07:00.2507545Z 2025-09-07T08:07:00.2507652Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2507999Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2508305Z return mod(*inputs) 2025-09-07T08:07:00.2508613Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2508948Z return self._forward_impl(x) 2025-09-07T08:07:00.2509590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2509935Z x = self.layer1(x) 2025-09-07T08:07:00.2510243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2510578Z out = self.relu(out) 2025-09-07T08:07:00.2510685Z 2025-09-07T08:07:00.2510793Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2511129Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2511440Z return mod(*inputs) 2025-09-07T08:07:00.2511804Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2512146Z return self._forward_impl(x) 2025-09-07T08:07:00.2512484Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2512839Z x = self.layer1(x) 2025-09-07T08:07:00.2513156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2513493Z out = self.relu(out) 2025-09-07T08:07:00.2513601Z 2025-09-07T08:07:00.2513708Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2514052Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2514365Z return mod(*inputs) 2025-09-07T08:07:00.2514682Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2515023Z return self._forward_impl(x) 2025-09-07T08:07:00.2515358Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2515706Z x = self.layer1(x) 2025-09-07T08:07:00.2516021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2516358Z out = self.relu(out) 2025-09-07T08:07:00.2516465Z 2025-09-07T08:07:00.2516576Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2516922Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2517239Z return mod(*inputs) 2025-09-07T08:07:00.2517556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2517896Z return self._forward_impl(x) 2025-09-07T08:07:00.2518230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2518579Z x = self.layer1(x) 2025-09-07T08:07:00.2518893Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2519231Z out = self.relu(out) 2025-09-07T08:07:00.2519343Z 2025-09-07T08:07:00.2519455Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2519813Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2520127Z return mod(*inputs) 2025-09-07T08:07:00.2520439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2520768Z return self._forward_impl(x) 2025-09-07T08:07:00.2521109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2521453Z x = self.layer1(x) 2025-09-07T08:07:00.2521768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:07:00.2522102Z out = self.relu(out) 2025-09-07T08:07:00.2522206Z 2025-09-07T08:07:00.2522309Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2522714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2523019Z return mod(*inputs) 2025-09-07T08:07:00.2523325Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2523652Z return self._forward_impl(x) 2025-09-07T08:07:00.2523987Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2524326Z x = self.layer1(x) 2025-09-07T08:07:00.2524631Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:07:00.2524984Z out = self.relu(out) 2025-09-07T08:07:00.2525088Z 2025-09-07T08:07:00.2525172Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2525409Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2525753Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2526067Z return mod(*inputs) 2025-09-07T08:07:00.2526365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2526694Z return self._forward_impl(x) 2025-09-07T08:07:00.2527027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2527363Z x = self.layer1(x) 2025-09-07T08:07:00.2527663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2527982Z out = self.relu(out) 2025-09-07T08:07:00.2528092Z 2025-09-07T08:07:00.2528192Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2528529Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2528832Z return mod(*inputs) 2025-09-07T08:07:00.2529128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2529460Z return self._forward_impl(x) 2025-09-07T08:07:00.2529792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2530126Z x = self.layer1(x) 2025-09-07T08:07:00.2530422Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2530736Z out = self.relu(out) 2025-09-07T08:07:00.2530845Z 2025-09-07T08:07:00.2530945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2531283Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2531588Z return mod(*inputs) 2025-09-07T08:07:00.2531880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2532207Z return self._forward_impl(x) 2025-09-07T08:07:00.2532544Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2532881Z x = self.layer1(x) 2025-09-07T08:07:00.2533180Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2533496Z out = self.relu(out) 2025-09-07T08:07:00.2533601Z 2025-09-07T08:07:00.2533702Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2534039Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2534345Z return mod(*inputs) 2025-09-07T08:07:00.2534641Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2534970Z return self._forward_impl(x) 2025-09-07T08:07:00.2535304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2535696Z x = self.layer1(x) 2025-09-07T08:07:00.2535999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2536324Z out = self.relu(out) 2025-09-07T08:07:00.2536433Z 2025-09-07T08:07:00.2536514Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2536747Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2537085Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2537386Z return mod(*inputs) 2025-09-07T08:07:00.2537691Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2538059Z return self._forward_impl(x) 2025-09-07T08:07:00.2538400Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2538741Z x = self.layer1(x) 2025-09-07T08:07:00.2539042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2539367Z out = self.relu(out) 2025-09-07T08:07:00.2539476Z 2025-09-07T08:07:00.2539578Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2539921Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2540228Z return mod(*inputs) 2025-09-07T08:07:00.2540536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2540867Z return self._forward_impl(x) 2025-09-07T08:07:00.2541210Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2541552Z x = self.layer1(x) 2025-09-07T08:07:00.2541847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2542178Z out = self.relu(out) 2025-09-07T08:07:00.2542289Z 2025-09-07T08:07:00.2542387Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2542732Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2543036Z return mod(*inputs) 2025-09-07T08:07:00.2543341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2543678Z return self._forward_impl(x) 2025-09-07T08:07:00.2544015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2544359Z x = self.layer1(x) 2025-09-07T08:07:00.2544657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2544987Z out = self.relu(out) 2025-09-07T08:07:00.2545097Z 2025-09-07T08:07:00.2545197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2545547Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2545847Z return mod(*inputs) 2025-09-07T08:07:00.2546156Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2546486Z return self._forward_impl(x) 2025-09-07T08:07:00.2546821Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl 2025-09-07T08:07:00.2547163Z x = self.layer1(x) 2025-09-07T08:07:00.2547457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2547787Z out = self.relu(out) 2025-09-07T08:07:00.2547897Z 2025-09-07T08:07:00.2547975Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2548214Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2548699Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2549040Z return mod(*inputs) 2025-09-07T08:07:00.2549352Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2549690Z return self._forward_impl(x) 2025-09-07T08:07:00.2550027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2550364Z x = self.layer2(x) 2025-09-07T08:07:00.2550671Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2551034Z out = self.relu(out) 2025-09-07T08:07:00.2551140Z 2025-09-07T08:07:00.2551251Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2551587Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2551893Z return mod(*inputs) 2025-09-07T08:07:00.2552201Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2552531Z return self._forward_impl(x) 2025-09-07T08:07:00.2552866Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2553192Z x = self.layer2(x) 2025-09-07T08:07:00.2553494Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2553820Z out = self.relu(out) 2025-09-07T08:07:00.2553919Z 2025-09-07T08:07:00.2554027Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2554369Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2554676Z return mod(*inputs) 2025-09-07T08:07:00.2554979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2555318Z return self._forward_impl(x) 2025-09-07T08:07:00.2555649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2555977Z x = self.layer2(x) 2025-09-07T08:07:00.2556283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2556612Z out = self.relu(out) 2025-09-07T08:07:00.2556711Z 2025-09-07T08:07:00.2556819Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2557155Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2557461Z return mod(*inputs) 2025-09-07T08:07:00.2557766Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2558095Z return self._forward_impl(x) 2025-09-07T08:07:00.2558433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2558762Z x = self.layer2(x) 2025-09-07T08:07:00.2559065Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2559399Z out = self.relu(out) 2025-09-07T08:07:00.2559499Z 2025-09-07T08:07:00.2559600Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2559948Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2560256Z return mod(*inputs) 2025-09-07T08:07:00.2560557Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2560887Z return self._forward_impl(x) 2025-09-07T08:07:00.2561213Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2561545Z x = self.layer2(x) 2025-09-07T08:07:00.2561896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:07:00.2562220Z out = self.relu(out) 2025-09-07T08:07:00.2562321Z 2025-09-07T08:07:00.2562422Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2562771Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2563075Z return mod(*inputs) 2025-09-07T08:07:00.2563378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2563703Z return self._forward_impl(x) 2025-09-07T08:07:00.2564033Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2564385Z x = self.layer2(x) 2025-09-07T08:07:00.2564695Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:07:00.2565025Z out = self.relu(out) 2025-09-07T08:07:00.2565131Z 2025-09-07T08:07:00.2565210Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2565445Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2565791Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2566102Z return mod(*inputs) 2025-09-07T08:07:00.2566406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2566731Z return self._forward_impl(x) 2025-09-07T08:07:00.2567067Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2567409Z x = self.layer2(x) 2025-09-07T08:07:00.2567715Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2568033Z out = self.relu(out) 2025-09-07T08:07:00.2568142Z 2025-09-07T08:07:00.2568249Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2568593Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2568905Z return mod(*inputs) 2025-09-07T08:07:00.2569214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2569540Z return self._forward_impl(x) 2025-09-07T08:07:00.2569880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2570221Z x = self.layer2(x) 2025-09-07T08:07:00.2570527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2570846Z out = self.relu(out) 2025-09-07T08:07:00.2570956Z 2025-09-07T08:07:00.2571055Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2571413Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2571724Z return mod(*inputs) 2025-09-07T08:07:00.2572030Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2572354Z return self._forward_impl(x) 2025-09-07T08:07:00.2572689Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2573029Z x = self.layer2(x) 2025-09-07T08:07:00.2573333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2573652Z out = self.relu(out) 2025-09-07T08:07:00.2573764Z 2025-09-07T08:07:00.2573864Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2574209Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2574519Z return mod(*inputs) 2025-09-07T08:07:00.2574895Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2575218Z return self._forward_impl(x) 2025-09-07T08:07:00.2575555Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2575889Z x = self.layer2(x) 2025-09-07T08:07:00.2576195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2576521Z out = self.relu(out) 2025-09-07T08:07:00.2576623Z 2025-09-07T08:07:00.2576701Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2576934Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2577302Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2577610Z return mod(*inputs) 2025-09-07T08:07:00.2577909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2578245Z return self._forward_impl(x) 2025-09-07T08:07:00.2578576Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2578911Z x = self.layer2(x) 2025-09-07T08:07:00.2579204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2579529Z out = self.relu(out) 2025-09-07T08:07:00.2579638Z 2025-09-07T08:07:00.2579737Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2580076Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2580382Z return mod(*inputs) 2025-09-07T08:07:00.2580676Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2581007Z return self._forward_impl(x) 2025-09-07T08:07:00.2581344Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2581680Z x = self.layer2(x) 2025-09-07T08:07:00.2581971Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2582297Z out = self.relu(out) 2025-09-07T08:07:00.2582411Z 2025-09-07T08:07:00.2582511Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2582854Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2583163Z return mod(*inputs) 2025-09-07T08:07:00.2583460Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2583790Z return self._forward_impl(x) 2025-09-07T08:07:00.2584127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2584468Z x = self.layer2(x) 2025-09-07T08:07:00.2584765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2585094Z out = self.relu(out) 2025-09-07T08:07:00.2585205Z 2025-09-07T08:07:00.2585307Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2585652Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2585957Z return mod(*inputs) 2025-09-07T08:07:00.2586255Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2586590Z return self._forward_impl(x) 2025-09-07T08:07:00.2586928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2587269Z x = self.layer2(x) 2025-09-07T08:07:00.2587560Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2587942Z out = self.relu(out) 2025-09-07T08:07:00.2588051Z 2025-09-07T08:07:00.2588132Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2588368Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2588714Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2589018Z return mod(*inputs) 2025-09-07T08:07:00.2589321Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2589657Z return self._forward_impl(x) 2025-09-07T08:07:00.2589992Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2590340Z x = self.layer2(x) 2025-09-07T08:07:00.2590651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2590981Z out = self.relu(out) 2025-09-07T08:07:00.2591082Z 2025-09-07T08:07:00.2591194Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2591536Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2591837Z return mod(*inputs) 2025-09-07T08:07:00.2592144Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2592476Z return self._forward_impl(x) 2025-09-07T08:07:00.2592812Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2593143Z x = self.layer2(x) 2025-09-07T08:07:00.2593446Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2593770Z out = self.relu(out) 2025-09-07T08:07:00.2593871Z 2025-09-07T08:07:00.2593980Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2594332Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2594633Z return mod(*inputs) 2025-09-07T08:07:00.2594941Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2595272Z return self._forward_impl(x) 2025-09-07T08:07:00.2595606Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2595940Z x = self.layer2(x) 2025-09-07T08:07:00.2596241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2596568Z out = self.relu(out) 2025-09-07T08:07:00.2596671Z 2025-09-07T08:07:00.2596775Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2597118Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2597422Z return mod(*inputs) 2025-09-07T08:07:00.2597731Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2598066Z return self._forward_impl(x) 2025-09-07T08:07:00.2598403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl 2025-09-07T08:07:00.2598736Z x = self.layer2(x) 2025-09-07T08:07:00.2599041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2599369Z out = self.relu(out) 2025-09-07T08:07:00.2599472Z 2025-09-07T08:07:00.2599559Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2599796Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2600133Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2600446Z return mod(*inputs) 2025-09-07T08:07:00.2601506Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2601861Z return self._forward_impl(x) 2025-09-07T08:07:00.2602195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2602539Z x = self.layer3(x) 2025-09-07T08:07:00.2602843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2603171Z out = self.relu(out) 2025-09-07T08:07:00.2603272Z 2025-09-07T08:07:00.2603380Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2603719Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2604064Z return mod(*inputs) 2025-09-07T08:07:00.2604376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2604700Z return self._forward_impl(x) 2025-09-07T08:07:00.2605028Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2605360Z x = self.layer3(x) 2025-09-07T08:07:00.2605654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2605975Z out = self.relu(out) 2025-09-07T08:07:00.2606075Z 2025-09-07T08:07:00.2606181Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2606510Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2606809Z return mod(*inputs) 2025-09-07T08:07:00.2607108Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2607427Z return self._forward_impl(x) 2025-09-07T08:07:00.2607745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2608081Z x = self.layer3(x) 2025-09-07T08:07:00.2608372Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2608688Z out = self.relu(out) 2025-09-07T08:07:00.2608787Z 2025-09-07T08:07:00.2608890Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2609220Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2609522Z return mod(*inputs) 2025-09-07T08:07:00.2609820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2610146Z return self._forward_impl(x) 2025-09-07T08:07:00.2610467Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2610796Z x = self.layer3(x) 2025-09-07T08:07:00.2611097Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2611418Z out = self.relu(out) 2025-09-07T08:07:00.2611517Z 2025-09-07T08:07:00.2611621Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2611951Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2612254Z return mod(*inputs) 2025-09-07T08:07:00.2612553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2612879Z return self._forward_impl(x) 2025-09-07T08:07:00.2613203Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2613538Z x = self.layer3(x) 2025-09-07T08:07:00.2613833Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:07:00.2614156Z out = self.relu(out) 2025-09-07T08:07:00.2614273Z 2025-09-07T08:07:00.2614407Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2614741Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2615042Z return mod(*inputs) 2025-09-07T08:07:00.2615338Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2615655Z return self._forward_impl(x) 2025-09-07T08:07:00.2615972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2616305Z x = self.layer3(x) 2025-09-07T08:07:00.2616616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:07:00.2616935Z out = self.relu(out) 2025-09-07T08:07:00.2617034Z 2025-09-07T08:07:00.2617122Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2617343Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2617684Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2617983Z return mod(*inputs) 2025-09-07T08:07:00.2618279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2618598Z return self._forward_impl(x) 2025-09-07T08:07:00.2618930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2619261Z x = self.layer3(x) 2025-09-07T08:07:00.2619556Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2619872Z out = self.relu(out) 2025-09-07T08:07:00.2619971Z 2025-09-07T08:07:00.2620067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2620399Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2620703Z return mod(*inputs) 2025-09-07T08:07:00.2621000Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2621312Z return self._forward_impl(x) 2025-09-07T08:07:00.2621638Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2621967Z x = self.layer3(x) 2025-09-07T08:07:00.2622258Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2622573Z out = self.relu(out) 2025-09-07T08:07:00.2622673Z 2025-09-07T08:07:00.2622772Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2623105Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2623403Z return mod(*inputs) 2025-09-07T08:07:00.2623702Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2624015Z return self._forward_impl(x) 2025-09-07T08:07:00.2624345Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2624674Z x = self.layer3(x) 2025-09-07T08:07:00.2624972Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2625286Z out = self.relu(out) 2025-09-07T08:07:00.2625383Z 2025-09-07T08:07:00.2625480Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2625818Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2626120Z return mod(*inputs) 2025-09-07T08:07:00.2626419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2626736Z return self._forward_impl(x) 2025-09-07T08:07:00.2627118Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2627451Z x = self.layer3(x) 2025-09-07T08:07:00.2627745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2628064Z out = self.relu(out) 2025-09-07T08:07:00.2628163Z 2025-09-07T08:07:00.2628238Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2628486Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2628821Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2629162Z return mod(*inputs) 2025-09-07T08:07:00.2629455Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2629782Z return self._forward_impl(x) 2025-09-07T08:07:00.2630113Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2630447Z x = self.layer3(x) 2025-09-07T08:07:00.2630744Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2631055Z out = self.relu(out) 2025-09-07T08:07:00.2631164Z 2025-09-07T08:07:00.2631263Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2631606Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2631907Z return mod(*inputs) 2025-09-07T08:07:00.2632202Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2632526Z return self._forward_impl(x) 2025-09-07T08:07:00.2632858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2633194Z x = self.layer3(x) 2025-09-07T08:07:00.2633497Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2633811Z out = self.relu(out) 2025-09-07T08:07:00.2633919Z 2025-09-07T08:07:00.2634018Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2634355Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2634657Z return mod(*inputs) 2025-09-07T08:07:00.2634947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2635269Z return self._forward_impl(x) 2025-09-07T08:07:00.2635600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2635933Z x = self.layer3(x) 2025-09-07T08:07:00.2636229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2636539Z out = self.relu(out) 2025-09-07T08:07:00.2636646Z 2025-09-07T08:07:00.2636743Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2637078Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2637376Z return mod(*inputs) 2025-09-07T08:07:00.2637664Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2637990Z return self._forward_impl(x) 2025-09-07T08:07:00.2638314Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2638648Z x = self.layer3(x) 2025-09-07T08:07:00.2638942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2639256Z out = self.relu(out) 2025-09-07T08:07:00.2639363Z 2025-09-07T08:07:00.2639441Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2639724Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2640061Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2640354Z return mod(*inputs) 2025-09-07T08:07:00.2640657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2640984Z return self._forward_impl(x) 2025-09-07T08:07:00.2641310Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2641641Z x = self.layer3(x) 2025-09-07T08:07:00.2641930Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2642264Z out = self.relu(out) 2025-09-07T08:07:00.2642362Z 2025-09-07T08:07:00.2642470Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2642808Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2643103Z return mod(*inputs) 2025-09-07T08:07:00.2643403Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2643725Z return self._forward_impl(x) 2025-09-07T08:07:00.2644053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2644384Z x = self.layer3(x) 2025-09-07T08:07:00.2644667Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2644989Z out = self.relu(out) 2025-09-07T08:07:00.2645092Z 2025-09-07T08:07:00.2645197Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2645535Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2645827Z return mod(*inputs) 2025-09-07T08:07:00.2646129Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2646456Z return self._forward_impl(x) 2025-09-07T08:07:00.2646786Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2647114Z x = self.layer3(x) 2025-09-07T08:07:00.2647398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2647714Z out = self.relu(out) 2025-09-07T08:07:00.2647812Z 2025-09-07T08:07:00.2647919Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2648256Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2648589Z return mod(*inputs) 2025-09-07T08:07:00.2648891Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2649216Z return self._forward_impl(x) 2025-09-07T08:07:00.2649550Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2649883Z x = self.layer3(x) 2025-09-07T08:07:00.2650173Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2650496Z out = self.relu(out) 2025-09-07T08:07:00.2650596Z 2025-09-07T08:07:00.2650684Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2650916Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2651243Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2651545Z return mod(*inputs) 2025-09-07T08:07:00.2651840Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2652163Z return self._forward_impl(x) 2025-09-07T08:07:00.2652533Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2652892Z x = self.layer3(x) 2025-09-07T08:07:00.2653186Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2653503Z out = self.relu(out) 2025-09-07T08:07:00.2653604Z 2025-09-07T08:07:00.2653713Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2654045Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2654350Z return mod(*inputs) 2025-09-07T08:07:00.2654652Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2655013Z return self._forward_impl(x) 2025-09-07T08:07:00.2655333Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2655675Z x = self.layer3(x) 2025-09-07T08:07:00.2655973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2656295Z out = self.relu(out) 2025-09-07T08:07:00.2656394Z 2025-09-07T08:07:00.2656499Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2656827Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2657131Z return mod(*inputs) 2025-09-07T08:07:00.2657433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2657758Z return self._forward_impl(x) 2025-09-07T08:07:00.2658081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2658412Z x = self.layer3(x) 2025-09-07T08:07:00.2658706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2659034Z out = self.relu(out) 2025-09-07T08:07:00.2659133Z 2025-09-07T08:07:00.2659239Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2659568Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2659868Z return mod(*inputs) 2025-09-07T08:07:00.2660165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2660487Z return self._forward_impl(x) 2025-09-07T08:07:00.2660810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2661143Z x = self.layer3(x) 2025-09-07T08:07:00.2661439Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2661758Z out = self.relu(out) 2025-09-07T08:07:00.2661860Z 2025-09-07T08:07:00.2661946Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2662169Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2662506Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2662810Z return mod(*inputs) 2025-09-07T08:07:00.2663104Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2663423Z return self._forward_impl(x) 2025-09-07T08:07:00.2663754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2664081Z x = self.layer3(x) 2025-09-07T08:07:00.2664380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2664699Z out = self.relu(out) 2025-09-07T08:07:00.2664799Z 2025-09-07T08:07:00.2664897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2665282Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2665583Z return mod(*inputs) 2025-09-07T08:07:00.2665878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2666196Z return self._forward_impl(x) 2025-09-07T08:07:00.2666526Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2666857Z x = self.layer3(x) 2025-09-07T08:07:00.2667154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2667489Z out = self.relu(out) 2025-09-07T08:07:00.2667589Z 2025-09-07T08:07:00.2667686Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2668023Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2668331Z return mod(*inputs) 2025-09-07T08:07:00.2668633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2668952Z return self._forward_impl(x) 2025-09-07T08:07:00.2669282Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2669611Z x = self.layer3(x) 2025-09-07T08:07:00.2669909Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2670231Z out = self.relu(out) 2025-09-07T08:07:00.2670331Z 2025-09-07T08:07:00.2670430Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2670772Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2671074Z return mod(*inputs) 2025-09-07T08:07:00.2671376Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2671699Z return self._forward_impl(x) 2025-09-07T08:07:00.2672032Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl 2025-09-07T08:07:00.2672367Z x = self.layer3(x) 2025-09-07T08:07:00.2672668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2672988Z out = self.relu(out) 2025-09-07T08:07:00.2673088Z 2025-09-07T08:07:00.2673167Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2673398Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2673750Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2674058Z return mod(*inputs) 2025-09-07T08:07:00.2674349Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2674677Z return self._forward_impl(x) 2025-09-07T08:07:00.2675016Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2675347Z x = self.layer4(x) 2025-09-07T08:07:00.2675646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2675959Z out = self.relu(out) 2025-09-07T08:07:00.2676068Z 2025-09-07T08:07:00.2676167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2676502Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2676804Z return mod(*inputs) 2025-09-07T08:07:00.2677095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2677421Z return self._forward_impl(x) 2025-09-07T08:07:00.2677752Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2678128Z x = self.layer4(x) 2025-09-07T08:07:00.2678419Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2678724Z out = self.relu(out) 2025-09-07T08:07:00.2678835Z 2025-09-07T08:07:00.2678930Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2679259Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2679557Z return mod(*inputs) 2025-09-07T08:07:00.2679844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2680209Z return self._forward_impl(x) 2025-09-07T08:07:00.2680538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2680869Z x = self.layer4(x) 2025-09-07T08:07:00.2681166Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2681484Z out = self.relu(out) 2025-09-07T08:07:00.2681592Z 2025-09-07T08:07:00.2681720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2682059Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2682360Z return mod(*inputs) 2025-09-07T08:07:00.2682656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2682981Z return self._forward_impl(x) 2025-09-07T08:07:00.2683304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2683634Z x = self.layer4(x) 2025-09-07T08:07:00.2683932Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2684259Z out = self.relu(out) 2025-09-07T08:07:00.2684362Z 2025-09-07T08:07:00.2684463Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2684807Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2685113Z return mod(*inputs) 2025-09-07T08:07:00.2685410Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2685730Z return self._forward_impl(x) 2025-09-07T08:07:00.2686055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2686392Z x = self.layer4(x) 2025-09-07T08:07:00.2686687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:07:00.2687009Z out = self.relu(out) 2025-09-07T08:07:00.2687107Z 2025-09-07T08:07:00.2687204Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2687545Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2687848Z return mod(*inputs) 2025-09-07T08:07:00.2688151Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2688475Z return self._forward_impl(x) 2025-09-07T08:07:00.2688795Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2689130Z x = self.layer4(x) 2025-09-07T08:07:00.2689427Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 161, in forward 2025-09-07T08:07:00.2689748Z out = self.relu(out) 2025-09-07T08:07:00.2689848Z 2025-09-07T08:07:00.2689927Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2690155Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2690492Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2690853Z return mod(*inputs) 2025-09-07T08:07:00.2691145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2691465Z return self._forward_impl(x) 2025-09-07T08:07:00.2691788Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2692117Z x = self.layer4(x) 2025-09-07T08:07:00.2692411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2692719Z out = self.relu(out) 2025-09-07T08:07:00.2692848Z 2025-09-07T08:07:00.2692945Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2693280Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2693584Z return mod(*inputs) 2025-09-07T08:07:00.2693876Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2694197Z return self._forward_impl(x) 2025-09-07T08:07:00.2694522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2694854Z x = self.layer4(x) 2025-09-07T08:07:00.2695149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2695459Z out = self.relu(out) 2025-09-07T08:07:00.2695566Z 2025-09-07T08:07:00.2695667Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2696006Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2696313Z return mod(*inputs) 2025-09-07T08:07:00.2696603Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2696924Z return self._forward_impl(x) 2025-09-07T08:07:00.2697254Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2697584Z x = self.layer4(x) 2025-09-07T08:07:00.2697875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2698187Z out = self.relu(out) 2025-09-07T08:07:00.2698296Z 2025-09-07T08:07:00.2698392Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2698725Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2699027Z return mod(*inputs) 2025-09-07T08:07:00.2699318Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2699639Z return self._forward_impl(x) 2025-09-07T08:07:00.2699962Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2700297Z x = self.layer4(x) 2025-09-07T08:07:00.2700588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2700896Z out = self.relu(out) 2025-09-07T08:07:00.2701004Z 2025-09-07T08:07:00.2701079Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2701308Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2701647Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2701939Z return mod(*inputs) 2025-09-07T08:07:00.2702238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2702564Z return self._forward_impl(x) 2025-09-07T08:07:00.2702896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2703225Z x = self.layer4(x) 2025-09-07T08:07:00.2703553Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2703873Z out = self.relu(out) 2025-09-07T08:07:00.2703982Z 2025-09-07T08:07:00.2704079Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2704414Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2704712Z return mod(*inputs) 2025-09-07T08:07:00.2705008Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2705329Z return self._forward_impl(x) 2025-09-07T08:07:00.2705675Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2706006Z x = self.layer4(x) 2025-09-07T08:07:00.2706292Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 148, in forward 2025-09-07T08:07:00.2706611Z out = self.relu(out) 2025-09-07T08:07:00.2706721Z 2025-09-07T08:07:00.2706820Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2707157Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2707448Z return mod(*inputs) 2025-09-07T08:07:00.2707741Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2708062Z return self._forward_impl(x) 2025-09-07T08:07:00.2708391Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2708720Z x = self.layer4(x) 2025-09-07T08:07:00.2709005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2709324Z out = self.relu(out) 2025-09-07T08:07:00.2709431Z 2025-09-07T08:07:00.2709528Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2709869Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2710162Z return mod(*inputs) 2025-09-07T08:07:00.2710461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2710784Z return self._forward_impl(x) 2025-09-07T08:07:00.2711112Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl 2025-09-07T08:07:00.2711445Z x = self.layer4(x) 2025-09-07T08:07:00.2711732Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 152, in forward 2025-09-07T08:07:00.2712053Z out = self.relu(out) 2025-09-07T08:07:00.2712159Z 2025-09-07T08:07:00.2712236Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2712440Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2712657Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:07:00.2713000Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:07:00.2713305Z return mod(*inputs) 2025-09-07T08:07:00.2713602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 285, in forward 2025-09-07T08:07:00.2713927Z return self._forward_impl(x) 2025-09-07T08:07:00.2714250Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl 2025-09-07T08:07:00.2714587Z x = self.avgpool(x) 2025-09-07T08:07:00.2714693Z 2025-09-07T08:07:00.2714768Z cudagraph partition due to non gpu ops 2025-09-07T08:07:00.2714976Z cudagraph partition due to non gpu ops 2025-09-07T08:07:08.0293968Z pass 2025-09-07T08:07:08.0296064Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:09.2663772Z accuracy pass_rate=95.24% 2025-09-07T08:07:09.2664154Z calls_captured gmean=0.00x mean=256.095x 2025-09-07T08:07:09.2666000Z unique_graphs gmean=0.00x mean=1.048x 2025-09-07T08:07:09.2668209Z graph_breaks gmean=0.00x mean=0.190x 2025-09-07T08:07:09.2670536Z unique_graph_breaks gmean=0.00x mean=0.143x 2025-09-07T08:07:09.2672949Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:07:09.2675270Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:07:09.2677572Z cudagraph_skips gmean=0.00x mean=0.857x 2025-09-07T08:07:09.2678320Z compilation_latency mean=18.535 seconds 2025-09-07T08:07:09.6430246Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *cppwrapper-true* ]] 2025-09-07T08:07:09.6431168Z + TORCHINDUCTOR_CPP_WRAPPER=1 2025-09-07T08:07:09.6432045Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --freezing --inference --amp --backend inductor --disable-cudagraphs --device cpu --total-partitions 4 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_accuracy.csv 2025-09-07T08:07:09.9710536Z /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. 2025-09-07T08:07:09.9711888Z import pynvml # type: ignore[import] 2025-09-07T08:07:12.0292589Z /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. 2025-09-07T08:07:12.0294076Z import pynvml # type: ignore[import] 2025-09-07T08:07:13.7342713Z 2025-09-07T08:07:14.3974383Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:14.3974951Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:14.3975369Z cpu eval llama 2025-09-07T08:07:14.7012924Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:14.8219269Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:14.9400337Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:45.8695453Z pass 2025-09-07T08:07:45.8695875Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:47.8213386Z /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. 2025-09-07T08:07:47.8214938Z import pynvml # type: ignore[import] 2025-09-07T08:07:49.5387928Z 2025-09-07T08:07:49.6957922Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:49.6958328Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:49.6958655Z cpu eval maml 2025-09-07T08:07:49.7329590Z pass_due_to_skip 2025-09-07T08:07:49.7329987Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:50.5391137Z /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. 2025-09-07T08:07:50.5392725Z import pynvml # type: ignore[import] 2025-09-07T08:07:52.2484556Z 2025-09-07T08:07:52.3769798Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:52.3770185Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:07:52.3770509Z cpu eval maml_omniglot 2025-09-07T08:07:52.3807065Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:52.3847123Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:07:52.3874624Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:02.5226352Z pass 2025-09-07T08:08:02.5227929Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:04.0109635Z /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. 2025-09-07T08:08:04.0111417Z import pynvml # type: ignore[import] 2025-09-07T08:08:05.7239819Z 2025-09-07T08:08:05.8120230Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:05.8120566Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:05.8120808Z cpu eval microbench_unbacked_tolist_sum 2025-09-07T08:08:05.8177184Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:05.8246653Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:05.8307296Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:08.2439224Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break from `Tensor.item()`, consider setting: 2025-09-07T08:08:08.2439875Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] torch._dynamo.config.capture_scalar_outputs = True 2025-09-07T08:08:08.2440333Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] or: 2025-09-07T08:08:08.2440784Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] env TORCHDYNAMO_CAPTURE_SCALAR_OUTPUTS=1 2025-09-07T08:08:08.2441310Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] to include these operations in the captured graph. 2025-09-07T08:08:08.2441739Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T08:08:08.2442157Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] Graph break: from user code at: 2025-09-07T08:08:08.2442765Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:08:08.2443354Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] return mod(*inputs) 2025-09-07T08:08:08.2443961Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] File "/torchbench/torchbenchmark/models/microbench_unbacked_tolist_sum/__init__.py", line 18, in forward 2025-09-07T08:08:08.2444560Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] sum += tv[i].item() 2025-09-07T08:08:08.2444941Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T08:08:08.2445284Z W0907 08:08:08.242779 48686 site-packages/torch/_dynamo/variables/tensor.py:1048] [0/0] 2025-09-07T08:08:11.1223634Z pass 2025-09-07T08:08:11.1224021Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:12.6896584Z /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. 2025-09-07T08:08:12.6898059Z import pynvml # type: ignore[import] 2025-09-07T08:08:14.4025217Z 2025-09-07T08:08:14.7172032Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:14.7172350Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:14.7172608Z cpu eval mnasnet1_0 2025-09-07T08:08:15.3258089Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:15.3630482Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:15.3988500Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:29.9344710Z pass 2025-09-07T08:08:29.9345328Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:31.8906559Z /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. 2025-09-07T08:08:31.8907994Z import pynvml # type: ignore[import] 2025-09-07T08:08:33.6054548Z 2025-09-07T08:08:33.9105248Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:33.9105565Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:33.9105819Z cpu eval mobilenet_v2 2025-09-07T08:08:34.4645900Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:34.5038693Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:34.5406963Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:49.4593146Z pass 2025-09-07T08:08:49.4593572Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:51.0423666Z /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. 2025-09-07T08:08:51.0425087Z import pynvml # type: ignore[import] 2025-09-07T08:08:52.7513818Z 2025-09-07T08:08:53.8222531Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:53.8222913Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:08:53.8223265Z cpu eval mobilenet_v2_quantized_qat 2025-09-07T08:08:53.8880750Z Traceback (most recent call last): 2025-09-07T08:08:53.8881251Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/graph_module.py", line 400, in __call__ 2025-09-07T08:08:53.8881785Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-09-07T08:08:53.8882296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:08:53.8882764Z return self._call_impl(*args, **kwargs) 2025-09-07T08:08:53.8883196Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:08:53.8883602Z return forward_call(*args, **kwargs) 2025-09-07T08:08:53.8883853Z File ".7", line 7, in forward 2025-09-07T08:08:53.8884439Z quantize_per_tensor = torch.quantize_per_tensor(x, features_0_0_input_scale_0, features_0_0_input_zero_point_0, torch.quint8); x = features_0_0_input_scale_0 = features_0_0_input_zero_point_0 = None 2025-09-07T08:08:53.8885057Z RuntimeError: Quantize only works on Float Tensor, got Double 2025-09-07T08:08:53.8885275Z 2025-09-07T08:08:53.8885475Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T08:08:53.8885873Z features_0_0_input_zero_point_0 = self.features_0_0_input_zero_point_0 2025-09-07T08:08:53.8886877Z quantize_per_tensor = torch.quantize_per_tensor(x, features_0_0_input_scale_0, features_0_0_input_zero_point_0, torch.quint8); x = features_0_0_input_scale_0 = features_0_0_input_zero_point_0 = None 2025-09-07T08:08:53.8887437Z 2025-09-07T08:08:53.8887635Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T08:08:53.8888131Z features_0_0 = getattr(getattr(self.features, "0"), "0")(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T08:08:53.8888423Z 2025-09-07T08:08:53.8888622Z features_0_2 = getattr(getattr(self.features, "0"), "2")(features_0_0); features_0_0 = None 2025-09-07T08:08:53.8888939Z 2025-09-07T08:08:53.8889197Z WARNING:common:fp64 golden ref were not generated for mobilenet_v2_quantized_qat. Setting accuracy check to cosine 2025-09-07T08:08:53.8889716Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:53.9654195Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:54.0423144Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:55.4211900Z W0907 08:08:55.420062 51120 site-packages/torch/_dynamo/utils.py:2869] [2/0] Encountered exception (quantized nyi in meta tensors) during fake tensor propagation. 2025-09-07T08:08:55.4265941Z W0907 08:08:55.426286 51120 site-packages/torch/_dynamo/utils.py:2869] [2/0_1] Encountered exception (quantized nyi in meta tensors) during fake tensor propagation. 2025-09-07T08:08:55.5081275Z pass 2025-09-07T08:08:55.5081683Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:08:57.8914453Z /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. 2025-09-07T08:08:57.8915888Z import pynvml # type: ignore[import] 2025-09-07T08:08:59.5971611Z 2025-09-07T08:08:59.9335728Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:59.9336050Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:08:59.9336294Z cpu eval mobilenet_v3_large 2025-09-07T08:09:00.3918477Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:00.4339971Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:00.4737114Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:16.8073080Z pass 2025-09-07T08:09:16.8073501Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:18.4426713Z /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. 2025-09-07T08:09:18.4428156Z import pynvml # type: ignore[import] 2025-09-07T08:09:20.1522225Z 2025-09-07T08:09:20.7070986Z loading model: 0it [00:00, ?it/s]You are using a model of type moondream1 to instantiate a model of type phi. This is not supported for all configurations of models and can yield errors. 2025-09-07T08:09:20.7071769Z WARNING:transformers.configuration_utils:You are using a model of type moondream1 to instantiate a model of type phi. This is not supported for all configurations of models and can yield errors. 2025-09-07T08:09:32.2448529Z 2025-09-07T08:09:32.2450505Z loading model: 0it [00:12, ?it/s] 2025-09-07T08:09:32.2452110Z cpu eval moondream 2025-09-07T08:09:37.7251509Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:38.6626171Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:09:39.6148594Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:21.1431603Z pass 2025-09-07T08:10:21.1432006Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:23.7395674Z /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. 2025-09-07T08:10:23.7397430Z import pynvml # type: ignore[import] 2025-09-07T08:10:25.4541262Z 2025-09-07T08:10:26.9081357Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:26.9084150Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:10:26.9085810Z cpu eval nvidia_deeprecommender 2025-09-07T08:10:27.0343999Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:27.0884275Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:27.1395434Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:37.8228616Z pass 2025-09-07T08:10:37.8229035Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:39.3328586Z /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. 2025-09-07T08:10:39.3330059Z import pynvml # type: ignore[import] 2025-09-07T08:10:41.0451591Z 2025-09-07T08:10:41.4986131Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:41.4986585Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:10:41.4986914Z cpu eval opacus_cifar10 2025-09-07T08:10:41.5230711Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:41.5477135Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:41.5626607Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:57.4398530Z pass 2025-09-07T08:10:57.4399007Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:10:59.2414053Z /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. 2025-09-07T08:10:59.2415545Z import pynvml # type: ignore[import] 2025-09-07T08:11:00.9460444Z 2025-09-07T08:11:01.0812269Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:01.0812583Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:01.0812814Z cpu eval phlippe_densenet 2025-09-07T08:11:01.1239511Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:01.1537897Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:01.1824816Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:19.6369461Z pass 2025-09-07T08:11:19.6369894Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:21.2497785Z /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. 2025-09-07T08:11:21.2499216Z import pynvml # type: ignore[import] 2025-09-07T08:11:22.9606583Z 2025-09-07T08:11:23.0774736Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:23.0775142Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:23.0775461Z cpu eval phlippe_resnet 2025-09-07T08:11:23.0972979Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:23.1103686Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:23.1225908Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:34.4790135Z pass 2025-09-07T08:11:34.4790547Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:35.9586578Z /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. 2025-09-07T08:11:35.9588000Z import pynvml # type: ignore[import] 2025-09-07T08:11:37.6675454Z 2025-09-07T08:11:37.7527827Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:37.7528123Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:37.7528352Z cpu eval pyhpc_equation_of_state 2025-09-07T08:11:37.7531942Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:37.7551486Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:37.7562572Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:49.4878064Z pass 2025-09-07T08:11:49.4878487Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:50.9602220Z /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. 2025-09-07T08:11:50.9603732Z import pynvml # type: ignore[import] 2025-09-07T08:11:52.6666824Z 2025-09-07T08:11:52.7547854Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:52.7548144Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:11:52.7548400Z cpu eval pyhpc_isoneutral_mixing 2025-09-07T08:11:52.7575275Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:52.7615795Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:11:52.7648206Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:06.8472421Z pass 2025-09-07T08:12:06.8474852Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:08.4095530Z /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. 2025-09-07T08:12:08.4096972Z import pynvml # type: ignore[import] 2025-09-07T08:12:10.1222938Z 2025-09-07T08:12:10.5803575Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:10.5804613Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:10.5805170Z cpu eval pyhpc_turbulent_kinetic_energy 2025-09-07T08:12:10.6623072Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:10.7481960Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:10.8324071Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:41.9746343Z pass 2025-09-07T08:12:41.9746816Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:43.8305964Z /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. 2025-09-07T08:12:43.8307711Z import pynvml # type: ignore[import] 2025-09-07T08:12:45.5421313Z 2025-09-07T08:12:45.8821247Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:45.8821570Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:12:45.8821823Z cpu eval pytorch_CycleGAN_and_pix2pix 2025-09-07T08:12:46.2107483Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:46.2531836Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:12:46.2929065Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:01.5162324Z pass 2025-09-07T08:13:01.5164040Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:03.1476113Z /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. 2025-09-07T08:13:03.1477601Z import pynvml # type: ignore[import] 2025-09-07T08:13:04.8592413Z 2025-09-07T08:13:05.3400145Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:13:05.3400529Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:13:05.3400792Z cpu eval pytorch_stargan 2025-09-07T08:13:06.9730240Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:07.0256149Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:07.0771234Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:22.6290573Z pass 2025-09-07T08:13:22.6290997Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:24.4014075Z /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. 2025-09-07T08:13:24.4015492Z import pynvml # type: ignore[import] 2025-09-07T08:13:26.1148692Z 2025-09-07T08:13:26.7445746Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:13:26.7446055Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:13:26.7446310Z cpu eval pytorch_unet 2025-09-07T08:13:57.2222288Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:57.7653717Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:13:58.3072695Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:18.1197767Z pass 2025-09-07T08:14:18.1198202Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:20.2908405Z /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. 2025-09-07T08:14:20.2909896Z import pynvml # type: ignore[import] 2025-09-07T08:14:22.0039514Z 2025-09-07T08:14:22.9849180Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:22.9849536Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:22.9849782Z cpu eval resnet152 2025-09-07T08:14:23.9662005Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:24.1236896Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:24.2771456Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:49.3537363Z pass 2025-09-07T08:14:49.3537841Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:51.1697768Z /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. 2025-09-07T08:14:51.1699200Z import pynvml # type: ignore[import] 2025-09-07T08:14:52.8756163Z 2025-09-07T08:14:53.2295482Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:53.2295809Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:14:53.2296060Z cpu eval resnet18 2025-09-07T08:14:53.4019770Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:53.4301327Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:14:53.4541305Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:05.5661340Z pass 2025-09-07T08:15:05.5665162Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:07.1198024Z /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. 2025-09-07T08:15:07.1199446Z import pynvml # type: ignore[import] 2025-09-07T08:15:08.8304872Z 2025-09-07T08:15:09.3911907Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:09.3912221Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:09.3912498Z cpu eval resnet50 2025-09-07T08:15:09.7503861Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:09.8113631Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:09.8708911Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:25.0256651Z pass 2025-09-07T08:15:25.0257143Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:26.3389467Z accuracy pass_rate=95.45% 2025-09-07T08:15:26.3389796Z calls_captured gmean=0.00x mean=292.727x 2025-09-07T08:15:26.3394309Z unique_graphs gmean=0.00x mean=1.091x 2025-09-07T08:15:26.3394655Z graph_breaks gmean=0.00x mean=0.182x 2025-09-07T08:15:26.3395704Z unique_graph_breaks gmean=0.00x mean=0.136x 2025-09-07T08:15:26.3397914Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:15:26.3399783Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:15:26.3401934Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:15:26.3402672Z compilation_latency mean=15.782 seconds 2025-09-07T08:15:26.7230826Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing_cudagraphs-true* ]] 2025-09-07T08:15:26.7231800Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freeze_autotune_cudagraphs-true* ]] 2025-09-07T08:15:26.7232596Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *aotinductor-true* ]] 2025-09-07T08:15:26.7233089Z + [[ inference == \i\n\f\e\r\e\n\c\e ]] 2025-09-07T08:15:26.7233293Z + [[ accuracy == \a\c\c\u\r\a\c\y ]] 2025-09-07T08:15:26.7234145Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --freezing --inference --amp --export --disable-cudagraphs --device cpu --total-partitions 4 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_export_torchbench_amp_inference_cpu_x86_accuracy.csv 2025-09-07T08:15:27.0390298Z /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. 2025-09-07T08:15:27.0391696Z import pynvml # type: ignore[import] 2025-09-07T08:15:29.1093271Z /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. 2025-09-07T08:15:29.1094683Z import pynvml # type: ignore[import] 2025-09-07T08:15:30.8194731Z 2025-09-07T08:15:31.4872413Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:31.4873472Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:31.4874119Z cpu eval llama 2025-09-07T08:15:31.7863636Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:31.9035153Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:32.0191004Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:32.2939873Z ERROR:common: 2025-09-07T08:15:32.2940125Z Traceback (most recent call last): 2025-09-07T08:15:32.2940481Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2320, in check_accuracy 2025-09-07T08:15:32.2940816Z optimized_model_iter_fn = optimize_ctx( 2025-09-07T08:15:32.2941130Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1523, in export 2025-09-07T08:15:32.2941425Z ep = torch.export.export( 2025-09-07T08:15:32.2941794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py", line 311, in export 2025-09-07T08:15:32.2942108Z raise e 2025-09-07T08:15:32.2942385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py", line 277, in export 2025-09-07T08:15:32.2942703Z return _export( 2025-09-07T08:15:32.2943001Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T08:15:32.2943299Z raise e 2025-09-07T08:15:32.2943568Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T08:15:32.2943876Z ep = fn(*args, **kwargs) 2025-09-07T08:15:32.2944199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T08:15:32.2944540Z return fn(*args, **kwargs) 2025-09-07T08:15:32.2944836Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2255, in _export 2025-09-07T08:15:32.2945141Z ep = _export_for_training( 2025-09-07T08:15:32.2945429Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T08:15:32.2945744Z raise e 2025-09-07T08:15:32.2946320Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T08:15:32.2946680Z ep = fn(*args, **kwargs) 2025-09-07T08:15:32.2946991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T08:15:32.2947325Z return fn(*args, **kwargs) 2025-09-07T08:15:32.2947654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2071, in _export_for_training 2025-09-07T08:15:32.2948001Z export_artifact = export_func( 2025-09-07T08:15:32.2948329Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1415, in _strict_export 2025-09-07T08:15:32.2948800Z gm_torch_level = _export_to_torch_ir( 2025-09-07T08:15:32.2949149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 812, in _export_to_torch_ir 2025-09-07T08:15:32.2949504Z gm_torch_level, _ = torch._dynamo.export( 2025-09-07T08:15:32.2949849Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 2002, in inner 2025-09-07T08:15:32.2950178Z result_traced = opt_f(*args, **kwargs) 2025-09-07T08:15:32.2950502Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 414, in __call__ 2025-09-07T08:15:32.2950834Z return super().__call__(*args, **kwargs) 2025-09-07T08:15:32.2951197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:15:32.2951557Z return self._call_impl(*args, **kwargs) 2025-09-07T08:15:32.2951885Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:15:32.2952229Z return forward_call(*args, **kwargs) 2025-09-07T08:15:32.2952569Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 832, in compile_wrapper 2025-09-07T08:15:32.2952901Z return fn(*args, **kwargs) 2025-09-07T08:15:32.2953238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:15:32.2953585Z return self._call_impl(*args, **kwargs) 2025-09-07T08:15:32.2953921Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:15:32.2954252Z return forward_call(*args, **kwargs) 2025-09-07T08:15:32.2954582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1875, in __call__ 2025-09-07T08:15:32.2954915Z result = self._torchdynamo_orig_backend( 2025-09-07T08:15:32.2955253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 688, in __call__ 2025-09-07T08:15:32.2955575Z result = _compile( 2025-09-07T08:15:32.2955878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1433, in _compile 2025-09-07T08:15:32.2956272Z guarded_code, tracer_output = compile_inner(code, one_graph, hooks) 2025-09-07T08:15:32.2956649Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_utils_internal.py", line 92, in wrapper_function 2025-09-07T08:15:32.2956984Z return function(*args, **kwargs) 2025-09-07T08:15:32.2957328Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1117, in compile_inner 2025-09-07T08:15:32.2957689Z return _compile_inner(code, one_graph, hooks) 2025-09-07T08:15:32.2958048Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1151, in _compile_inner 2025-09-07T08:15:32.2958385Z dynamo_output = compile_frame( 2025-09-07T08:15:32.2958755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1032, in compile_frame 2025-09-07T08:15:32.2959147Z bytecode, tracer_output = transform_code_object(code, transform) 2025-09-07T08:15:32.2959659Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/bytecode_transformation.py", line 1592, in transform_code_object 2025-09-07T08:15:32.2960097Z tracer_output = transformations(instructions, code_options) 2025-09-07T08:15:32.2960471Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1004, in transform 2025-09-07T08:15:32.2960795Z tracer_output = trace_frame( 2025-09-07T08:15:32.2961110Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 312, in _fn 2025-09-07T08:15:32.2961425Z return fn(*args, **kwargs) 2025-09-07T08:15:32.2961740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 815, in trace_frame 2025-09-07T08:15:32.2962084Z run_tracer() 2025-09-07T08:15:32.2962385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 797, in run_tracer 2025-09-07T08:15:32.2962704Z tracer.run() 2025-09-07T08:15:32.2963006Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:15:32.2963323Z while self.step(): 2025-09-07T08:15:32.2963619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:15:32.2963965Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:15:32.2964315Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:15:32.2964644Z return inner_fn(self, inst) 2025-09-07T08:15:32.2964973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2320, in CALL_FUNCTION 2025-09-07T08:15:32.2965323Z self.call_function(fn, args, {}) 2025-09-07T08:15:32.2965669Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:15:32.2966085Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:15:32.2966504Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/nn_module.py", line 528, in call_function 2025-09-07T08:15:32.2966858Z return tx.inline_user_function_return( 2025-09-07T08:15:32.2967243Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:15:32.2967705Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:15:32.2968130Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:15:32.2968472Z return tracer.inline_call_() 2025-09-07T08:15:32.2968802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:15:32.2969139Z self.run() 2025-09-07T08:15:32.2969433Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:15:32.2969753Z while self.step(): 2025-09-07T08:15:32.2970047Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:15:32.2970393Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:15:32.2970740Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:15:32.2971090Z return inner_fn(self, inst) 2025-09-07T08:15:32.2971434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:15:32.2971810Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:15:32.2972185Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:15:32.2972592Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:15:32.2973064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 1154, in call_function 2025-09-07T08:15:32.2973441Z return super().call_function(tx, args, kwargs) 2025-09-07T08:15:32.2973801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:15:32.2974167Z return super().call_function(tx, args, kwargs) 2025-09-07T08:15:32.2974531Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:15:32.2976737Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:15:32.2977192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:15:32.2977647Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:15:32.2978080Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:15:32.2978428Z return tracer.inline_call_() 2025-09-07T08:15:32.2978769Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:15:32.2979104Z self.run() 2025-09-07T08:15:32.2979385Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:15:32.2979706Z while self.step(): 2025-09-07T08:15:32.2980007Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:15:32.2980354Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:15:32.2980693Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:15:32.2981025Z return inner_fn(self, inst) 2025-09-07T08:15:32.2981366Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2320, in CALL_FUNCTION 2025-09-07T08:15:32.2981710Z self.call_function(fn, args, {}) 2025-09-07T08:15:32.2982055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:15:32.2982457Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:15:32.2982873Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 1154, in call_function 2025-09-07T08:15:32.2983254Z return super().call_function(tx, args, kwargs) 2025-09-07T08:15:32.2983619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:15:32.2983989Z return super().call_function(tx, args, kwargs) 2025-09-07T08:15:32.2984348Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:15:32.2984776Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:15:32.2985228Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:15:32.2985684Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:15:32.2986103Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:15:32.2986442Z return tracer.inline_call_() 2025-09-07T08:15:32.2986791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:15:32.2987127Z self.run() 2025-09-07T08:15:32.2987417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:15:32.2987810Z while self.step(): 2025-09-07T08:15:32.2988119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:15:32.2988475Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:15:32.2988844Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2448, in STORE_ATTR 2025-09-07T08:15:32.2989196Z assert not self.export, ( 2025-09-07T08:15:32.2989439Z AssertionError: Mutating module attribute cache_k during export. 2025-09-07T08:15:32.2989625Z 2025-09-07T08:15:32.2989689Z from user code: 2025-09-07T08:15:32.2989955Z File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward 2025-09-07T08:15:32.2990245Z h = layer(h, start_pos, freqs_cis, mask) 2025-09-07T08:15:32.2990583Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:15:32.2990929Z return forward_call(*args, **kwargs) 2025-09-07T08:15:32.2991212Z File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward 2025-09-07T08:15:32.2991495Z h = x + self.attention.forward( 2025-09-07T08:15:32.2991762Z File "/torchbench/torchbenchmark/models/llama/model.py", line 125, in forward 2025-09-07T08:15:32.2992043Z self.cache_k = self.cache_k.to(xq) 2025-09-07T08:15:32.2992175Z 2025-09-07T08:15:32.2992501Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-09-07T08:15:32.2992877Z 2025-09-07T08:15:32.2993007Z TorchDynamo optimized model failed to run because of following error 2025-09-07T08:15:32.4603358Z fail_to_run 2025-09-07T08:15:32.4603654Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:33.4914523Z /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. 2025-09-07T08:15:33.4915992Z import pynvml # type: ignore[import] 2025-09-07T08:15:35.2010436Z 2025-09-07T08:15:35.3573694Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:35.3574140Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:35.3574508Z cpu eval maml 2025-09-07T08:15:35.3938520Z pass_due_to_skip 2025-09-07T08:15:35.3941216Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:36.2172390Z /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. 2025-09-07T08:15:36.2173804Z import pynvml # type: ignore[import] 2025-09-07T08:15:37.9254818Z 2025-09-07T08:15:38.0476081Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:38.0476470Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:38.0476786Z cpu eval maml_omniglot 2025-09-07T08:15:38.0513170Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:38.0553127Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:38.0580389Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:45.1984976Z pass 2025-09-07T08:15:45.1985429Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:46.0508435Z /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. 2025-09-07T08:15:46.0509940Z import pynvml # type: ignore[import] 2025-09-07T08:15:47.7641730Z 2025-09-07T08:15:47.8484919Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:47.8485227Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:15:47.8485451Z cpu eval microbench_unbacked_tolist_sum 2025-09-07T08:15:47.8539300Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:47.8609855Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:15:47.8670158Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:18.0566869Z pass 2025-09-07T08:17:18.0567284Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:20.0316309Z /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. 2025-09-07T08:17:20.0317749Z import pynvml # type: ignore[import] 2025-09-07T08:17:21.7642523Z 2025-09-07T08:17:22.0725426Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:22.0725733Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:22.0725965Z cpu eval mnasnet1_0 2025-09-07T08:17:22.6936124Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:22.7314014Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:22.7668334Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:31.0603188Z pass 2025-09-07T08:17:31.0603637Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:31.9825617Z /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. 2025-09-07T08:17:31.9826976Z import pynvml # type: ignore[import] 2025-09-07T08:17:33.7012213Z 2025-09-07T08:17:34.0038444Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:34.0038780Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:34.0039024Z cpu eval mobilenet_v2 2025-09-07T08:17:34.5450398Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:34.5841941Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:34.6209160Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:42.3294872Z pass 2025-09-07T08:17:42.3295290Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:43.2206854Z /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. 2025-09-07T08:17:43.2208404Z import pynvml # type: ignore[import] 2025-09-07T08:17:44.9277990Z 2025-09-07T08:17:45.9948140Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:45.9948616Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:17:45.9948956Z cpu eval mobilenet_v2_quantized_qat 2025-09-07T08:17:46.0612521Z Traceback (most recent call last): 2025-09-07T08:17:46.0613044Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/graph_module.py", line 400, in __call__ 2025-09-07T08:17:46.0615509Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-09-07T08:17:46.0616036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:17:46.0616477Z return self._call_impl(*args, **kwargs) 2025-09-07T08:17:46.0616901Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:17:46.0617326Z return forward_call(*args, **kwargs) 2025-09-07T08:17:46.0617579Z File ".7", line 7, in forward 2025-09-07T08:17:46.0618174Z quantize_per_tensor = torch.quantize_per_tensor(x, features_0_0_input_scale_0, features_0_0_input_zero_point_0, torch.quint8); x = features_0_0_input_scale_0 = features_0_0_input_zero_point_0 = None 2025-09-07T08:17:46.0618859Z RuntimeError: Quantize only works on Float Tensor, got Double 2025-09-07T08:17:46.0619074Z 2025-09-07T08:17:46.0619275Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T08:17:46.0619685Z features_0_0_input_zero_point_0 = self.features_0_0_input_zero_point_0 2025-09-07T08:17:46.0620319Z quantize_per_tensor = torch.quantize_per_tensor(x, features_0_0_input_scale_0, features_0_0_input_zero_point_0, torch.quint8); x = features_0_0_input_scale_0 = features_0_0_input_zero_point_0 = None 2025-09-07T08:17:46.0620801Z 2025-09-07T08:17:46.0621006Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T08:17:46.0621475Z features_0_0 = getattr(getattr(self.features, "0"), "0")(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T08:17:46.0621779Z 2025-09-07T08:17:46.0621971Z features_0_2 = getattr(getattr(self.features, "0"), "2")(features_0_0); features_0_0 = None 2025-09-07T08:17:46.0622268Z 2025-09-07T08:17:46.0622526Z WARNING:common:fp64 golden ref were not generated for mobilenet_v2_quantized_qat. Setting accuracy check to cosine 2025-09-07T08:17:46.0623050Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:46.1392973Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:46.2170727Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:46.3337849Z ERROR:common: 2025-09-07T08:17:46.3338140Z Traceback (most recent call last): 2025-09-07T08:17:46.3338624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_subclasses/fake_tensor.py", line 2751, in _dispatch_impl 2025-09-07T08:17:46.3339083Z r = func(*args, **kwargs) 2025-09-07T08:17:46.3339431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 841, in __call__ 2025-09-07T08:17:46.3339791Z return self._op(*args, **kwargs) 2025-09-07T08:17:46.3341068Z NotImplementedError: aten::quantize_per_tensor.tensor_qparams: attempted to run this operator with Meta tensors, but there was no fake impl or Meta kernel registered. You may have run into this message while using an operator with PT2 compilation APIs (torch.compile/torch.export); in order to use this operator with those APIs you'll need to add a fake impl. Please see the following for next steps: https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html 2025-09-07T08:17:46.3342300Z 2025-09-07T08:17:46.3342467Z During handling of the above exception, another exception occurred: 2025-09-07T08:17:46.3342682Z 2025-09-07T08:17:46.3342920Z torch._subclasses.fake_tensor.UnsupportedFakeTensorException: quantized nyi in meta tensors 2025-09-07T08:17:46.3343222Z 2025-09-07T08:17:46.3343369Z The above exception was the direct cause of the following exception: 2025-09-07T08:17:46.3343585Z 2025-09-07T08:17:46.3343675Z Traceback (most recent call last): 2025-09-07T08:17:46.3344351Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2320, in check_accuracy 2025-09-07T08:17:46.3344754Z optimized_model_iter_fn = optimize_ctx( 2025-09-07T08:17:46.3345096Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1523, in export 2025-09-07T08:17:46.3345453Z ep = torch.export.export( 2025-09-07T08:17:46.3345824Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py", line 311, in export 2025-09-07T08:17:46.3346200Z raise e 2025-09-07T08:17:46.3346528Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py", line 277, in export 2025-09-07T08:17:46.3346913Z return _export( 2025-09-07T08:17:46.3347253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T08:17:46.3347613Z raise e 2025-09-07T08:17:46.3347927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T08:17:46.3348296Z ep = fn(*args, **kwargs) 2025-09-07T08:17:46.3348781Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T08:17:46.3349184Z return fn(*args, **kwargs) 2025-09-07T08:17:46.3349537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2255, in _export 2025-09-07T08:17:46.3349905Z ep = _export_for_training( 2025-09-07T08:17:46.3350260Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T08:17:46.3350614Z raise e 2025-09-07T08:17:46.3350933Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T08:17:46.3351300Z ep = fn(*args, **kwargs) 2025-09-07T08:17:46.3351668Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T08:17:46.3352063Z return fn(*args, **kwargs) 2025-09-07T08:17:46.3352456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2071, in _export_for_training 2025-09-07T08:17:46.3352864Z export_artifact = export_func( 2025-09-07T08:17:46.3353240Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1415, in _strict_export 2025-09-07T08:17:46.3353635Z gm_torch_level = _export_to_torch_ir( 2025-09-07T08:17:46.3354038Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 812, in _export_to_torch_ir 2025-09-07T08:17:46.3354451Z gm_torch_level, _ = torch._dynamo.export( 2025-09-07T08:17:46.3354845Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 2002, in inner 2025-09-07T08:17:46.3355215Z result_traced = opt_f(*args, **kwargs) 2025-09-07T08:17:46.3355602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 414, in __call__ 2025-09-07T08:17:46.3355996Z return super().__call__(*args, **kwargs) 2025-09-07T08:17:46.3356417Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:17:46.3356835Z return self._call_impl(*args, **kwargs) 2025-09-07T08:17:46.3357218Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:17:46.3357612Z return forward_call(*args, **kwargs) 2025-09-07T08:17:46.3358010Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 841, in compile_wrapper 2025-09-07T08:17:46.3358482Z raise e.with_traceback(None) from e.__cause__ # User compiler error 2025-09-07T08:17:46.3358941Z torch._dynamo.exc.Unsupported: NotImplementedError/UnsupportedFakeTensorException when running FX node 2025-09-07T08:17:46.3360060Z Explanation: Dynamo failed to run FX node with fake tensors: call_function (*(FakeTensor(..., size=(4, 3, 224, 224)), FakeTensor(..., size=()), FakeTensor(..., size=(), dtype=torch.int64), torch.quint8), **{}): got UnsupportedFakeTensorException(reason='quantized nyi in meta tensors') 2025-09-07T08:17:46.3360882Z 2025-09-07T08:17:46.3360885Z 2025-09-07T08:17:46.3360967Z Developer debug context: 2025-09-07T08:17:46.3361107Z 2025-09-07T08:17:46.3361401Z For more details about this graph break, please visit: https://meta-pytorch.github.io/compile-graph-break-site/gb/gb0087.html 2025-09-07T08:17:46.3361755Z 2025-09-07T08:17:46.3361829Z from user code: 2025-09-07T08:17:46.3362037Z File ".10", line 7, in forward 2025-09-07T08:17:46.3362639Z quantize_per_tensor = torch.quantize_per_tensor(x, features_0_0_input_scale_0, features_0_0_input_zero_point_0, torch.quint8); x = features_0_0_input_scale_0 = features_0_0_input_zero_point_0 = None 2025-09-07T08:17:46.3363114Z 2025-09-07T08:17:46.3363493Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-09-07T08:17:46.3363935Z 2025-09-07T08:17:46.3364093Z TorchDynamo optimized model failed to run because of following error 2025-09-07T08:17:46.3714382Z fail_to_run 2025-09-07T08:17:46.3714946Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:47.3003595Z /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. 2025-09-07T08:17:47.3005055Z import pynvml # type: ignore[import] 2025-09-07T08:17:49.0250863Z 2025-09-07T08:17:49.3589759Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:49.3590062Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:17:49.3590354Z cpu eval mobilenet_v3_large 2025-09-07T08:17:49.8206034Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:49.8629812Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:49.9034816Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:57.7996853Z pass 2025-09-07T08:17:57.7997314Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:17:58.7319285Z /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. 2025-09-07T08:17:58.7320734Z import pynvml # type: ignore[import] 2025-09-07T08:18:00.4386892Z 2025-09-07T08:18:01.0561722Z loading model: 0it [00:00, ?it/s]You are using a model of type moondream1 to instantiate a model of type phi. This is not supported for all configurations of models and can yield errors. 2025-09-07T08:18:01.0562512Z WARNING:transformers.configuration_utils:You are using a model of type moondream1 to instantiate a model of type phi. This is not supported for all configurations of models and can yield errors. 2025-09-07T08:18:12.5590540Z 2025-09-07T08:18:12.5591028Z loading model: 0it [00:12, ?it/s] 2025-09-07T08:18:12.5591378Z cpu eval moondream 2025-09-07T08:18:18.0595857Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:18.9969633Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:19.9511201Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:20.7493602Z E0907 08:18:20.748016 72516 site-packages/torch/export/_trace.py:1142] always_classified is unsupported. 2025-09-07T08:18:20.7494180Z E0907 08:18:20.748234 72516 site-packages/torch/export/_trace.py:1142] always_classified is unsupported. 2025-09-07T08:18:20.7497432Z ERROR:common: 2025-09-07T08:18:20.7497613Z Traceback (most recent call last): 2025-09-07T08:18:20.7497944Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2320, in check_accuracy 2025-09-07T08:18:20.7498278Z optimized_model_iter_fn = optimize_ctx( 2025-09-07T08:18:20.7498591Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1523, in export 2025-09-07T08:18:20.7498893Z ep = torch.export.export( 2025-09-07T08:18:20.7499302Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py", line 311, in export 2025-09-07T08:18:20.7499606Z raise e 2025-09-07T08:18:20.7499880Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py", line 277, in export 2025-09-07T08:18:20.7500204Z return _export( 2025-09-07T08:18:20.7500508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T08:18:20.7500807Z raise e 2025-09-07T08:18:20.7501075Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T08:18:20.7501382Z ep = fn(*args, **kwargs) 2025-09-07T08:18:20.7501710Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T08:18:20.7502039Z return fn(*args, **kwargs) 2025-09-07T08:18:20.7502342Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2255, in _export 2025-09-07T08:18:20.7502655Z ep = _export_for_training( 2025-09-07T08:18:20.7502976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T08:18:20.7503286Z raise e 2025-09-07T08:18:20.7503554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T08:18:20.7503869Z ep = fn(*args, **kwargs) 2025-09-07T08:18:20.7504293Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T08:18:20.7504630Z return fn(*args, **kwargs) 2025-09-07T08:18:20.7504957Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2071, in _export_for_training 2025-09-07T08:18:20.7505296Z export_artifact = export_func( 2025-09-07T08:18:20.7505620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1415, in _strict_export 2025-09-07T08:18:20.7505955Z gm_torch_level = _export_to_torch_ir( 2025-09-07T08:18:20.7506291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 812, in _export_to_torch_ir 2025-09-07T08:18:20.7506636Z gm_torch_level, _ = torch._dynamo.export( 2025-09-07T08:18:20.7506974Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 2002, in inner 2025-09-07T08:18:20.7507292Z result_traced = opt_f(*args, **kwargs) 2025-09-07T08:18:20.7507617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 414, in __call__ 2025-09-07T08:18:20.7507945Z return super().__call__(*args, **kwargs) 2025-09-07T08:18:20.7508296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:18:20.7508647Z return self._call_impl(*args, **kwargs) 2025-09-07T08:18:20.7508979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:18:20.7509314Z return forward_call(*args, **kwargs) 2025-09-07T08:18:20.7509646Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 832, in compile_wrapper 2025-09-07T08:18:20.7510039Z return fn(*args, **kwargs) 2025-09-07T08:18:20.7510428Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:18:20.7510787Z return self._call_impl(*args, **kwargs) 2025-09-07T08:18:20.7511128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:18:20.7511457Z return forward_call(*args, **kwargs) 2025-09-07T08:18:20.7511801Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1875, in __call__ 2025-09-07T08:18:20.7512153Z result = self._torchdynamo_orig_backend( 2025-09-07T08:18:20.7512517Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 688, in __call__ 2025-09-07T08:18:20.7512841Z result = _compile( 2025-09-07T08:18:20.7513142Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1433, in _compile 2025-09-07T08:18:20.7513533Z guarded_code, tracer_output = compile_inner(code, one_graph, hooks) 2025-09-07T08:18:20.7513919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_utils_internal.py", line 92, in wrapper_function 2025-09-07T08:18:20.7514248Z return function(*args, **kwargs) 2025-09-07T08:18:20.7514582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1117, in compile_inner 2025-09-07T08:18:20.7514944Z return _compile_inner(code, one_graph, hooks) 2025-09-07T08:18:20.7515304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1151, in _compile_inner 2025-09-07T08:18:20.7515651Z dynamo_output = compile_frame( 2025-09-07T08:18:20.7515988Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1032, in compile_frame 2025-09-07T08:18:20.7516371Z bytecode, tracer_output = transform_code_object(code, transform) 2025-09-07T08:18:20.7516810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/bytecode_transformation.py", line 1592, in transform_code_object 2025-09-07T08:18:20.7517245Z tracer_output = transformations(instructions, code_options) 2025-09-07T08:18:20.7517620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 1004, in transform 2025-09-07T08:18:20.7517950Z tracer_output = trace_frame( 2025-09-07T08:18:20.7518253Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 312, in _fn 2025-09-07T08:18:20.7518568Z return fn(*args, **kwargs) 2025-09-07T08:18:20.7518887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 815, in trace_frame 2025-09-07T08:18:20.7519214Z run_tracer() 2025-09-07T08:18:20.7519503Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/convert_frame.py", line 797, in run_tracer 2025-09-07T08:18:20.7519847Z tracer.run() 2025-09-07T08:18:20.7520145Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7520466Z while self.step(): 2025-09-07T08:18:20.7520768Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7521115Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7521456Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7521787Z return inner_fn(self, inst) 2025-09-07T08:18:20.7522128Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7522508Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7522872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7523337Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7523756Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7524128Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7524510Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7524936Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7525398Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7525877Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7526304Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7526655Z return tracer.inline_call_() 2025-09-07T08:18:20.7526991Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7527326Z self.run() 2025-09-07T08:18:20.7527617Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7527937Z while self.step(): 2025-09-07T08:18:20.7528230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7528584Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7528936Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7529268Z return inner_fn(self, inst) 2025-09-07T08:18:20.7529609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7529986Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7530365Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7530775Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7531190Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T08:18:20.7531576Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T08:18:20.7531952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/nn_module.py", line 528, in call_function 2025-09-07T08:18:20.7532314Z return tx.inline_user_function_return( 2025-09-07T08:18:20.7532698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7533157Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7533584Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7533920Z return tracer.inline_call_() 2025-09-07T08:18:20.7534259Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7534596Z self.run() 2025-09-07T08:18:20.7534887Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7535202Z while self.step(): 2025-09-07T08:18:20.7535508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7535861Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7536214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7536671Z return inner_fn(self, inst) 2025-09-07T08:18:20.7537015Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7537399Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7537779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7538196Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7538619Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 1154, in call_function 2025-09-07T08:18:20.7539001Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7539371Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7539742Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7540109Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7540529Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7540982Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7541432Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7541850Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7542197Z return tracer.inline_call_() 2025-09-07T08:18:20.7542527Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7542860Z self.run() 2025-09-07T08:18:20.7543149Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7543472Z while self.step(): 2025-09-07T08:18:20.7543771Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7544106Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7544457Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7544789Z return inner_fn(self, inst) 2025-09-07T08:18:20.7545124Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7545494Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7545858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7546259Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7546677Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T08:18:20.7547063Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T08:18:20.7547431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7547799Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7548162Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7548685Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7549140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7549596Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7550102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7550452Z return tracer.inline_call_() 2025-09-07T08:18:20.7550792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7551127Z self.run() 2025-09-07T08:18:20.7551406Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7551728Z while self.step(): 2025-09-07T08:18:20.7552031Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7552401Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7552745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7553080Z return inner_fn(self, inst) 2025-09-07T08:18:20.7553431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2383, in CALL_FUNCTION_KW 2025-09-07T08:18:20.7553798Z self.call_function(fn, args, kwargs) 2025-09-07T08:18:20.7554154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7554560Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7554979Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T08:18:20.7555371Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T08:18:20.7555761Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7556129Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7556507Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7556943Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7557397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7557853Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7558275Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7558614Z return tracer.inline_call_() 2025-09-07T08:18:20.7558961Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7559299Z self.run() 2025-09-07T08:18:20.7559590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7559908Z while self.step(): 2025-09-07T08:18:20.7560214Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7560564Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7560917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7561250Z return inner_fn(self, inst) 2025-09-07T08:18:20.7561590Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2383, in CALL_FUNCTION_KW 2025-09-07T08:18:20.7561950Z self.call_function(fn, args, kwargs) 2025-09-07T08:18:20.7562303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7562715Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7563158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7563531Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7563896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7564313Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7564755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7565197Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7565630Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7565971Z return tracer.inline_call_() 2025-09-07T08:18:20.7566311Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7566649Z self.run() 2025-09-07T08:18:20.7566928Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7567248Z while self.step(): 2025-09-07T08:18:20.7567549Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7567891Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7568234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7568561Z return inner_fn(self, inst) 2025-09-07T08:18:20.7568899Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2320, in CALL_FUNCTION 2025-09-07T08:18:20.7569249Z self.call_function(fn, args, {}) 2025-09-07T08:18:20.7569602Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7570005Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7570420Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7570853Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7571303Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7571756Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7572168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7572512Z return tracer.inline_call_() 2025-09-07T08:18:20.7572848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7573185Z self.run() 2025-09-07T08:18:20.7573476Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7573791Z while self.step(): 2025-09-07T08:18:20.7574094Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7574440Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7574792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7575114Z return inner_fn(self, inst) 2025-09-07T08:18:20.7575461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7575840Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7576241Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7576665Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7577070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T08:18:20.7577454Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T08:18:20.7577856Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/higher_order_ops.py", line 2112, in call_function 2025-09-07T08:18:20.7578243Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7578628Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7578994Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7579362Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7579787Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7580237Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7580693Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7581102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7581445Z return tracer.inline_call_() 2025-09-07T08:18:20.7581782Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7582120Z self.run() 2025-09-07T08:18:20.7582399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7582721Z while self.step(): 2025-09-07T08:18:20.7583029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7583377Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7583719Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7584041Z return inner_fn(self, inst) 2025-09-07T08:18:20.7584386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7584760Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7585135Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7585540Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7585950Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T08:18:20.7586337Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T08:18:20.7586720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7587093Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7587475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7587890Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7588341Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7588797Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7589890Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7590268Z return tracer.inline_call_() 2025-09-07T08:18:20.7590604Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7590938Z self.run() 2025-09-07T08:18:20.7591230Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7591556Z while self.step(): 2025-09-07T08:18:20.7591847Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7592197Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7592567Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7592898Z return inner_fn(self, inst) 2025-09-07T08:18:20.7593248Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7593627Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7593999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7594414Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7594829Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7595245Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7595697Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7596150Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7596572Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7596915Z return tracer.inline_call_() 2025-09-07T08:18:20.7597244Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7597577Z self.run() 2025-09-07T08:18:20.7597872Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7598196Z while self.step(): 2025-09-07T08:18:20.7598499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7598846Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7599194Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7599529Z return inner_fn(self, inst) 2025-09-07T08:18:20.7599875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7600248Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7600624Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7601036Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7601448Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T08:18:20.7601839Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T08:18:20.7602235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/higher_order_ops.py", line 2112, in call_function 2025-09-07T08:18:20.7602627Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7602999Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7603424Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7603792Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7604209Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7604656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7605113Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7605536Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7605919Z return tracer.inline_call_() 2025-09-07T08:18:20.7606247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7606580Z self.run() 2025-09-07T08:18:20.7606868Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7607191Z while self.step(): 2025-09-07T08:18:20.7607483Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7607831Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7608181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7608514Z return inner_fn(self, inst) 2025-09-07T08:18:20.7608854Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7609229Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7609599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7610017Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7610434Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T08:18:20.7610818Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T08:18:20.7611187Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7611555Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7611915Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7612338Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7612780Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7613231Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7613656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7614002Z return tracer.inline_call_() 2025-09-07T08:18:20.7614336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7614669Z self.run() 2025-09-07T08:18:20.7614954Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7615277Z while self.step(): 2025-09-07T08:18:20.7615580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7615921Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7616290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7616650Z return inner_fn(self, inst) 2025-09-07T08:18:20.7616998Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7617380Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7617758Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7618169Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7618592Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7619032Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7619475Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7619932Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7620340Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7620683Z return tracer.inline_call_() 2025-09-07T08:18:20.7621021Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7621354Z self.run() 2025-09-07T08:18:20.7621633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7621963Z while self.step(): 2025-09-07T08:18:20.7622264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7622611Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7622959Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7623282Z return inner_fn(self, inst) 2025-09-07T08:18:20.7623620Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7623996Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7624364Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7624773Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7625181Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T08:18:20.7625569Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T08:18:20.7625968Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/higher_order_ops.py", line 2112, in call_function 2025-09-07T08:18:20.7626356Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7626720Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7627088Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7627453Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7627877Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7628331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7628986Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7629501Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7630059Z return tracer.inline_call_() 2025-09-07T08:18:20.7630490Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7630895Z self.run() 2025-09-07T08:18:20.7631226Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7631603Z while self.step(): 2025-09-07T08:18:20.7631953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7632369Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7632797Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7633195Z return inner_fn(self, inst) 2025-09-07T08:18:20.7633609Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7634088Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7634535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7635033Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7635537Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T08:18:20.7636002Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T08:18:20.7636463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7636906Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7637350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7637867Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7638404Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7638954Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7639462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7639884Z return tracer.inline_call_() 2025-09-07T08:18:20.7640290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7640691Z self.run() 2025-09-07T08:18:20.7641036Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7641413Z while self.step(): 2025-09-07T08:18:20.7641778Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7642195Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7642616Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7643010Z return inner_fn(self, inst) 2025-09-07T08:18:20.7643415Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7643881Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7644323Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7644815Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7645309Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7645879Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7646414Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7646958Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7647470Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7647883Z return tracer.inline_call_() 2025-09-07T08:18:20.7648276Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7648777Z self.run() 2025-09-07T08:18:20.7649120Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7649512Z while self.step(): 2025-09-07T08:18:20.7649860Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7650270Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7650681Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7651075Z return inner_fn(self, inst) 2025-09-07T08:18:20.7651478Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7651914Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7652351Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7652833Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7653317Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T08:18:20.7653771Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T08:18:20.7654234Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/higher_order_ops.py", line 2112, in call_function 2025-09-07T08:18:20.7654699Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7655132Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7655564Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7655983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7656481Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7657005Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7657548Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7658045Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7658443Z return tracer.inline_call_() 2025-09-07T08:18:20.7658842Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7659237Z self.run() 2025-09-07T08:18:20.7659582Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7659961Z while self.step(): 2025-09-07T08:18:20.7660312Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7660716Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7661127Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7661636Z return inner_fn(self, inst) 2025-09-07T08:18:20.7662037Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7662482Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7662919Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7663398Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7663881Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/lazy.py", line 212, in realize_and_forward 2025-09-07T08:18:20.7664356Z return getattr(self.realize(), name)(*args, **kwargs) 2025-09-07T08:18:20.7664802Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7665245Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7665686Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7666188Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7666709Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7667243Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7667739Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7668144Z return tracer.inline_call_() 2025-09-07T08:18:20.7668535Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7668917Z self.run() 2025-09-07T08:18:20.7669257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7669631Z while self.step(): 2025-09-07T08:18:20.7669983Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7670389Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7670794Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7671178Z return inner_fn(self, inst) 2025-09-07T08:18:20.7671577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7672017Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7672444Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7672925Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7673409Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7673903Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7674425Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7674952Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7675442Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7675845Z return tracer.inline_call_() 2025-09-07T08:18:20.7676238Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7676626Z self.run() 2025-09-07T08:18:20.7677025Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7677403Z while self.step(): 2025-09-07T08:18:20.7677755Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7678157Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7678554Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7678944Z return inner_fn(self, inst) 2025-09-07T08:18:20.7679336Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2320, in CALL_FUNCTION 2025-09-07T08:18:20.7679793Z self.call_function(fn, args, {}) 2025-09-07T08:18:20.7680204Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7680680Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7681174Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7681671Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7682195Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7682762Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7683252Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7683668Z return tracer.inline_call_() 2025-09-07T08:18:20.7684063Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7684463Z self.run() 2025-09-07T08:18:20.7684807Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7685184Z while self.step(): 2025-09-07T08:18:20.7685534Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7685938Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7686346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7686724Z return inner_fn(self, inst) 2025-09-07T08:18:20.7687095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 462, in impl 2025-09-07T08:18:20.7687538Z self.push(fn_var.call_function(self, self.popn(nargs), {})) 2025-09-07T08:18:20.7687997Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/builtin.py", line 1347, in call_function 2025-09-07T08:18:20.7688416Z return handler(tx, args, kwargs) 2025-09-07T08:18:20.7688855Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/builtin.py", line 1211, in _handle_insert_op_in_graph 2025-09-07T08:18:20.7689347Z return dispatch_torch_function(tx, fn_var, args, kwargs) 2025-09-07T08:18:20.7689843Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/torch_function.py", line 487, in dispatch_torch_function 2025-09-07T08:18:20.7690354Z res = tx.symbolic_torch_function_state.call_torch_function_mode( 2025-09-07T08:18:20.7690861Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/torch_function.py", line 216, in call_torch_function_mode 2025-09-07T08:18:20.7691365Z return cur_mode.call_torch_function(tx, fn, types, args, kwargs) 2025-09-07T08:18:20.7691858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/torch_function.py", line 334, in call_torch_function 2025-09-07T08:18:20.7692298Z return call_torch_function( 2025-09-07T08:18:20.7694157Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/torch_function.py", line 451, in call_torch_function 2025-09-07T08:18:20.7694682Z return torch_function_var.call_function(tx, tf_args, {}) 2025-09-07T08:18:20.7695141Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 1154, in call_function 2025-09-07T08:18:20.7695581Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7696011Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 598, in call_function 2025-09-07T08:18:20.7696441Z return super().call_function(tx, args, kwargs) 2025-09-07T08:18:20.7696897Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/functions.py", line 342, in call_function 2025-09-07T08:18:20.7697409Z return tx.inline_user_function_return(self, [*self.self_args(), *args], kwargs) 2025-09-07T08:18:20.7697948Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1288, in inline_user_function_return 2025-09-07T08:18:20.7698483Z return InliningInstructionTranslator.inline_call(self, fn, args, kwargs) 2025-09-07T08:18:20.7698976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4112, in inline_call 2025-09-07T08:18:20.7699380Z return tracer.inline_call_() 2025-09-07T08:18:20.7699779Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 4315, in inline_call_ 2025-09-07T08:18:20.7700169Z self.run() 2025-09-07T08:18:20.7700511Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1487, in run 2025-09-07T08:18:20.7700885Z while self.step(): 2025-09-07T08:18:20.7701235Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1348, in step 2025-09-07T08:18:20.7701646Z self.dispatch_table[inst.opcode](self, inst) 2025-09-07T08:18:20.7702057Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 904, in wrapper 2025-09-07T08:18:20.7702448Z return inner_fn(self, inst) 2025-09-07T08:18:20.7702839Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 2371, in CALL_FUNCTION_EX 2025-09-07T08:18:20.7703288Z self.call_function(fn, argsvars.items, kwargsvars) 2025-09-07T08:18:20.7703725Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/symbolic_convert.py", line 1266, in call_function 2025-09-07T08:18:20.7704207Z self.push(fn.call_function(self, args, kwargs)) # type: ignore[arg-type] 2025-09-07T08:18:20.7704694Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/builtin.py", line 1347, in call_function 2025-09-07T08:18:20.7705098Z return handler(tx, args, kwargs) 2025-09-07T08:18:20.7705546Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/builtin.py", line 1307, in _handle_insert_op_in_graph 2025-09-07T08:18:20.7705996Z return wrap_fx_proxy(tx, proxy) 2025-09-07T08:18:20.7706407Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/builder.py", line 2644, in wrap_fx_proxy 2025-09-07T08:18:20.7706877Z return wrap_fx_proxy_cls(target_cls=TensorVariable, **kwargs) 2025-09-07T08:18:20.7707346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/builder.py", line 2710, in wrap_fx_proxy_cls 2025-09-07T08:18:20.7707776Z return _wrap_fx_proxy( 2025-09-07T08:18:20.7708175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/variables/builder.py", line 2808, in _wrap_fx_proxy 2025-09-07T08:18:20.7708668Z example_value = get_fake_value(proxy.node, tx, allow_non_graph_fake=True) 2025-09-07T08:18:20.7709125Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/utils.py", line 3478, in get_fake_value 2025-09-07T08:18:20.7709640Z raise TorchRuntimeError(str(e)).with_traceback(e.__traceback__) from None 2025-09-07T08:18:20.7710102Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/utils.py", line 3376, in get_fake_value 2025-09-07T08:18:20.7710488Z ret_val = wrap_fake_exception( 2025-09-07T08:18:20.7710878Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/utils.py", line 2864, in wrap_fake_exception 2025-09-07T08:18:20.7711252Z return fn() 2025-09-07T08:18:20.7711577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/utils.py", line 3377, in 2025-09-07T08:18:20.7711994Z lambda: run_node(tx.output, node, args, kwargs, nnmodule) 2025-09-07T08:18:20.7712421Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/utils.py", line 3587, in run_node 2025-09-07T08:18:20.7712829Z raise RuntimeError(make_error_message(e)).with_traceback( 2025-09-07T08:18:20.7713229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/utils.py", line 3546, in run_node 2025-09-07T08:18:20.7713658Z return node.target(*args, **kwargs) # type: ignore[operator] 2025-09-07T08:18:20.7714325Z torch._dynamo.exc.TorchRuntimeError: Dynamo failed to run FX node with fake tensors: call_function (*(FakeTensor(..., size=(4, 512), dtype=torch.int64), (BatchedTensor(lvl=1, bdim=0, value= 2025-09-07T08:18:20.7714957Z FakeTensor(..., size=(4,), dtype=torch.int64) 2025-09-07T08:18:20.7715217Z ), BatchedTensor(lvl=3, bdim=0, value= 2025-09-07T08:18:20.7715465Z FakeTensor(..., size=(512,), dtype=torch.int64) 2025-09-07T08:18:20.7716215Z ))), **{}): got RuntimeError("vmap: It looks like you're calling .item() on a Tensor. We don't support vmap over calling .item() on a Tensor, please try to rewrite what you're doing with other operations. If error is occurring somewhere inside PyTorch internals, please file a bug report.") 2025-09-07T08:18:20.7716883Z 2025-09-07T08:18:20.7716957Z from user code: 2025-09-07T08:18:20.7717327Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:18:20.7717730Z output = func(self, *args, **kwargs) 2025-09-07T08:18:20.7718154Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:18:20.7718610Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:18:20.7719029Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:18:20.7719425Z return forward_call(*args, **kwargs) 2025-09-07T08:18:20.7719822Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:18:20.7720212Z outputs = func(self, *args, **kwargs) 2025-09-07T08:18:20.7720633Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 373, in forward 2025-09-07T08:18:20.7721070Z causal_mask = create_causal_mask( 2025-09-07T08:18:20.7721491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 793, in create_causal_mask 2025-09-07T08:18:20.7721898Z causal_mask = mask_interface( 2025-09-07T08:18:20.7722322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 366, in sdpa_mask_recent_torch 2025-09-07T08:18:20.7722868Z causal_mask = _vmap_for_bhqkv(mask_function)(batch_arange, head_arange, cache_position, kv_arange) 2025-09-07T08:18:20.7723363Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T08:18:20.7723739Z return vmap_impl( 2025-09-07T08:18:20.7724076Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T08:18:20.7724435Z return _flat_vmap( 2025-09-07T08:18:20.7724818Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T08:18:20.7725262Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T08:18:20.7725663Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T08:18:20.7726036Z return vmap_impl( 2025-09-07T08:18:20.7726378Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T08:18:20.7726737Z return _flat_vmap( 2025-09-07T08:18:20.7727087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T08:18:20.7727505Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T08:18:20.7727911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T08:18:20.7728281Z return vmap_impl( 2025-09-07T08:18:20.7728623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T08:18:20.7728981Z return _flat_vmap( 2025-09-07T08:18:20.7729326Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T08:18:20.7729727Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T08:18:20.7730119Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T08:18:20.7730493Z return vmap_impl( 2025-09-07T08:18:20.7730820Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T08:18:20.7731185Z return _flat_vmap( 2025-09-07T08:18:20.7731518Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T08:18:20.7731925Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T08:18:20.7732334Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 49, in and_mask 2025-09-07T08:18:20.7732762Z result = result & mask(batch_idx, head_idx, q_idx, kv_idx) 2025-09-07T08:18:20.7733197Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 134, in inner_mask 2025-09-07T08:18:20.7733704Z return packed_sequence_mask[batch_idx, q_idx] == packed_sequence_mask[batch_idx, kv_idx] 2025-09-07T08:18:20.7734269Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/_trace_wrapped_higher_order_op.py", line 141, in __torch_function__ 2025-09-07T08:18:20.7734722Z return func(*args, **(kwargs or {})) 2025-09-07T08:18:20.7734877Z 2025-09-07T08:18:20.7735263Z Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo" 2025-09-07T08:18:20.7735708Z 2025-09-07T08:18:20.7735863Z TorchDynamo optimized model failed to run because of following error 2025-09-07T08:18:21.1306823Z fail_to_run 2025-09-07T08:18:21.1307241Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:22.5729215Z /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. 2025-09-07T08:18:22.5730624Z import pynvml # type: ignore[import] 2025-09-07T08:18:24.2807976Z 2025-09-07T08:18:25.7338399Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:25.7341148Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:18:25.7342576Z cpu eval nvidia_deeprecommender 2025-09-07T08:18:25.8593759Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:25.9132831Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:25.9647094Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:33.9690321Z pass 2025-09-07T08:18:33.9690723Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:34.9708943Z /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. 2025-09-07T08:18:34.9710334Z import pynvml # type: ignore[import] 2025-09-07T08:18:36.6802818Z 2025-09-07T08:18:37.1143963Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:37.1144412Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:37.1144742Z cpu eval opacus_cifar10 2025-09-07T08:18:37.1402214Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:37.1630738Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:37.1778758Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:46.0040390Z pass 2025-09-07T08:18:46.0040918Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:46.9195884Z /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. 2025-09-07T08:18:46.9197458Z import pynvml # type: ignore[import] 2025-09-07T08:18:48.6301096Z 2025-09-07T08:18:48.7653757Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:48.7654078Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:18:48.7654393Z cpu eval phlippe_densenet 2025-09-07T08:18:48.8084564Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:48.8381916Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:48.8669924Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:57.3513897Z pass 2025-09-07T08:18:57.3514339Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:18:58.2618928Z /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. 2025-09-07T08:18:58.2620381Z import pynvml # type: ignore[import] 2025-09-07T08:18:59.9757872Z 2025-09-07T08:19:00.0930243Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:00.0930652Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:00.0930989Z cpu eval phlippe_resnet 2025-09-07T08:19:00.1125756Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:00.1264138Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:00.1389690Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:07.0110777Z pass 2025-09-07T08:19:07.0111201Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:07.8998815Z /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. 2025-09-07T08:19:07.9000796Z import pynvml # type: ignore[import] 2025-09-07T08:19:09.6052584Z 2025-09-07T08:19:09.6868566Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:09.6868850Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:09.6869076Z cpu eval pyhpc_equation_of_state 2025-09-07T08:19:09.6874136Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:09.6893837Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:09.6905035Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:17.1762384Z pass 2025-09-07T08:19:17.1784287Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:18.0398867Z /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. 2025-09-07T08:19:18.0400302Z import pynvml # type: ignore[import] 2025-09-07T08:19:19.7551620Z 2025-09-07T08:19:19.8391478Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:19.8391746Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:19.8391969Z cpu eval pyhpc_isoneutral_mixing 2025-09-07T08:19:19.8419297Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:19.8462056Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:19.8495228Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:28.6173442Z pass 2025-09-07T08:19:28.6173838Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:29.5302298Z /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. 2025-09-07T08:19:29.5303711Z import pynvml # type: ignore[import] 2025-09-07T08:19:31.2418657Z 2025-09-07T08:19:31.6993375Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:31.6994349Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:31.6994951Z cpu eval pyhpc_turbulent_kinetic_energy 2025-09-07T08:19:31.7811355Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:31.8668279Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:31.9510357Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:41.1454290Z pass 2025-09-07T08:19:41.1454731Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:42.1305291Z /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. 2025-09-07T08:19:42.1306713Z import pynvml # type: ignore[import] 2025-09-07T08:19:43.8424527Z 2025-09-07T08:19:44.1854032Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:44.1854409Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:44.1854697Z cpu eval pytorch_CycleGAN_and_pix2pix 2025-09-07T08:19:44.5115365Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:44.5535475Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:44.5931885Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:52.4920816Z pass 2025-09-07T08:19:52.4921232Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:53.5195627Z /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. 2025-09-07T08:19:53.5197034Z import pynvml # type: ignore[import] 2025-09-07T08:19:55.2275783Z 2025-09-07T08:19:55.7085583Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:55.7085988Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:19:55.7086307Z cpu eval pytorch_stargan 2025-09-07T08:19:57.3535497Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:57.4054292Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:19:57.4557315Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:06.1990025Z pass 2025-09-07T08:20:06.1990452Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:07.3214539Z /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. 2025-09-07T08:20:07.3215906Z import pynvml # type: ignore[import] 2025-09-07T08:20:09.0304040Z 2025-09-07T08:20:09.6551259Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:20:09.6551590Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:20:09.6551837Z cpu eval pytorch_unet 2025-09-07T08:20:39.9742953Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:40.5142913Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:41.0624616Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:52.2458533Z pass 2025-09-07T08:20:52.2458971Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:53.6418448Z /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. 2025-09-07T08:20:53.6420042Z import pynvml # type: ignore[import] 2025-09-07T08:20:55.3506355Z 2025-09-07T08:20:56.3318656Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:20:56.3319013Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:20:56.3319273Z cpu eval resnet152 2025-09-07T08:20:57.2879921Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:57.4439380Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:20:57.5978047Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:07.3803995Z pass 2025-09-07T08:21:07.3804420Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:08.3806830Z /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. 2025-09-07T08:21:08.3808793Z import pynvml # type: ignore[import] 2025-09-07T08:21:10.0855877Z 2025-09-07T08:21:10.4376257Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:10.4376717Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:10.4377000Z cpu eval resnet18 2025-09-07T08:21:10.6049838Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:10.6290552Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:10.6522879Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:17.6106827Z pass 2025-09-07T08:21:17.6107231Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:18.5215070Z /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. 2025-09-07T08:21:18.5216518Z import pynvml # type: ignore[import] 2025-09-07T08:21:20.2357810Z 2025-09-07T08:21:20.7672273Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:20.7672595Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:20.7672850Z cpu eval resnet50 2025-09-07T08:21:21.1208053Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:21.1800953Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:21.2388460Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:28.9544590Z pass 2025-09-07T08:21:28.9545009Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:29.5412009Z accuracy pass_rate=81.82% 2025-09-07T08:21:29.5416126Z calls_captured gmean=0.00x mean=542.182x 2025-09-07T08:21:29.5418797Z unique_graphs gmean=0.00x mean=0.818x 2025-09-07T08:21:29.5421157Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:21:29.5423588Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:21:29.5425936Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:21:29.5428279Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:21:29.5430724Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:21:29.5431522Z compilation_latency mean=7.825 seconds 2025-09-07T08:21:29.9250448Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --accuracy --no-translation-validation --freezing --inference --amp --export-aot-inductor --disable-cudagraphs --device cpu --total-partitions 4 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_accuracy.csv 2025-09-07T08:21:30.2609916Z /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. 2025-09-07T08:21:30.2611331Z import pynvml # type: ignore[import] 2025-09-07T08:21:32.3189720Z /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. 2025-09-07T08:21:32.3191158Z import pynvml # type: ignore[import] 2025-09-07T08:21:34.0304993Z 2025-09-07T08:21:34.1868083Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:34.1868534Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:34.1868914Z cpu eval maml 2025-09-07T08:21:34.2217949Z pass_due_to_skip 2025-09-07T08:21:34.2218737Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:35.0511355Z /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. 2025-09-07T08:21:35.0512778Z import pynvml # type: ignore[import] 2025-09-07T08:21:36.7587049Z 2025-09-07T08:21:36.8854856Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:36.8855253Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:36.8855928Z cpu eval maml_omniglot 2025-09-07T08:21:36.8891555Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:36.8931816Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:36.8959379Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:50.4109832Z pass 2025-09-07T08:21:50.4110243Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:51.6000744Z /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. 2025-09-07T08:21:51.6002089Z import pynvml # type: ignore[import] 2025-09-07T08:21:53.3046954Z 2025-09-07T08:21:53.3931134Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:53.3931420Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:21:53.3931636Z cpu eval microbench_unbacked_tolist_sum 2025-09-07T08:21:53.3985537Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:53.4054365Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:21:53.4115219Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:16.2378845Z pass 2025-09-07T08:23:16.2379244Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:20.6118385Z /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. 2025-09-07T08:23:20.6119842Z import pynvml # type: ignore[import] 2025-09-07T08:23:22.3174828Z 2025-09-07T08:23:22.6259933Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:23:22.6260229Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:23:22.6260477Z cpu eval mnasnet1_0 2025-09-07T08:23:23.2495752Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:23.2881072Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:23.3237229Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:37.1934283Z pass 2025-09-07T08:23:37.1934727Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:38.5328239Z /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. 2025-09-07T08:23:38.5329688Z import pynvml # type: ignore[import] 2025-09-07T08:23:40.2453427Z 2025-09-07T08:23:40.5483505Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:23:40.5484454Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:23:40.5484692Z cpu eval mobilenet_v2 2025-09-07T08:23:41.1032216Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:41.1426097Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:41.1798318Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:55.2776088Z pass 2025-09-07T08:23:55.2776565Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:56.6296359Z /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. 2025-09-07T08:23:56.6297838Z import pynvml # type: ignore[import] 2025-09-07T08:23:58.3371376Z 2025-09-07T08:23:59.4019464Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:23:59.4019795Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:23:59.4020121Z cpu eval mobilenet_v2_quantized_qat 2025-09-07T08:23:59.4680467Z Traceback (most recent call last): 2025-09-07T08:23:59.4680952Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/graph_module.py", line 400, in __call__ 2025-09-07T08:23:59.4681440Z return super(self.cls, obj).__call__(*args, **kwargs) # type: ignore[misc] 2025-09-07T08:23:59.4681942Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:23:59.4682408Z return self._call_impl(*args, **kwargs) 2025-09-07T08:23:59.4682846Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:23:59.4683245Z return forward_call(*args, **kwargs) 2025-09-07T08:23:59.4683519Z File ".7", line 7, in forward 2025-09-07T08:23:59.4684101Z quantize_per_tensor = torch.quantize_per_tensor(x, features_0_0_input_scale_0, features_0_0_input_zero_point_0, torch.quint8); x = features_0_0_input_scale_0 = features_0_0_input_zero_point_0 = None 2025-09-07T08:23:59.4684714Z RuntimeError: Quantize only works on Float Tensor, got Double 2025-09-07T08:23:59.4684931Z 2025-09-07T08:23:59.4685121Z Call using an FX-traced Module, line 7 of the traced Module's generated forward function: 2025-09-07T08:23:59.4685520Z features_0_0_input_zero_point_0 = self.features_0_0_input_zero_point_0 2025-09-07T08:23:59.4686158Z quantize_per_tensor = torch.quantize_per_tensor(x, features_0_0_input_scale_0, features_0_0_input_zero_point_0, torch.quint8); x = features_0_0_input_scale_0 = features_0_0_input_zero_point_0 = None 2025-09-07T08:23:59.4686637Z 2025-09-07T08:23:59.4686851Z ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ <--- HERE 2025-09-07T08:23:59.4687326Z features_0_0 = getattr(getattr(self.features, "0"), "0")(quantize_per_tensor); quantize_per_tensor = None 2025-09-07T08:23:59.4687604Z 2025-09-07T08:23:59.4687801Z features_0_2 = getattr(getattr(self.features, "0"), "2")(features_0_0); features_0_0 = None 2025-09-07T08:23:59.4688072Z 2025-09-07T08:23:59.4688331Z WARNING:common:fp64 golden ref were not generated for mobilenet_v2_quantized_qat. Setting accuracy check to cosine 2025-09-07T08:23:59.4688842Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:59.5450139Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:59.6229317Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:23:59.8413858Z ERROR:common: 2025-09-07T08:23:59.8414329Z Traceback (most recent call last): 2025-09-07T08:23:59.8414765Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2320, in check_accuracy 2025-09-07T08:23:59.8415161Z optimized_model_iter_fn = optimize_ctx( 2025-09-07T08:23:59.8415563Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1545, in export_aot_inductor 2025-09-07T08:23:59.8416030Z optimized = AOTInductorModelCache.load(model, example_inputs, mode) 2025-09-07T08:23:59.8416444Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1430, in load 2025-09-07T08:23:59.8416792Z ep = torch.export.export( 2025-09-07T08:23:59.8417227Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py", line 311, in export 2025-09-07T08:23:59.8417613Z raise e 2025-09-07T08:23:59.8417934Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py", line 277, in export 2025-09-07T08:23:59.8418312Z return _export( 2025-09-07T08:23:59.8418657Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T08:23:59.8419025Z raise e 2025-09-07T08:23:59.8419350Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T08:23:59.8419721Z ep = fn(*args, **kwargs) 2025-09-07T08:23:59.8420095Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T08:23:59.8420534Z return fn(*args, **kwargs) 2025-09-07T08:23:59.8420896Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2255, in _export 2025-09-07T08:23:59.8421269Z ep = _export_for_training( 2025-09-07T08:23:59.8421636Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T08:23:59.8421990Z raise e 2025-09-07T08:23:59.8422330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T08:23:59.8422701Z ep = fn(*args, **kwargs) 2025-09-07T08:23:59.8423070Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T08:23:59.8423464Z return fn(*args, **kwargs) 2025-09-07T08:23:59.8423848Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2071, in _export_for_training 2025-09-07T08:23:59.8424266Z export_artifact = export_func( 2025-09-07T08:23:59.8424655Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1991, in _non_strict_export 2025-09-07T08:23:59.8425030Z with ( 2025-09-07T08:23:59.8425289Z File "/opt/conda/envs/py_3.9/lib/python3.9/contextlib.py", line 119, in __enter__ 2025-09-07T08:23:59.8425592Z return next(self.gen) 2025-09-07T08:23:59.8426023Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_export/non_strict_utils.py", line 899, in _fakify_script_objects 2025-09-07T08:23:59.8426453Z fake_script_obj = _maybe_fakify_obj(obj) 2025-09-07T08:23:59.8426875Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_export/non_strict_utils.py", line 883, in _maybe_fakify_obj 2025-09-07T08:23:59.8427372Z fake_obj = torch._library.fake_class_registry.maybe_to_fake_obj(fake_mode, obj) 2025-09-07T08:23:59.8427869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_library/fake_class_registry.py", line 142, in maybe_to_fake_obj 2025-09-07T08:23:59.8428322Z flat_x = x.__obj_flatten__() # type: ignore[attr-defined] 2025-09-07T08:23:59.8428858Z AttributeError: __torch__.torch.classes.quantized.Conv2dPackedParamsBase (of Python compilation unit at: 0) does not have a field with name '__obj_flatten__' 2025-09-07T08:23:59.8429430Z TorchDynamo optimized model failed to run because of following error 2025-09-07T08:23:59.8782148Z fail_to_run 2025-09-07T08:23:59.8782791Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:00.7491961Z /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. 2025-09-07T08:24:00.7493387Z import pynvml # type: ignore[import] 2025-09-07T08:24:02.4511152Z 2025-09-07T08:24:02.7868695Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:24:02.7868999Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:24:02.7869240Z cpu eval mobilenet_v3_large 2025-09-07T08:24:03.1996372Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:03.2424649Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:03.2824493Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:18.3560337Z pass 2025-09-07T08:24:18.3560960Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:19.6516375Z /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. 2025-09-07T08:24:19.6517787Z import pynvml # type: ignore[import] 2025-09-07T08:24:21.3604161Z 2025-09-07T08:24:21.9206653Z loading model: 0it [00:00, ?it/s]You are using a model of type moondream1 to instantiate a model of type phi. This is not supported for all configurations of models and can yield errors. 2025-09-07T08:24:21.9207495Z WARNING:transformers.configuration_utils:You are using a model of type moondream1 to instantiate a model of type phi. This is not supported for all configurations of models and can yield errors. 2025-09-07T08:24:33.4587099Z 2025-09-07T08:24:33.4587534Z loading model: 0it [00:12, ?it/s] 2025-09-07T08:24:33.4587858Z cpu eval moondream 2025-09-07T08:24:38.9727353Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:39.8998560Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:40.8225336Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:41.7541989Z ERROR:common: 2025-09-07T08:24:41.7542257Z Traceback (most recent call last): 2025-09-07T08:24:41.7542658Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 2320, in check_accuracy 2025-09-07T08:24:41.7542987Z optimized_model_iter_fn = optimize_ctx( 2025-09-07T08:24:41.7543933Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1545, in export_aot_inductor 2025-09-07T08:24:41.7544431Z optimized = AOTInductorModelCache.load(model, example_inputs, mode) 2025-09-07T08:24:41.7544802Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/common.py", line 1430, in load 2025-09-07T08:24:41.7545112Z ep = torch.export.export( 2025-09-07T08:24:41.7545463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py", line 311, in export 2025-09-07T08:24:41.7545774Z raise e 2025-09-07T08:24:41.7546072Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/__init__.py", line 277, in export 2025-09-07T08:24:41.7546381Z return _export( 2025-09-07T08:24:41.7546670Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T08:24:41.7546977Z raise e 2025-09-07T08:24:41.7547246Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T08:24:41.7547564Z ep = fn(*args, **kwargs) 2025-09-07T08:24:41.7548264Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T08:24:41.7548677Z return fn(*args, **kwargs) 2025-09-07T08:24:41.7548976Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2255, in _export 2025-09-07T08:24:41.7549293Z ep = _export_for_training( 2025-09-07T08:24:41.7549593Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1163, in wrapper 2025-09-07T08:24:41.7549903Z raise e 2025-09-07T08:24:41.7550175Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1129, in wrapper 2025-09-07T08:24:41.7550525Z ep = fn(*args, **kwargs) 2025-09-07T08:24:41.7550851Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/exported_program.py", line 124, in wrapper 2025-09-07T08:24:41.7551180Z return fn(*args, **kwargs) 2025-09-07T08:24:41.7551513Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2071, in _export_for_training 2025-09-07T08:24:41.7551858Z export_artifact = export_func( 2025-09-07T08:24:41.7552199Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 2002, in _non_strict_export 2025-09-07T08:24:41.7552588Z aten_export_artifact = _to_aten_func( # type: ignore[operator] 2025-09-07T08:24:41.7552989Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1793, in _export_to_aten_ir_make_fx 2025-09-07T08:24:41.7553369Z gm, graph_signature = transform(_make_fx_helper)( 2025-09-07T08:24:41.7553745Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1922, in _aot_export_non_strict 2025-09-07T08:24:41.7554140Z gm, sig = aot_export(wrapped_mod, args, kwargs=kwargs, **flags) 2025-09-07T08:24:41.7554508Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1706, in _make_fx_helper 2025-09-07T08:24:41.7554836Z gm = make_fx( 2025-09-07T08:24:41.7555158Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 2429, in wrapped 2025-09-07T08:24:41.7555506Z return make_fx_tracer.trace(f, *args) 2025-09-07T08:24:41.7555858Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 2356, in trace 2025-09-07T08:24:41.7556209Z return self._trace_inner(f, *args) 2025-09-07T08:24:41.7556570Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 2318, in _trace_inner 2025-09-07T08:24:41.7556914Z t = dispatch_trace( 2025-09-07T08:24:41.7557193Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_compile.py", line 53, in inner 2025-09-07T08:24:41.7557491Z return disable_fn(*args, **kwargs) 2025-09-07T08:24:41.7557803Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/eval_frame.py", line 1044, in _fn 2025-09-07T08:24:41.7558116Z return fn(*args, **kwargs) 2025-09-07T08:24:41.7558462Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1303, in dispatch_trace 2025-09-07T08:24:41.7558886Z graph = tracer.trace(root, concrete_args) # type: ignore[arg-type] 2025-09-07T08:24:41.7559279Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1908, in trace 2025-09-07T08:24:41.7559634Z res = super().trace(root, concrete_args) 2025-09-07T08:24:41.7559953Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 868, in trace 2025-09-07T08:24:41.7560308Z (self.create_arg(fn(*args)),), 2025-09-07T08:24:41.7560656Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1361, in wrapped 2025-09-07T08:24:41.7561015Z out = f(*tensors) # type:ignore[call-arg] 2025-09-07T08:24:41.7561226Z File "", line 1, in 2025-09-07T08:24:41.7561658Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1593, in wrapped_fn 2025-09-07T08:24:41.7561991Z return tuple(flat_fn(*args)) 2025-09-07T08:24:41.7562331Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/_aot_autograd/utils.py", line 187, in flat_fn 2025-09-07T08:24:41.7562681Z tree_out = fn(*args, **kwargs) 2025-09-07T08:24:41.7563085Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/_aot_autograd/graph_capture_wrappers.py", line 1354, in functional_call 2025-09-07T08:24:41.7563503Z out = mod(*args[params_len:], **kwargs) 2025-09-07T08:24:41.7563884Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 843, in module_call_wrapper 2025-09-07T08:24:41.7564251Z return self.call_module(mod, forward, args, kwargs) 2025-09-07T08:24:41.7564637Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1997, in call_module 2025-09-07T08:24:41.7565041Z return Tracer.call_module(self, m, forward, args, kwargs) 2025-09-07T08:24:41.7565408Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 560, in call_module 2025-09-07T08:24:41.7565739Z ret_val = forward(*args, **kwargs) 2025-09-07T08:24:41.7566053Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 836, in forward 2025-09-07T08:24:41.7566393Z return _orig_module_call(mod, *args, **kwargs) 2025-09-07T08:24:41.7566763Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:24:41.7567123Z return self._call_impl(*args, **kwargs) 2025-09-07T08:24:41.7567450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:24:41.7567788Z return forward_call(*args, **kwargs) 2025-09-07T08:24:41.7568105Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1906, in forward 2025-09-07T08:24:41.7568416Z tree_out = mod(*args, **kwargs) 2025-09-07T08:24:41.7568754Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 843, in module_call_wrapper 2025-09-07T08:24:41.7569118Z return self.call_module(mod, forward, args, kwargs) 2025-09-07T08:24:41.7569499Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1997, in call_module 2025-09-07T08:24:41.7569894Z return Tracer.call_module(self, m, forward, args, kwargs) 2025-09-07T08:24:41.7570262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 560, in call_module 2025-09-07T08:24:41.7570591Z ret_val = forward(*args, **kwargs) 2025-09-07T08:24:41.7570903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 836, in forward 2025-09-07T08:24:41.7571241Z return _orig_module_call(mod, *args, **kwargs) 2025-09-07T08:24:41.7571600Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:24:41.7571949Z return self._call_impl(*args, **kwargs) 2025-09-07T08:24:41.7572277Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:24:41.7572607Z return forward_call(*args, **kwargs) 2025-09-07T08:24:41.7572938Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T08:24:41.7573271Z output = func(self, *args, **kwargs) 2025-09-07T08:24:41.7573622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T08:24:41.7573993Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T08:24:41.7574397Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 843, in module_call_wrapper 2025-09-07T08:24:41.7574787Z return self.call_module(mod, forward, args, kwargs) 2025-09-07T08:24:41.7575165Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1997, in call_module 2025-09-07T08:24:41.7575557Z return Tracer.call_module(self, m, forward, args, kwargs) 2025-09-07T08:24:41.7575911Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 560, in call_module 2025-09-07T08:24:41.7576244Z ret_val = forward(*args, **kwargs) 2025-09-07T08:24:41.7576562Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 836, in forward 2025-09-07T08:24:41.7576923Z return _orig_module_call(mod, *args, **kwargs) 2025-09-07T08:24:41.7577283Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T08:24:41.7577644Z return self._call_impl(*args, **kwargs) 2025-09-07T08:24:41.7577984Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T08:24:41.7578318Z return forward_call(*args, **kwargs) 2025-09-07T08:24:41.7578654Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T08:24:41.7578985Z outputs = func(self, *args, **kwargs) 2025-09-07T08:24:41.7579346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 373, in forward 2025-09-07T08:24:41.7579706Z causal_mask = create_causal_mask( 2025-09-07T08:24:41.7580064Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 793, in create_causal_mask 2025-09-07T08:24:41.7580431Z causal_mask = mask_interface( 2025-09-07T08:24:41.7580784Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 366, in sdpa_mask_recent_torch 2025-09-07T08:24:41.7581262Z causal_mask = _vmap_for_bhqkv(mask_function)(batch_arange, head_arange, cache_position, kv_arange) 2025-09-07T08:24:41.7581684Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T08:24:41.7581999Z return vmap_impl( 2025-09-07T08:24:41.7582290Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T08:24:41.7582605Z return _flat_vmap( 2025-09-07T08:24:41.7582903Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T08:24:41.7583250Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T08:24:41.7583588Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T08:24:41.7583886Z return vmap_impl( 2025-09-07T08:24:41.7584176Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T08:24:41.7584490Z return _flat_vmap( 2025-09-07T08:24:41.7584785Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T08:24:41.7585114Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T08:24:41.7585450Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T08:24:41.7585755Z return vmap_impl( 2025-09-07T08:24:41.7586041Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T08:24:41.7586350Z return _flat_vmap( 2025-09-07T08:24:41.7586635Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T08:24:41.7586971Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T08:24:41.7587322Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T08:24:41.7587710Z return vmap_impl( 2025-09-07T08:24:41.7587995Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T08:24:41.7588294Z return _flat_vmap( 2025-09-07T08:24:41.7588580Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T08:24:41.7588915Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T08:24:41.7589267Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 49, in and_mask 2025-09-07T08:24:41.7589629Z result = result & mask(batch_idx, head_idx, q_idx, kv_idx) 2025-09-07T08:24:41.7590013Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 134, in inner_mask 2025-09-07T08:24:41.7590444Z return packed_sequence_mask[batch_idx, q_idx] == packed_sequence_mask[batch_idx, kv_idx] 2025-09-07T08:24:41.7590927Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/_trace_wrapped_higher_order_op.py", line 140, in __torch_function__ 2025-09-07T08:24:41.7591320Z return mod_index(args[0], index_args) 2025-09-07T08:24:41.7591644Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py", line 591, in apply 2025-09-07T08:24:41.7591970Z return custom_function_call(cls, *args, **kwargs) 2025-09-07T08:24:41.7592330Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/autograd_function.py", line 49, in __call__ 2025-09-07T08:24:41.7592711Z return super().__call__(autograd_function, *args, **kwargs) 2025-09-07T08:24:41.7593042Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 536, in __call__ 2025-09-07T08:24:41.7593319Z return wrapper() 2025-09-07T08:24:41.7593586Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 527, in wrapper 2025-09-07T08:24:41.7593900Z return torch.overrides.handle_torch_function( 2025-09-07T08:24:41.7594262Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py", line 1728, in handle_torch_function 2025-09-07T08:24:41.7594648Z result = mode.__torch_function__(public_api, types, args, kwargs) 2025-09-07T08:24:41.7595059Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1409, in __torch_function__ 2025-09-07T08:24:41.7595429Z return func(*args, **kwargs) 2025-09-07T08:24:41.7595765Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/autograd_function.py", line 49, in __call__ 2025-09-07T08:24:41.7596141Z return super().__call__(autograd_function, *args, **kwargs) 2025-09-07T08:24:41.7596461Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 536, in __call__ 2025-09-07T08:24:41.7596742Z return wrapper() 2025-09-07T08:24:41.7597003Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 527, in wrapper 2025-09-07T08:24:41.7597317Z return torch.overrides.handle_torch_function( 2025-09-07T08:24:41.7597672Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py", line 1728, in handle_torch_function 2025-09-07T08:24:41.7598045Z result = mode.__torch_function__(public_api, types, args, kwargs) 2025-09-07T08:24:41.7598463Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1479, in __torch_function__ 2025-09-07T08:24:41.7598835Z return func(*args, **kwargs) 2025-09-07T08:24:41.7599168Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/autograd_function.py", line 49, in __call__ 2025-09-07T08:24:41.7599540Z return super().__call__(autograd_function, *args, **kwargs) 2025-09-07T08:24:41.7599852Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 536, in __call__ 2025-09-07T08:24:41.7600130Z return wrapper() 2025-09-07T08:24:41.7600431Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 527, in wrapper 2025-09-07T08:24:41.7600756Z return torch.overrides.handle_torch_function( 2025-09-07T08:24:41.7601100Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py", line 1728, in handle_torch_function 2025-09-07T08:24:41.7601485Z result = mode.__torch_function__(public_api, types, args, kwargs) 2025-09-07T08:24:41.7601889Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_export/non_strict_utils.py", line 1066, in __torch_function__ 2025-09-07T08:24:41.7602247Z return func(*args, **kwargs) 2025-09-07T08:24:41.7602579Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/autograd_function.py", line 49, in __call__ 2025-09-07T08:24:41.7605041Z return super().__call__(autograd_function, *args, **kwargs) 2025-09-07T08:24:41.7605375Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 536, in __call__ 2025-09-07T08:24:41.7605672Z return wrapper() 2025-09-07T08:24:41.7605951Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 532, in wrapper 2025-09-07T08:24:41.7606240Z return self.dispatch( 2025-09-07T08:24:41.7606524Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 493, in dispatch 2025-09-07T08:24:41.7606846Z assert type(curr_mode) in self.python_key_table, ( 2025-09-07T08:24:41.7607280Z AssertionError: Current active mode not registered 2025-09-07T08:24:41.7607745Z TorchDynamo optimized model failed to run because of following error 2025-09-07T08:24:42.1275816Z fail_to_run 2025-09-07T08:24:42.1276176Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:43.6308586Z /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. 2025-09-07T08:24:43.6310007Z import pynvml # type: ignore[import] 2025-09-07T08:24:45.3451321Z 2025-09-07T08:24:46.8014085Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:24:46.8015418Z loading model: 0it [00:01, ?it/s] 2025-09-07T08:24:46.8016705Z cpu eval nvidia_deeprecommender 2025-09-07T08:24:46.9306457Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:46.9847720Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:47.0359993Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:24:59.8451116Z pass 2025-09-07T08:24:59.8451583Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:01.1005976Z /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. 2025-09-07T08:25:01.1007418Z import pynvml # type: ignore[import] 2025-09-07T08:25:02.8107763Z 2025-09-07T08:25:02.9445034Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:25:02.9445357Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:25:02.9445612Z cpu eval phlippe_densenet 2025-09-07T08:25:02.9878276Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:03.0182399Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:03.0474797Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:18.9836724Z pass 2025-09-07T08:25:18.9837522Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:20.5612983Z /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. 2025-09-07T08:25:20.5614407Z import pynvml # type: ignore[import] 2025-09-07T08:25:22.2684832Z 2025-09-07T08:25:22.3872119Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:25:22.3872508Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:25:22.3872828Z cpu eval phlippe_resnet 2025-09-07T08:25:22.4065633Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:22.4199482Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:22.4323101Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:33.1697606Z pass 2025-09-07T08:25:33.1698171Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:34.3384089Z /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. 2025-09-07T08:25:34.3385485Z import pynvml # type: ignore[import] 2025-09-07T08:25:36.0499107Z 2025-09-07T08:25:36.1313458Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:25:36.1313748Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:25:36.1313967Z cpu eval pyhpc_equation_of_state 2025-09-07T08:25:36.1319784Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:36.1339805Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:36.1351331Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:46.8485997Z pass 2025-09-07T08:25:46.8487691Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:48.0023738Z /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. 2025-09-07T08:25:48.0025184Z import pynvml # type: ignore[import] 2025-09-07T08:25:49.7204713Z 2025-09-07T08:25:49.8032007Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:25:49.8032290Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:25:49.8032508Z cpu eval pyhpc_isoneutral_mixing 2025-09-07T08:25:49.8059558Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:49.8101679Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:25:49.8134511Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:03.8085982Z pass 2025-09-07T08:26:03.8086403Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:05.1003819Z /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. 2025-09-07T08:26:05.1005263Z import pynvml # type: ignore[import] 2025-09-07T08:26:06.8110203Z 2025-09-07T08:26:07.2703900Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:26:07.2706807Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:26:07.2708737Z cpu eval pyhpc_turbulent_kinetic_energy 2025-09-07T08:26:07.3521772Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:07.4378179Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:07.5218122Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:30.1511100Z pass 2025-09-07T08:26:30.1512945Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:31.7701331Z /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. 2025-09-07T08:26:31.7702818Z import pynvml # type: ignore[import] 2025-09-07T08:26:33.4767433Z 2025-09-07T08:26:33.8206773Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:26:33.8207098Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:26:33.8207357Z cpu eval pytorch_CycleGAN_and_pix2pix 2025-09-07T08:26:34.1532626Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:34.1954565Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:34.2347268Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:46.7070213Z pass 2025-09-07T08:26:46.7070700Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:48.0092943Z /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. 2025-09-07T08:26:48.0094466Z import pynvml # type: ignore[import] 2025-09-07T08:26:49.7178610Z 2025-09-07T08:26:50.1970662Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:26:50.1971014Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:26:50.1971270Z cpu eval pytorch_stargan 2025-09-07T08:26:51.8693351Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:51.9214609Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:26:51.9726149Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:27:05.1416790Z pass 2025-09-07T08:27:06.6319535Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:27:06.6321246Z /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. 2025-09-07T08:27:06.6322623Z import pynvml # type: ignore[import] 2025-09-07T08:27:08.3343911Z 2025-09-07T08:27:08.9715009Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:27:08.9715317Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:27:08.9715566Z cpu eval pytorch_unet 2025-09-07T08:27:39.2700970Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:27:39.8151000Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:27:40.3693895Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:27:59.5711145Z pass 2025-09-07T08:27:59.5713129Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:01.3100199Z /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. 2025-09-07T08:28:01.3101623Z import pynvml # type: ignore[import] 2025-09-07T08:28:03.0195065Z 2025-09-07T08:28:03.9972838Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:28:03.9973161Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:28:03.9973386Z cpu eval resnet152 2025-09-07T08:28:04.9489293Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:05.1049684Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:05.2593168Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:29.1595209Z pass 2025-09-07T08:28:29.1595631Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:30.7224636Z /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. 2025-09-07T08:28:30.7226085Z import pynvml # type: ignore[import] 2025-09-07T08:28:32.4317189Z 2025-09-07T08:28:32.8086224Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:28:32.8086663Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:28:32.8086985Z cpu eval resnet18 2025-09-07T08:28:32.9784742Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:33.0068067Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:33.0303721Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:44.6566415Z pass 2025-09-07T08:28:44.6566899Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:45.8770853Z /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. 2025-09-07T08:28:45.8772307Z import pynvml # type: ignore[import] 2025-09-07T08:28:47.5823813Z 2025-09-07T08:28:48.1140306Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:28:48.1140613Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:28:48.1140857Z cpu eval resnet50 2025-09-07T08:28:48.4728186Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:48.5331751Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:28:48.5909593Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:29:03.2230477Z pass 2025-09-07T08:29:03.2230942Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu] 2025-09-07T08:29:04.2519864Z accuracy pass_rate=85.00% 2025-09-07T08:29:04.2520207Z calls_captured gmean=0.00x mean=0.000x 2025-09-07T08:29:04.2522358Z unique_graphs gmean=0.00x mean=0.000x 2025-09-07T08:29:04.2524830Z graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:29:04.2526887Z unique_graph_breaks gmean=0.00x mean=0.000x 2025-09-07T08:29:04.2529033Z autograd_captures gmean=0.00x mean=0.000x 2025-09-07T08:29:04.2531180Z autograd_compiles gmean=0.00x mean=0.000x 2025-09-07T08:29:04.2533560Z cudagraph_skips gmean=0.00x mean=0.000x 2025-09-07T08:29:04.2534284Z compilation_latency mean=0.000 seconds 2025-09-07T08:29:04.6667432Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *maxautotune-true* ]] 2025-09-07T08:29:04.6668293Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *cudagraphs_low_precision-true* ]] 2025-09-07T08:29:04.6668808Z + for target in "${targets[@]}" 2025-09-07T08:29:04.6669014Z + target_flag=('--performance') 2025-09-07T08:29:04.6669197Z + local target_flag 2025-09-07T08:29:04.6669383Z + [[ performance == \p\e\r\f\o\r\m\a\n\c\e ]] 2025-09-07T08:29:04.6669912Z + target_flag+=(--cold-start-latency) 2025-09-07T08:29:04.6670398Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *freezing-true* ]] 2025-09-07T08:29:04.6670852Z + target_flag+=(--freezing) 2025-09-07T08:29:04.6671323Z + [[ training-false-inference-true-default-true-dynamic-true-cppwrapper-true-aotinductor-true-freezing-true == *default-true* ]] 2025-09-07T08:29:04.6672437Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --performance --cold-start-latency --freezing --inference --amp --backend inductor --disable-cudagraphs --device cpu --total-partitions 4 --partition-id 2 --output /var/lib/jenkins/workspace/test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance.csv 2025-09-07T08:29:05.0247473Z /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. 2025-09-07T08:29:05.0248914Z import pynvml # type: ignore[import] 2025-09-07T08:29:07.0900610Z /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. 2025-09-07T08:29:07.0902043Z import pynvml # type: ignore[import] 2025-09-07T08:29:08.7980068Z 2025-09-07T08:29:09.5584964Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:29:09.5586071Z loading model: 0it [00:00, ?it/s] 2025-09-07T08:29:09.5586590Z cpu eval llama 2025-09-07T08:29:44.8367655Z 2025-09-07T08:29:45.0232860Z running benchmark: 0% 0/30 [00:00 0) | ((((-s78 + (((13 - s56)//2)) + 1)//2)) + 1 > 0) 2025-09-07T08:30:24.6664015Z W0907 08:30:24.664771 110167 site-packages/torch/fx/experimental/symbolic_shapes.py:6839] [9/1] _maybe_guard_rel() was called on non-relation expression (-s24 + (((-s72 + (((13 - s98)//2)) + 1)//2)) + 2 > 0) | (-s67 + (((-s78 + (((13 - s56)//2)) + 1)//2)) + 2 > 0) 2025-09-07T08:30:38.5779138Z 2025-09-07T08:30:38.7481364Z running benchmark: 0% 0/30 [00:00 2025-09-07T08:40:02.4485277Z map(lambda p: p[1] - self.update_lr * p[0], zip(grad, net.parameters())) 2025-09-07T08:40:02.4485459Z 2025-09-07T08:40:02.4485568Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4485953Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 171, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4486298Z fast_weights = list( 2025-09-07T08:40:02.4486560Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 172, in 2025-09-07T08:40:02.4486893Z map(lambda p: p[1] - self.update_lr * p[0], zip(grad, net.parameters())) 2025-09-07T08:40:02.4487067Z 2025-09-07T08:40:02.4487167Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4487535Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 171, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4487865Z fast_weights = list( 2025-09-07T08:40:02.4488115Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 172, in 2025-09-07T08:40:02.4488434Z map(lambda p: p[1] - self.update_lr * p[0], zip(grad, net.parameters())) 2025-09-07T08:40:02.4488605Z 2025-09-07T08:40:02.4488705Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4489060Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 171, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4489419Z fast_weights = list( 2025-09-07T08:40:02.4489663Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 172, in 2025-09-07T08:40:02.4489983Z map(lambda p: p[1] - self.update_lr * p[0], zip(grad, net.parameters())) 2025-09-07T08:40:02.4490150Z 2025-09-07T08:40:02.4490362Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4490713Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 171, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4491043Z fast_weights = list( 2025-09-07T08:40:02.4491287Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 172, in 2025-09-07T08:40:02.4491602Z map(lambda p: p[1] - self.update_lr * p[0], zip(grad, net.parameters())) 2025-09-07T08:40:02.4491770Z 2025-09-07T08:40:02.4491870Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4492230Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 171, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4492600Z fast_weights = list( 2025-09-07T08:40:02.4492844Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 172, in 2025-09-07T08:40:02.4493153Z map(lambda p: p[1] - self.update_lr * p[0], zip(grad, net.parameters())) 2025-09-07T08:40:02.4493322Z 2025-09-07T08:40:02.4493420Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4493773Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 171, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4494097Z fast_weights = list( 2025-09-07T08:40:02.4494344Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 172, in 2025-09-07T08:40:02.4494653Z map(lambda p: p[1] - self.update_lr * p[0], zip(grad, net.parameters())) 2025-09-07T08:40:02.4494829Z 2025-09-07T08:40:02.4494927Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4495283Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 171, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4495611Z fast_weights = list( 2025-09-07T08:40:02.4495857Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 172, in 2025-09-07T08:40:02.4496165Z map(lambda p: p[1] - self.update_lr * p[0], zip(grad, net.parameters())) 2025-09-07T08:40:02.4496346Z 2025-09-07T08:40:02.4496447Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4496824Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 178, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4497198Z logits_q = net(x_qry, net.parameters(), bn_training=True) 2025-09-07T08:40:02.4497514Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:02.4497818Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:02.4497975Z 2025-09-07T08:40:02.4498072Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4498430Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 178, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4498804Z logits_q = net(x_qry, net.parameters(), bn_training=True) 2025-09-07T08:40:02.4499117Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:02.4499420Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:02.4499575Z 2025-09-07T08:40:02.4499674Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4500030Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 178, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4500394Z logits_q = net(x_qry, net.parameters(), bn_training=True) 2025-09-07T08:40:02.4500690Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:02.4500956Z x = F.batch_norm( 2025-09-07T08:40:02.4501056Z 2025-09-07T08:40:02.4501151Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4501505Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 178, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4501872Z logits_q = net(x_qry, net.parameters(), bn_training=True) 2025-09-07T08:40:02.4502171Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:02.4502548Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:02.4502703Z 2025-09-07T08:40:02.4502799Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4503156Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 178, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4503518Z logits_q = net(x_qry, net.parameters(), bn_training=True) 2025-09-07T08:40:02.4503815Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:02.4504083Z x = F.batch_norm( 2025-09-07T08:40:02.4504175Z 2025-09-07T08:40:02.4504282Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4504655Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 178, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4505010Z logits_q = net(x_qry, net.parameters(), bn_training=True) 2025-09-07T08:40:02.4505313Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:02.4505614Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:02.4505762Z 2025-09-07T08:40:02.4505868Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4506227Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 178, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4506579Z logits_q = net(x_qry, net.parameters(), bn_training=True) 2025-09-07T08:40:02.4506879Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:02.4507140Z x = F.batch_norm( 2025-09-07T08:40:02.4507232Z 2025-09-07T08:40:02.4507333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4507680Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 178, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4508041Z logits_q = net(x_qry, net.parameters(), bn_training=True) 2025-09-07T08:40:02.4508345Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:02.4508647Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:02.4508791Z 2025-09-07T08:40:02.4508913Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4509260Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 178, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4509622Z logits_q = net(x_qry, net.parameters(), bn_training=True) 2025-09-07T08:40:02.4509924Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:02.4510188Z x = F.batch_norm( 2025-09-07T08:40:02.4510278Z 2025-09-07T08:40:02.4510385Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:02.4510729Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 178, in torch_dynamo_resume_in_finetunning_at_170 2025-09-07T08:40:02.4511089Z logits_q = net(x_qry, net.parameters(), bn_training=True) 2025-09-07T08:40:02.4511391Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:02.4511660Z x = F.linear(x, w, b) 2025-09-07T08:40:02.4511764Z 2025-09-07T08:40:07.0922581Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0923044Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0923437Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0923753Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0924085Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0924257Z 2025-09-07T08:40:07.0924367Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0924736Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0925102Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0926570Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0926909Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0927069Z 2025-09-07T08:40:07.0927172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0927532Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0927892Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0928183Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0928482Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0928684Z 2025-09-07T08:40:07.0928784Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0929139Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0929491Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0929786Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0930085Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0930228Z 2025-09-07T08:40:07.0930333Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0930686Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0931033Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0931333Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0931629Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0931772Z 2025-09-07T08:40:07.0931919Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0932273Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0932632Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0932959Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0933258Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0933407Z 2025-09-07T08:40:07.0933504Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0933859Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0934209Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0934496Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0934787Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0934934Z 2025-09-07T08:40:07.0935030Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0935389Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0935739Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0936028Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0936320Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0936461Z 2025-09-07T08:40:07.0936567Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0936920Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0937265Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0937562Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0937856Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0937999Z 2025-09-07T08:40:07.0938102Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0938497Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0938842Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0939139Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:07.0939412Z x = F.linear(x, w, b) 2025-09-07T08:40:07.0939514Z 2025-09-07T08:40:07.0939616Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0939960Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0940315Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0940638Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:07.0940910Z x = F.linear(x, w, b) 2025-09-07T08:40:07.0941010Z 2025-09-07T08:40:07.0941114Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0941459Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0941814Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0942107Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0942403Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0942546Z 2025-09-07T08:40:07.0942646Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0942990Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0943339Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0943632Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:07.0943902Z x = F.batch_norm( 2025-09-07T08:40:07.0943995Z 2025-09-07T08:40:07.0944090Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0944443Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0944815Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0945111Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0945399Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0945539Z 2025-09-07T08:40:07.0945633Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0945979Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0946327Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0946619Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:07.0946881Z x = F.batch_norm( 2025-09-07T08:40:07.0946972Z 2025-09-07T08:40:07.0947067Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0947421Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0947772Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0948063Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0969824Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0970105Z 2025-09-07T08:40:07.0970235Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0970634Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0971027Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0971345Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:07.0971621Z x = F.batch_norm( 2025-09-07T08:40:07.0971733Z 2025-09-07T08:40:07.0971993Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0972368Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0972742Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0973054Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:07.0973359Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:07.0973518Z 2025-09-07T08:40:07.0973620Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0973980Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0974399Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0974710Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:07.0974982Z x = F.batch_norm( 2025-09-07T08:40:07.0975093Z 2025-09-07T08:40:07.0975193Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:07.0975565Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 188, in torch_dynamo_resume_in_finetunning_at_182 2025-09-07T08:40:07.0975935Z logits_q = net(x_qry, fast_weights, bn_training=True) 2025-09-07T08:40:07.0976233Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:07.0976517Z x = F.linear(x, w, b) 2025-09-07T08:40:07.0976630Z 2025-09-07T08:40:09.0442549Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0442940Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0443314Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0443482Z 2025-09-07T08:40:09.0443591Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0443911Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0444234Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0444393Z 2025-09-07T08:40:09.0444494Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0445101Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0445422Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0445569Z 2025-09-07T08:40:09.0445676Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0445969Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0446271Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0446427Z 2025-09-07T08:40:09.0446525Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0446824Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0447126Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0447271Z 2025-09-07T08:40:09.0447369Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0447671Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0447972Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0448113Z 2025-09-07T08:40:09.0448218Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0448586Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0448880Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0449031Z 2025-09-07T08:40:09.0449126Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0449430Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0449728Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0449871Z 2025-09-07T08:40:09.0449968Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0450378Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0450685Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0450829Z 2025-09-07T08:40:09.0450935Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0451234Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:09.0451507Z x = F.linear(x, w, b) 2025-09-07T08:40:09.0451622Z 2025-09-07T08:40:09.0451720Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0452016Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:09.0452335Z x = F.linear(x, w, b) 2025-09-07T08:40:09.0452439Z 2025-09-07T08:40:09.0452572Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0452858Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0453158Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0453307Z 2025-09-07T08:40:09.0453402Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0453700Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:09.0453965Z x = F.batch_norm( 2025-09-07T08:40:09.0454058Z 2025-09-07T08:40:09.0454153Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0454452Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0454748Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0454895Z 2025-09-07T08:40:09.0454997Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0455290Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:09.0455560Z x = F.batch_norm( 2025-09-07T08:40:09.0455660Z 2025-09-07T08:40:09.0455754Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0456053Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0457413Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0457574Z 2025-09-07T08:40:09.0457672Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0457973Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:09.0458244Z x = F.batch_norm( 2025-09-07T08:40:09.0458337Z 2025-09-07T08:40:09.0458442Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0458749Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.0459046Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.0459198Z 2025-09-07T08:40:09.0459292Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0459590Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:09.0459859Z x = F.batch_norm( 2025-09-07T08:40:09.0459952Z 2025-09-07T08:40:09.0460044Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.0460343Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:09.0460613Z x = F.linear(x, w, b) 2025-09-07T08:40:09.0460713Z 2025-09-07T08:40:09.6190897Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6191267Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:09.6191557Z x = F.linear(x, w, b) 2025-09-07T08:40:09.6191683Z 2025-09-07T08:40:09.6191808Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6192125Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:09.6192404Z x = F.linear(x, w, b) 2025-09-07T08:40:09.6192508Z 2025-09-07T08:40:09.6192615Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6193178Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:09.6193450Z x = F.linear(x, w, b) 2025-09-07T08:40:09.6193559Z 2025-09-07T08:40:09.6193649Z cudagraph partition due to non gpu ops 2025-09-07T08:40:09.6193865Z cudagraph partition due to non gpu ops 2025-09-07T08:40:09.6194095Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6194390Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6194707Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6194871Z 2025-09-07T08:40:09.6194978Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6195327Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6195633Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6195781Z 2025-09-07T08:40:09.6195878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6196182Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6196496Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6196642Z 2025-09-07T08:40:09.6196728Z cudagraph partition due to non gpu ops 2025-09-07T08:40:09.6196924Z cudagraph partition due to non gpu ops 2025-09-07T08:40:09.6197149Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6197446Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6197744Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6197889Z 2025-09-07T08:40:09.6197992Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6198277Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6198573Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6198723Z 2025-09-07T08:40:09.6198825Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6199119Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6199453Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6199607Z 2025-09-07T08:40:09.6199682Z cudagraph partition due to non gpu ops 2025-09-07T08:40:09.6199883Z cudagraph partition due to non gpu ops 2025-09-07T08:40:09.6200122Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6200418Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6200717Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6200863Z 2025-09-07T08:40:09.6200958Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6201254Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6201552Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6201696Z 2025-09-07T08:40:09.6201800Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6202088Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6202385Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6202532Z 2025-09-07T08:40:09.6202607Z cudagraph partition due to non gpu ops 2025-09-07T08:40:09.6202810Z cudagraph partition due to non gpu ops 2025-09-07T08:40:09.6203033Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6203321Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6203622Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6203771Z 2025-09-07T08:40:09.6203867Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6204161Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6204518Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6204670Z 2025-09-07T08:40:09.6204765Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6205072Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6205374Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6205529Z 2025-09-07T08:40:09.6205627Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6205928Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6206234Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6206403Z 2025-09-07T08:40:09.6206497Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6206797Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6207090Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6207231Z 2025-09-07T08:40:09.6207335Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6207633Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6207925Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6208077Z 2025-09-07T08:40:09.6208172Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6208473Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:09.6208742Z x = F.linear(x, w, b) 2025-09-07T08:40:09.6208844Z 2025-09-07T08:40:09.6208946Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6209234Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6209527Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6209678Z 2025-09-07T08:40:09.6209774Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6210070Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6210363Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6210514Z 2025-09-07T08:40:09.6210635Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6210932Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6211227Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6211370Z 2025-09-07T08:40:09.6211474Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:09.6211761Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:09.6212058Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:09.6212205Z 2025-09-07T08:40:10.7662017Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:10.7662451Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 203, in 2025-09-07T08:40:10.7662891Z map(lambda p: p[1] - self.update_lr * p[0], zip(grad, fast_weights)) 2025-09-07T08:40:10.7663097Z 2025-09-07T08:40:11.3073256Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:11.3073646Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 203, in 2025-09-07T08:40:11.3074005Z map(lambda p: p[1] - self.update_lr * p[0], zip(grad, fast_weights)) 2025-09-07T08:40:11.3074188Z 2025-09-07T08:40:12.5788585Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:12.5788971Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 203, in 2025-09-07T08:40:12.5789334Z map(lambda p: p[1] - self.update_lr * p[0], zip(grad, fast_weights)) 2025-09-07T08:40:12.5789539Z 2025-09-07T08:40:14.4293891Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:14.4294337Z File "/torchbench/torchbenchmark/models/maml/meta.py", line 203, in 2025-09-07T08:40:14.4294978Z map(lambda p: p[1] - self.update_lr * p[0], zip(grad, fast_weights)) 2025-09-07T08:40:14.4295279Z 2025-09-07T08:40:16.0571775Z W0907 08:40:16.055649 135252 site-packages/torch/fx/experimental/symbolic_shapes.py:6839] [9/1] _maybe_guard_rel() was called on non-relation expression ((((-s72 + (((13 - s98)//2)) + 1)//2)) + 1 > 0) | ((((-s78 + (((13 - s56)//2)) + 1)//2)) + 1 > 0) 2025-09-07T08:40:16.5135027Z W0907 08:40:16.512309 135252 site-packages/torch/fx/experimental/symbolic_shapes.py:6839] [9/1] _maybe_guard_rel() was called on non-relation expression (-s24 + (((-s72 + (((13 - s98)//2)) + 1)//2)) + 2 > 0) | (-s67 + (((-s78 + (((13 - s56)//2)) + 1)//2)) + 2 > 0) 2025-09-07T08:40:18.9621261Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9621641Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9621973Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9622138Z 2025-09-07T08:40:18.9622244Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9622590Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9622901Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9623057Z 2025-09-07T08:40:18.9623154Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9623464Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9623771Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9623915Z 2025-09-07T08:40:18.9624022Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9624326Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9624626Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9624773Z 2025-09-07T08:40:18.9624868Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9625164Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9625462Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9625603Z 2025-09-07T08:40:18.9625951Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9626286Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9626588Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9626746Z 2025-09-07T08:40:18.9626842Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9627144Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9627438Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9627585Z 2025-09-07T08:40:18.9627679Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9627977Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9628280Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9628425Z 2025-09-07T08:40:18.9628529Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9628822Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9629117Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9629267Z 2025-09-07T08:40:18.9629362Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9629661Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:18.9629936Z x = F.linear(x, w, b) 2025-09-07T08:40:18.9630044Z 2025-09-07T08:40:18.9630140Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9630434Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:18.9630702Z x = F.linear(x, w, b) 2025-09-07T08:40:18.9630806Z 2025-09-07T08:40:18.9630910Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9631299Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9631604Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9631755Z 2025-09-07T08:40:18.9631854Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9632153Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 203, in forward 2025-09-07T08:40:18.9632438Z x = F.relu(x, inplace=param[0]) 2025-09-07T08:40:18.9632566Z 2025-09-07T08:40:18.9632665Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9632972Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:18.9633276Z x = F.batch_norm( 2025-09-07T08:40:18.9633368Z 2025-09-07T08:40:18.9633466Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9633754Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9634053Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9634204Z 2025-09-07T08:40:18.9634298Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9634597Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:18.9634862Z x = F.batch_norm( 2025-09-07T08:40:18.9634953Z 2025-09-07T08:40:18.9635046Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9635340Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9635632Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9635776Z 2025-09-07T08:40:18.9635878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9636170Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:18.9636425Z x = F.batch_norm( 2025-09-07T08:40:18.9636520Z 2025-09-07T08:40:18.9636611Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9636914Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:18.9637228Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:18.9637373Z 2025-09-07T08:40:18.9637467Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9637755Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 190, in forward 2025-09-07T08:40:18.9638020Z x = F.batch_norm( 2025-09-07T08:40:18.9638110Z 2025-09-07T08:40:18.9638211Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:18.9638503Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:18.9638765Z x = F.linear(x, w, b) 2025-09-07T08:40:18.9638875Z 2025-09-07T08:40:22.5896422Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5896814Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:22.5897155Z x = F.linear(x, w, b) 2025-09-07T08:40:22.5897307Z 2025-09-07T08:40:22.5897426Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5897735Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:22.5898013Z x = F.linear(x, w, b) 2025-09-07T08:40:22.5898128Z 2025-09-07T08:40:22.5898212Z cudagraph partition due to non gpu ops 2025-09-07T08:40:22.5898421Z cudagraph partition due to non gpu ops 2025-09-07T08:40:22.5898645Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5898939Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5899261Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5899421Z 2025-09-07T08:40:22.5899522Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5899821Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5900392Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5900539Z 2025-09-07T08:40:22.5900636Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5900938Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5901236Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5901377Z 2025-09-07T08:40:22.5901461Z cudagraph partition due to non gpu ops 2025-09-07T08:40:22.5901656Z cudagraph partition due to non gpu ops 2025-09-07T08:40:22.5901878Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5902169Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5902520Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5902661Z 2025-09-07T08:40:22.5902760Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5903045Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5903343Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5903491Z 2025-09-07T08:40:22.5903587Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5903881Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5904171Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5904319Z 2025-09-07T08:40:22.5904391Z cudagraph partition due to non gpu ops 2025-09-07T08:40:22.5904586Z cudagraph partition due to non gpu ops 2025-09-07T08:40:22.5904807Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5905104Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5905388Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5905537Z 2025-09-07T08:40:22.5905632Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5905928Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5906222Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5906362Z 2025-09-07T08:40:22.5906514Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5906806Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5907103Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5907246Z 2025-09-07T08:40:22.5907329Z cudagraph partition due to non gpu ops 2025-09-07T08:40:22.5907526Z cudagraph partition due to non gpu ops 2025-09-07T08:40:22.5907744Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5908042Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5908334Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5908475Z 2025-09-07T08:40:22.5908579Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5908900Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5909191Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5909340Z 2025-09-07T08:40:22.5909437Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5909737Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5910031Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5910171Z 2025-09-07T08:40:22.5910274Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5910559Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5910870Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5911024Z 2025-09-07T08:40:22.5911122Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5911447Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5911771Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5911930Z 2025-09-07T08:40:22.5912031Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5912342Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5912651Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5912799Z 2025-09-07T08:40:22.5912908Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5913210Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 181, in forward 2025-09-07T08:40:22.5913517Z x = F.linear(x, w, b) 2025-09-07T08:40:22.5913628Z 2025-09-07T08:40:22.5913723Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5914030Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5914315Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5914467Z 2025-09-07T08:40:22.5914560Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5914852Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5915142Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5915282Z 2025-09-07T08:40:22.5915384Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5915668Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5915957Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5916109Z 2025-09-07T08:40:22.5916202Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:40:22.5916490Z File "/torchbench/torchbenchmark/models/maml/learner.py", line 170, in forward 2025-09-07T08:40:22.5916782Z x = F.conv2d(x, w, b, stride=param[4], padding=param[5]) 2025-09-07T08:40:22.5916923Z 2025-09-07T08:40:30.2487731Z 2025-09-07T08:40:30.4174356Z running benchmark: 0% 0/30 [00:00 0.0, rjm, rjp) / torch.where(torch.abs(rj) < eps, eps, rj) 2025-09-07T08:46:27.5880041Z 2025-09-07T08:46:27.5880145Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:46:27.5880493Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:46:27.5880797Z return mod(*inputs) 2025-09-07T08:46:27.5881110Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/__init__.py", line 100, in forward 2025-09-07T08:46:27.5881460Z return tke_pytorch.integrate_tke( 2025-09-07T08:46:27.5881819Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 296, in integrate_tke 2025-09-07T08:46:27.5882182Z adv_flux_superbee_wgrid( 2025-09-07T08:46:27.5882542Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 140, in adv_flux_superbee_wgrid 2025-09-07T08:46:27.5882928Z adv_fe[1:-2, 2:-2, :] = _adv_superbee( 2025-09-07T08:46:27.5883292Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 79, in _adv_superbee 2025-09-07T08:46:27.5883698Z - torch.abs(vel[1:-2, 2:-2, :]) * ((1.0 - cr) + uCFL * cr) * rj * 0.5 2025-09-07T08:46:27.5883868Z 2025-09-07T08:46:27.5883953Z cudagraph partition due to non gpu ops 2025-09-07T08:46:27.5884155Z cudagraph partition due to non gpu ops 2025-09-07T08:46:27.5884359Z cudagraph partition due to non gpu ops 2025-09-07T08:46:27.5884588Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:46:27.5884939Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:46:27.5885244Z return mod(*inputs) 2025-09-07T08:46:27.5885579Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/__init__.py", line 100, in forward 2025-09-07T08:46:27.5885925Z return tke_pytorch.integrate_tke( 2025-09-07T08:46:27.5886285Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 320, in integrate_tke 2025-09-07T08:46:27.5886687Z dtke[:, :, 1:-1, tau] += -(flux_top[:, :, 1:-1] - flux_top[:, :, :-2]) / dzw[1:-1] 2025-09-07T08:46:27.5886876Z 2025-09-07T08:46:27.5886953Z cudagraph partition due to non gpu ops 2025-09-07T08:46:27.5887187Z cudagraph partition due to non gpu ops. Found from : 2025-09-07T08:46:27.5887531Z File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 482, in forward_pass 2025-09-07T08:46:27.5887878Z return mod(*inputs) 2025-09-07T08:46:27.5888185Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/__init__.py", line 100, in forward 2025-09-07T08:46:27.5888532Z return tke_pytorch.integrate_tke( 2025-09-07T08:46:27.5888897Z File "/torchbench/torchbenchmark/models/pyhpc_turbulent_kinetic_energy/tke_pytorch.py", line 321, in integrate_tke 2025-09-07T08:46:27.5889313Z dtke[:, :, -1, tau] += -(flux_top[:, :, -1] - flux_top[:, :, -2]) / (0.5 * dzw[-1]) 2025-09-07T08:46:27.5889489Z 2025-09-07T08:46:27.5889573Z cudagraph partition due to non gpu ops 2025-09-07T08:46:27.5889774Z cudagraph partition due to non gpu ops 2025-09-07T08:46:27.5889976Z cudagraph partition due to non gpu ops 2025-09-07T08:46:27.5890180Z cudagraph partition due to non gpu ops 2025-09-07T08:46:27.5890382Z cudagraph partition due to non gpu ops 2025-09-07T08:46:49.8651652Z 2025-09-07T08:46:49.9717407Z running benchmark: 0% 0/30 [00:00 0) | ((((-s78 + (((13 - s56)//2)) + 1)//2)) + 1 > 0) 2025-09-07T08:50:44.8425776Z W0907 08:50:44.840861 161031 site-packages/torch/fx/experimental/symbolic_shapes.py:6839] [9/1] _maybe_guard_rel() was called on non-relation expression (-s24 + (((-s72 + (((13 - s98)//2)) + 1)//2)) + 2 > 0) | (-s67 + (((-s78 + (((13 - s56)//2)) + 1)//2)) + 2 > 0) 2025-09-07T08:50:55.7355872Z 2025-09-07T08:50:55.9095777Z running benchmark: 0% 0/30 [00:00", line 1, in 2025-09-07T09:02:57.3028307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1593, in wrapped_fn 2025-09-07T09:02:57.3028637Z return tuple(flat_fn(*args)) 2025-09-07T09:02:57.3028978Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/_aot_autograd/utils.py", line 187, in flat_fn 2025-09-07T09:02:57.3029312Z tree_out = fn(*args, **kwargs) 2025-09-07T09:02:57.3029706Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/_aot_autograd/graph_capture_wrappers.py", line 1354, in functional_call 2025-09-07T09:02:57.3030123Z out = mod(*args[params_len:], **kwargs) 2025-09-07T09:02:57.3030477Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 843, in module_call_wrapper 2025-09-07T09:02:57.3030852Z return self.call_module(mod, forward, args, kwargs) 2025-09-07T09:02:57.3031229Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1997, in call_module 2025-09-07T09:02:57.3031630Z return Tracer.call_module(self, m, forward, args, kwargs) 2025-09-07T09:02:57.3031993Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 560, in call_module 2025-09-07T09:02:57.3032326Z ret_val = forward(*args, **kwargs) 2025-09-07T09:02:57.3032651Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 836, in forward 2025-09-07T09:02:57.3032983Z return _orig_module_call(mod, *args, **kwargs) 2025-09-07T09:02:57.3033359Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:02:57.3033717Z return self._call_impl(*args, **kwargs) 2025-09-07T09:02:57.3034073Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:02:57.3034405Z return forward_call(*args, **kwargs) 2025-09-07T09:02:57.3034722Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/export/_trace.py", line 1906, in forward 2025-09-07T09:02:57.3035037Z tree_out = mod(*args, **kwargs) 2025-09-07T09:02:57.3035386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 843, in module_call_wrapper 2025-09-07T09:02:57.3035763Z return self.call_module(mod, forward, args, kwargs) 2025-09-07T09:02:57.3036140Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1997, in call_module 2025-09-07T09:02:57.3036556Z return Tracer.call_module(self, m, forward, args, kwargs) 2025-09-07T09:02:57.3036917Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 560, in call_module 2025-09-07T09:02:57.3037247Z ret_val = forward(*args, **kwargs) 2025-09-07T09:02:57.3037564Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 836, in forward 2025-09-07T09:02:57.3037896Z return _orig_module_call(mod, *args, **kwargs) 2025-09-07T09:02:57.3038257Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:02:57.3038611Z return self._call_impl(*args, **kwargs) 2025-09-07T09:02:57.3038944Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:02:57.3039271Z return forward_call(*args, **kwargs) 2025-09-07T09:02:57.3039625Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 961, in wrapper 2025-09-07T09:02:57.3039976Z output = func(self, *args, **kwargs) 2025-09-07T09:02:57.3040337Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 480, in forward 2025-09-07T09:02:57.3040720Z outputs: BaseModelOutputWithPast = self.model( 2025-09-07T09:02:57.3041081Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 843, in module_call_wrapper 2025-09-07T09:02:57.3041455Z return self.call_module(mod, forward, args, kwargs) 2025-09-07T09:02:57.3041837Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1997, in call_module 2025-09-07T09:02:57.3042234Z return Tracer.call_module(self, m, forward, args, kwargs) 2025-09-07T09:02:57.3042599Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 560, in call_module 2025-09-07T09:02:57.3042926Z ret_val = forward(*args, **kwargs) 2025-09-07T09:02:57.3043247Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/_symbolic_trace.py", line 836, in forward 2025-09-07T09:02:57.3043584Z return _orig_module_call(mod, *args, **kwargs) 2025-09-07T09:02:57.3043947Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1775, in _wrapped_call_impl 2025-09-07T09:02:57.3044291Z return self._call_impl(*args, **kwargs) 2025-09-07T09:02:57.3044623Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1786, in _call_impl 2025-09-07T09:02:57.3044959Z return forward_call(*args, **kwargs) 2025-09-07T09:02:57.3045291Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/utils/generic.py", line 1069, in wrapper 2025-09-07T09:02:57.3045625Z outputs = func(self, *args, **kwargs) 2025-09-07T09:02:57.3045973Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/models/phi/modeling_phi.py", line 373, in forward 2025-09-07T09:02:57.3046334Z causal_mask = create_causal_mask( 2025-09-07T09:02:57.3046698Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 793, in create_causal_mask 2025-09-07T09:02:57.3047053Z causal_mask = mask_interface( 2025-09-07T09:02:57.3047411Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 366, in sdpa_mask_recent_torch 2025-09-07T09:02:57.3047871Z causal_mask = _vmap_for_bhqkv(mask_function)(batch_arange, head_arange, cache_position, kv_arange) 2025-09-07T09:02:57.3048296Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T09:02:57.3048788Z return vmap_impl( 2025-09-07T09:02:57.3049087Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T09:02:57.3049393Z return _flat_vmap( 2025-09-07T09:02:57.3049759Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T09:02:57.3050104Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T09:02:57.3050441Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T09:02:57.3050744Z return vmap_impl( 2025-09-07T09:02:57.3051027Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T09:02:57.3051335Z return _flat_vmap( 2025-09-07T09:02:57.3051622Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T09:02:57.3051962Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T09:02:57.3052286Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T09:02:57.3052590Z return vmap_impl( 2025-09-07T09:02:57.3052908Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T09:02:57.3053250Z return _flat_vmap( 2025-09-07T09:02:57.3053538Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T09:02:57.3053875Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T09:02:57.3054206Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/apis.py", line 208, in wrapped 2025-09-07T09:02:57.3054500Z return vmap_impl( 2025-09-07T09:02:57.3054787Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 282, in vmap_impl 2025-09-07T09:02:57.3055093Z return _flat_vmap( 2025-09-07T09:02:57.3055380Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/vmap.py", line 432, in _flat_vmap 2025-09-07T09:02:57.3055704Z batched_outputs = func(*batched_inputs, **kwargs) 2025-09-07T09:02:57.3056054Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 49, in and_mask 2025-09-07T09:02:57.3056422Z result = result & mask(batch_idx, head_idx, q_idx, kv_idx) 2025-09-07T09:02:57.3056791Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/transformers/masking_utils.py", line 134, in inner_mask 2025-09-07T09:02:57.3057216Z return packed_sequence_mask[batch_idx, q_idx] == packed_sequence_mask[batch_idx, kv_idx] 2025-09-07T09:02:57.3057687Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_dynamo/_trace_wrapped_higher_order_op.py", line 140, in __torch_function__ 2025-09-07T09:02:57.3058078Z return mod_index(args[0], index_args) 2025-09-07T09:02:57.3058399Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/autograd/function.py", line 591, in apply 2025-09-07T09:02:57.3058730Z return custom_function_call(cls, *args, **kwargs) 2025-09-07T09:02:57.3059091Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/autograd_function.py", line 49, in __call__ 2025-09-07T09:02:57.3059471Z return super().__call__(autograd_function, *args, **kwargs) 2025-09-07T09:02:57.3059828Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 536, in __call__ 2025-09-07T09:02:57.3060117Z return wrapper() 2025-09-07T09:02:57.3060386Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 527, in wrapper 2025-09-07T09:02:57.3060694Z return torch.overrides.handle_torch_function( 2025-09-07T09:02:57.3061055Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py", line 1728, in handle_torch_function 2025-09-07T09:02:57.3061444Z result = mode.__torch_function__(public_api, types, args, kwargs) 2025-09-07T09:02:57.3061869Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1409, in __torch_function__ 2025-09-07T09:02:57.3062245Z return func(*args, **kwargs) 2025-09-07T09:02:57.3062577Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/autograd_function.py", line 49, in __call__ 2025-09-07T09:02:57.3062978Z return super().__call__(autograd_function, *args, **kwargs) 2025-09-07T09:02:57.3063307Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 536, in __call__ 2025-09-07T09:02:57.3063595Z return wrapper() 2025-09-07T09:02:57.3063859Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 527, in wrapper 2025-09-07T09:02:57.3064163Z return torch.overrides.handle_torch_function( 2025-09-07T09:02:57.3064522Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py", line 1728, in handle_torch_function 2025-09-07T09:02:57.3064913Z result = mode.__torch_function__(public_api, types, args, kwargs) 2025-09-07T09:02:57.3065346Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/fx/experimental/proxy_tensor.py", line 1479, in __torch_function__ 2025-09-07T09:02:57.3065713Z return func(*args, **kwargs) 2025-09-07T09:02:57.3066083Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/autograd_function.py", line 49, in __call__ 2025-09-07T09:02:57.3066468Z return super().__call__(autograd_function, *args, **kwargs) 2025-09-07T09:02:57.3066814Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 536, in __call__ 2025-09-07T09:02:57.3067103Z return wrapper() 2025-09-07T09:02:57.3067356Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 527, in wrapper 2025-09-07T09:02:57.3067669Z return torch.overrides.handle_torch_function( 2025-09-07T09:02:57.3068026Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/overrides.py", line 1728, in handle_torch_function 2025-09-07T09:02:57.3068408Z result = mode.__torch_function__(public_api, types, args, kwargs) 2025-09-07T09:02:57.3068810Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_export/non_strict_utils.py", line 1066, in __torch_function__ 2025-09-07T09:02:57.3069161Z return func(*args, **kwargs) 2025-09-07T09:02:57.3069491Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_functorch/autograd_function.py", line 49, in __call__ 2025-09-07T09:02:57.3069868Z return super().__call__(autograd_function, *args, **kwargs) 2025-09-07T09:02:57.3070192Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 536, in __call__ 2025-09-07T09:02:57.3070465Z return wrapper() 2025-09-07T09:02:57.3070724Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 532, in wrapper 2025-09-07T09:02:57.3071015Z return self.dispatch( 2025-09-07T09:02:57.3071295Z File "/opt/conda/envs/py_3.9/lib/python3.9/site-packages/torch/_ops.py", line 493, in dispatch 2025-09-07T09:02:57.3071613Z assert type(curr_mode) in self.python_key_table, ( 2025-09-07T09:02:57.3072042Z AssertionError: Current active mode not registered 2025-09-07T09:02:57.3072443Z warmup_failed 2025-09-07T09:02:58.7814304Z Run failed with return code: 255 2025-09-07T09:02:58.7814602Z Output: None 2025-09-07T09:02:58.7814760Z Error: None 2025-09-07T09:02:59.1189995Z /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. 2025-09-07T09:02:59.1191485Z import pynvml # type: ignore[import] 2025-09-07T09:03:00.8283073Z 2025-09-07T09:03:02.6628850Z loading model: 0it [00:00, ?it/s] 2025-09-07T09:03:02.6629495Z loading model: 0it [00:01, ?it/s] 2025-09-07T09:03:02.6629795Z cpu eval nvidia_deeprecommender 2025-09-07T09:03:18.2714650Z 2025-09-07T09:03:18.3961203Z running benchmark: 0% 0/30 [00:00> $GITHUB_ENV 2025-09-07T09:07:54.0583941Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV 2025-09-07T09:07:54.0592124Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:54.0592392Z env: 2025-09-07T09:07:54.0592570Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:54.0592892Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:54.0593296Z ##[endgroup] 2025-09-07T09:07:54.0617785Z + [[ -n '' ]] 2025-09-07T09:07:54.0618135Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0 2025-09-07T09:07:54.2242820Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:07:54.9301359Z Collecting boto3==1.35.33 2025-09-07T09:07:54.9433878Z Downloading boto3-1.35.33-py3-none-any.whl (139 kB) 2025-09-07T09:07:55.1449393Z Collecting psutil==7.0.0 2025-09-07T09:07:55.1472353Z 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) 2025-09-07T09:07:55.1667521Z Collecting pynvml==12.0.0 2025-09-07T09:07:55.1690349Z Downloading pynvml-12.0.0-py3-none-any.whl (26 kB) 2025-09-07T09:07:55.1747794Z 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) 2025-09-07T09:07:55.2007575Z Collecting s3transfer<0.11.0,>=0.10.0 2025-09-07T09:07:55.2033096Z Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB) 2025-09-07T09:07:55.9671537Z Collecting botocore<1.36.0,>=1.35.33 2025-09-07T09:07:55.9695433Z Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB) 2025-09-07T09:07:56.0808288Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 2025-09-07T09:07:56.0831215Z Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB) 2025-09-07T09:07:56.0900193Z 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) 2025-09-07T09:07:56.0904366Z 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) 2025-09-07T09:07:56.2552105Z 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) 2025-09-07T09:07:56.3439800Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3 2025-09-07T09:07:56.6568684Z Attempting uninstall: nvidia-ml-py 2025-09-07T09:07:56.6569068Z Found existing installation: nvidia-ml-py 11.525.84 2025-09-07T09:07:56.6576029Z Uninstalling nvidia-ml-py-11.525.84: 2025-09-07T09:07:56.6690337Z Successfully uninstalled nvidia-ml-py-11.525.84 2025-09-07T09:07:56.7096040Z Attempting uninstall: psutil 2025-09-07T09:07:56.7096361Z Found existing installation: psutil 5.9.8 2025-09-07T09:07:56.7136999Z Uninstalling psutil-5.9.8: 2025-09-07T09:07:56.7140844Z Successfully uninstalled psutil-5.9.8 2025-09-07T09:07:56.8297166Z 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 2025-09-07T09:07:56.9123896Z + DEVICE_NAME= 2025-09-07T09:07:56.9124166Z + DEVICE_TYPE= 2025-09-07T09:07:56.9124381Z + command -v nvidia-smi 2025-09-07T09:07:56.9124597Z + command -v rocminfo 2025-09-07T09:07:56.9125120Z + echo DEVICE_NAME= 2025-09-07T09:07:56.9125413Z + echo DEVICE_TYPE= 2025-09-07T09:07:56.9142984Z ##[group]Run set -eux 2025-09-07T09:07:56.9143177Z set -eux 2025-09-07T09:07:56.9143348Z  2025-09-07T09:07:56.9143510Z if [[ -z "${GITHUB_TOKEN}" ]]; then 2025-09-07T09:07:56.9143732Z  echo "Missing github-token input" 2025-09-07T09:07:56.9143925Z  exit 1 2025-09-07T09:07:56.9144070Z fi 2025-09-07T09:07:56.9148367Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:56.9148678Z env: 2025-09-07T09:07:56.9148835Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:56.9149121Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:56.9149417Z DEVICE_NAME: 2025-09-07T09:07:56.9149567Z DEVICE_TYPE: 2025-09-07T09:07:56.9149923Z GITHUB_TOKEN: *** 2025-09-07T09:07:56.9150084Z ##[endgroup] 2025-09-07T09:07:56.9169477Z + [[ -z *** ]] 2025-09-07T09:07:56.9196458Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main 2025-09-07T09:07:56.9196799Z with: 2025-09-07T09:07:56.9197084Z github-token: *** 2025-09-07T09:07:56.9197247Z env: 2025-09-07T09:07:56.9197406Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:56.9197685Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:56.9197978Z DEVICE_NAME: 2025-09-07T09:07:56.9198138Z DEVICE_TYPE: 2025-09-07T09:07:56.9198292Z ##[endgroup] 2025-09-07T09:07:56.9206971Z ##[group]Run set -eux 2025-09-07T09:07:56.9207164Z set -eux 2025-09-07T09:07:56.9207319Z  2025-09-07T09:07:56.9207606Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}" 2025-09-07T09:07:56.9211949Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:56.9212182Z env: 2025-09-07T09:07:56.9212334Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:56.9212612Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:56.9212973Z DEVICE_NAME: 2025-09-07T09:07:56.9213126Z DEVICE_TYPE: 2025-09-07T09:07:56.9213389Z GITHUB_TOKEN: *** 2025-09-07T09:07:56.9213646Z ##[endgroup] 2025-09-07T09:07:56.9231262Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17525285611 i-0f438be8fcb74e2fd 2025-09-07T09:07:57.5904620Z setting job-id=49775585826 2025-09-07T09:07:57.5905115Z setting job-name=inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T09:07:57.5978153Z ##[group]Run set -eux 2025-09-07T09:07:57.5978342Z set -eux 2025-09-07T09:07:57.5978495Z  2025-09-07T09:07:57.5978644Z if [[ -n "" ]]; then 2025-09-07T09:07:57.5978825Z  source "" 2025-09-07T09:07:57.5978974Z fi 2025-09-07T09:07:57.5979119Z  2025-09-07T09:07:57.5979362Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \ 2025-09-07T09:07:57.5979680Z  --schema-version "${SCHEMA_VERSION}" \ 2025-09-07T09:07:57.5979888Z  --repo "${REPO}" \ 2025-09-07T09:07:57.5980098Z  --head-branch "${HEAD_BRANCH}" \ 2025-09-07T09:07:57.5980305Z  --head-sha "${HEAD_SHA}" \ 2025-09-07T09:07:57.5980515Z  --workflow-id "${WORKFLOW_RUN_ID}" \ 2025-09-07T09:07:57.5980727Z  --run-attempt "${RUN_ATTEMPT}" \ 2025-09-07T09:07:57.5980928Z  --job-id "${JOB_ID}" \ 2025-09-07T09:07:57.5981120Z  --job-name "${JOB_NAME}" 2025-09-07T09:07:57.5984804Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:57.5985036Z env: 2025-09-07T09:07:57.5985187Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:57.5985474Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:57.5985761Z DEVICE_NAME: 2025-09-07T09:07:57.5985918Z DEVICE_TYPE: 2025-09-07T09:07:57.5986078Z SCHEMA_VERSION: v3 2025-09-07T09:07:57.5986246Z REPO: pytorch/pytorch 2025-09-07T09:07:57.5986415Z HEAD_BRANCH: refs/heads/main 2025-09-07T09:07:57.5986629Z HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634 2025-09-07T09:07:57.5986840Z WORKFLOW_RUN_ID: 17525285611 2025-09-07T09:07:57.5987008Z RUN_ATTEMPT: 1 2025-09-07T09:07:57.5987154Z JOB_ID: 49775585826 2025-09-07T09:07:57.5987476Z JOB_NAME: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T09:07:57.5987817Z ##[endgroup] 2025-09-07T09:07:57.6005460Z + [[ -n '' ]] 2025-09-07T09:07:57.6006757Z + 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 17525285611 --run-attempt 1 --job-id 49775585826 --job-name 'inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal)' 2025-09-07T09:07:57.6233670Z ##[group]Run set -eux 2025-09-07T09:07:57.6233859Z set -eux 2025-09-07T09:07:57.6234017Z  2025-09-07T09:07:57.6234176Z if [[ -n "" ]]; then 2025-09-07T09:07:57.6234355Z  source "" 2025-09-07T09:07:57.6234511Z fi 2025-09-07T09:07:57.6234647Z  2025-09-07T09:07:57.6234885Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py" 2025-09-07T09:07:57.6238414Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:57.6238645Z env: 2025-09-07T09:07:57.6238785Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:57.6239066Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:57.6239356Z DEVICE_NAME: 2025-09-07T09:07:57.6239514Z DEVICE_TYPE: 2025-09-07T09:07:57.6239658Z ##[endgroup] 2025-09-07T09:07:57.6254051Z + [[ -n '' ]] 2025-09-07T09:07:57.6254771Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py 2025-09-07T09:07:57.6532095Z INFO:root:Fail to import torch to get the device name 2025-09-07T09:07:57.6606837Z ##[group]Run set -eux 2025-09-07T09:07:57.6607017Z set -eux 2025-09-07T09:07:57.6607171Z  2025-09-07T09:07:57.6607335Z # TODO (huydhn): Implement this part 2025-09-07T09:07:57.6607573Z echo "dependencies={}" >> "${GITHUB_OUTPUT}" 2025-09-07T09:07:57.6610923Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:57.6611160Z env: 2025-09-07T09:07:57.6611305Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:57.6611584Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:57.6611885Z DEVICE_NAME: 2025-09-07T09:07:57.6612045Z DEVICE_TYPE: 2025-09-07T09:07:57.6612203Z ##[endgroup] 2025-09-07T09:07:57.6627573Z + echo 'dependencies={}' 2025-09-07T09:07:57.6639929Z ##[group]Run set -eux 2025-09-07T09:07:57.6640131Z set -eux 2025-09-07T09:07:57.6640278Z  2025-09-07T09:07:57.6640445Z if [[ -n "" ]]; then 2025-09-07T09:07:57.6640626Z  source "" 2025-09-07T09:07:57.6640779Z fi 2025-09-07T09:07:57.6640912Z  2025-09-07T09:07:57.6641088Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then 2025-09-07T09:07:57.6641357Z  echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping" 2025-09-07T09:07:57.6641650Z  # We don't want the job to fail if the directory doesn't exist 2025-09-07T09:07:57.6641876Z  exit 0 2025-09-07T09:07:57.6642042Z fi 2025-09-07T09:07:57.6642186Z  2025-09-07T09:07:57.6642348Z if [[ "${DRY_RUN}" == "true" ]]; then 2025-09-07T09:07:57.6642628Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T09:07:57.6642961Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T09:07:57.6643228Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T09:07:57.6643447Z  --runners "${RUNNER_INFO}" \ 2025-09-07T09:07:57.6643663Z  --dependencies "${DEPENDENCIES}" \ 2025-09-07T09:07:57.6643864Z  --dry-run 2025-09-07T09:07:57.6644027Z else 2025-09-07T09:07:57.6644259Z  python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \ 2025-09-07T09:07:57.6644573Z  --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \ 2025-09-07T09:07:57.6644815Z  --metadata "${BENCHMARK_METADATA}" \ 2025-09-07T09:07:57.6645029Z  --runners "${RUNNER_INFO}" \ 2025-09-07T09:07:57.6645235Z  --dependencies "${DEPENDENCIES}" 2025-09-07T09:07:57.6645428Z fi 2025-09-07T09:07:57.6649392Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:57.6649663Z env: 2025-09-07T09:07:57.6649826Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:57.6650217Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:57.6650638Z DEVICE_NAME: 2025-09-07T09:07:57.6650846Z DEVICE_TYPE: 2025-09-07T09:07:57.6651084Z BENCHMARK_RESULTS_DIR: test/test-reports 2025-09-07T09:07:57.6651375Z DRY_RUN: false 2025-09-07T09:07:57.6652209Z BENCHMARK_METADATA: {"timestamp": 1757236077, "schema_version": "v3", "name": "inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525285611, "run_attempt": 1, "job_id": 49775585826} 2025-09-07T09:07:57.6653183Z RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-41-215.ec2.internal"}, "name": "", "type": ""}] 2025-09-07T09:07:57.6653537Z DEPENDENCIES: {} 2025-09-07T09:07:57.6653700Z ##[endgroup] 2025-09-07T09:07:57.6670438Z + [[ -n '' ]] 2025-09-07T09:07:57.6670619Z + [[ ! -d test/test-reports ]] 2025-09-07T09:07:57.6670805Z + [[ false == \t\r\u\e ]] 2025-09-07T09:07:57.6672528Z + 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": 1757236077, "schema_version": "v3", "name": "inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17525285611, "run_attempt": 1, "job_id": 49775585826}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-41-215.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}' 2025-09-07T09:07:57.7644259Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_accuracy.json 2025-09-07T09:07:57.7856849Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role 2025-09-07T09:07:57.9237199Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_dynamic_torchbench_amp_inference_cpu_x86_accuracy.json 2025-09-07T09:07:58.0006748Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_accuracy.json 2025-09-07T09:07:58.0763334Z INFO:root:Upload test/test-reports/inductor_export_torchbench_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_export_torchbench_amp_inference_cpu_x86_accuracy.json 2025-09-07T09:07:58.1534447Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_accuracy.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_accuracy.json 2025-09-07T09:07:58.2379664Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance.json 2025-09-07T09:07:58.3177358Z INFO:root:Upload test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T09:07:58.4157007Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance.json 2025-09-07T09:07:58.5037634Z INFO:root:Upload test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T09:07:58.5961872Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance.json 2025-09-07T09:07:58.6840800Z INFO:root:Upload test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T09:07:58.7755305Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance.json 2025-09-07T09:07:58.8671925Z INFO:root:Upload test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/17525285611/49775585826/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json 2025-09-07T09:07:59.0054198Z ##[group]Run cat test/**/*_toprint.log || true 2025-09-07T09:07:59.0054453Z cat test/**/*_toprint.log || true 2025-09-07T09:07:59.0058357Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:59.0058593Z env: 2025-09-07T09:07:59.0058746Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:59.0059038Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:59.0059330Z DEVICE_NAME: 2025-09-07T09:07:59.0059481Z DEVICE_TYPE: 2025-09-07T09:07:59.0059631Z ##[endgroup] 2025-09-07T09:07:59.0121835Z cat: 'test/**/*_toprint.log': No such file or directory 2025-09-07T09:07:59.0137450Z ##[group]Run kill "$MONITOR_SCRIPT_PID" 2025-09-07T09:07:59.0137687Z kill "$MONITOR_SCRIPT_PID" 2025-09-07T09:07:59.0141249Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:59.0141484Z env: 2025-09-07T09:07:59.0141631Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:59.0141910Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:59.0142203Z DEVICE_NAME: 2025-09-07T09:07:59.0142355Z DEVICE_TYPE: 2025-09-07T09:07:59.0142515Z MONITOR_SCRIPT_PID: 57372 2025-09-07T09:07:59.0142685Z ##[endgroup] 2025-09-07T09:07:59.0221824Z Prepare all required actions 2025-09-07T09:07:59.0222138Z Getting action download info 2025-09-07T09:07:59.2486025Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a) 2025-09-07T09:07:59.4308372Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02) 2025-09-07T09:07:59.7189714Z ##[group]Run ./.github/actions/upload-test-artifacts 2025-09-07T09:07:59.7189941Z with: 2025-09-07T09:07:59.7190207Z file-suffix: test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826 2025-09-07T09:07:59.7190503Z s3-bucket: gha-artifacts 2025-09-07T09:07:59.7190674Z env: 2025-09-07T09:07:59.7190824Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:59.7191099Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:59.7191385Z DEVICE_NAME: 2025-09-07T09:07:59.7191541Z DEVICE_TYPE: 2025-09-07T09:07:59.7191690Z ##[endgroup] 2025-09-07T09:07:59.7206745Z ##[group]Run # Remove any previous test jsons if they exist 2025-09-07T09:07:59.7207082Z # Remove any previous test jsons if they exist 2025-09-07T09:07:59.7207318Z rm -f test-jsons-*.zip 2025-09-07T09:07:59.7207591Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json' 2025-09-07T09:07:59.7211027Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:59.7211259Z env: 2025-09-07T09:07:59.7211404Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:59.7211683Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:59.7241755Z DEVICE_NAME: 2025-09-07T09:07:59.7241998Z DEVICE_TYPE: 2025-09-07T09:07:59.7242284Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826 2025-09-07T09:07:59.7242604Z ##[endgroup] 2025-09-07T09:07:59.7420368Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T09:07:59.7443793Z adding: test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T09:07:59.7471102Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T09:07:59.7496557Z adding: test/test-reports/inductor_export_torchbench_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T09:07:59.7519658Z adding: test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_accuracy.json (deflated 99%) 2025-09-07T09:07:59.7559032Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T09:07:59.7640750Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:07:59.7679136Z adding: test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T09:07:59.7761483Z adding: test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:07:59.7799624Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T09:07:59.7881190Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:07:59.7911562Z adding: test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance.json (deflated 99%) 2025-09-07T09:07:59.7955882Z adding: test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.json (deflated 99%) 2025-09-07T09:07:59.7974244Z ##[group]Run # Remove any previous test reports if they exist 2025-09-07T09:07:59.7974543Z # Remove any previous test reports if they exist 2025-09-07T09:07:59.7974784Z rm -f test-reports-*.zip 2025-09-07T09:07:59.7975167Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv' 2025-09-07T09:07:59.7978650Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:59.7978875Z env: 2025-09-07T09:07:59.7979028Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:59.7979315Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:59.7979607Z DEVICE_NAME: 2025-09-07T09:07:59.7979759Z DEVICE_TYPE: 2025-09-07T09:07:59.7980023Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826 2025-09-07T09:07:59.7980311Z ##[endgroup] 2025-09-07T09:07:59.8019347Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_accuracy.csv (deflated 57%) 2025-09-07T09:07:59.8019844Z adding: test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_accuracy.csv (deflated 57%) 2025-09-07T09:07:59.8020323Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_accuracy.csv (deflated 57%) 2025-09-07T09:07:59.8020779Z adding: test/test-reports/inductor_export_torchbench_amp_inference_cpu_x86_accuracy.csv (deflated 59%) 2025-09-07T09:07:59.8021300Z adding: test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_accuracy.csv (deflated 68%) 2025-09-07T09:07:59.8021783Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance.csv (deflated 49%) 2025-09-07T09:07:59.8024017Z adding: test/test-reports/inductor_no_cudagraphs_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 52%) 2025-09-07T09:07:59.8024598Z adding: test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance.csv (deflated 49%) 2025-09-07T09:07:59.8026962Z adding: test/test-reports/inductor_dynamic_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 53%) 2025-09-07T09:07:59.8027522Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance.csv (deflated 49%) 2025-09-07T09:07:59.8029875Z adding: test/test-reports/inductor_cpp_wrapper_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 53%) 2025-09-07T09:07:59.8030455Z adding: test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance.csv (deflated 53%) 2025-09-07T09:07:59.8031718Z adding: test/test-reports/inductor_aot_inductor_torchbench_amp_inference_cpu_x86_performance_compilation_metrics.csv (deflated 49%) 2025-09-07T09:07:59.8045628Z ##[group]Run # Remove any previous usage logs if they exist 2025-09-07T09:07:59.8045914Z # Remove any previous usage logs if they exist 2025-09-07T09:07:59.8046142Z rm -f logs-*.zip 2025-09-07T09:07:59.8046365Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true 2025-09-07T09:07:59.8046663Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true 2025-09-07T09:07:59.8050495Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:59.8050757Z env: 2025-09-07T09:07:59.8050904Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:59.8051204Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:59.8051502Z DEVICE_NAME: 2025-09-07T09:07:59.8051658Z DEVICE_TYPE: 2025-09-07T09:07:59.8051923Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826 2025-09-07T09:07:59.8052221Z ##[endgroup] 2025-09-07T09:07:59.8113101Z adding: usage_log.txt (deflated 96%) 2025-09-07T09:07:59.8122307Z 2025-09-07T09:07:59.8122542Z zip error: Nothing to do! (logs-test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826.zip) 2025-09-07T09:07:59.8138662Z ##[group]Run # Remove any previous debugging artifacts if they exist 2025-09-07T09:07:59.8138992Z # Remove any previous debugging artifacts if they exist 2025-09-07T09:07:59.8139238Z rm -f debug-*.zip 2025-09-07T09:07:59.8139437Z if [ -d 'test/debug' ]; then 2025-09-07T09:07:59.8139757Z  zip -r "debug-${FILE_SUFFIX}.zip" test/debug 2025-09-07T09:07:59.8139978Z fi 2025-09-07T09:07:59.8145774Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:07:59.8146009Z env: 2025-09-07T09:07:59.8146164Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:59.8146453Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:59.8146756Z DEVICE_NAME: 2025-09-07T09:07:59.8146904Z DEVICE_TYPE: 2025-09-07T09:07:59.8147171Z FILE_SUFFIX: test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826 2025-09-07T09:07:59.8147467Z ##[endgroup] 2025-09-07T09:07:59.8197272Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:07:59.8197483Z with: 2025-09-07T09:07:59.8197644Z s3-bucket: gha-artifacts 2025-09-07T09:07:59.8197858Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:07:59.8198078Z retention-days: 14 2025-09-07T09:07:59.8198238Z if-no-files-found: warn 2025-09-07T09:07:59.8198433Z path: test-jsons-*.zip 2025-09-07T09:07:59.8198646Z name: artifact 2025-09-07T09:07:59.8198801Z region: us-east-1 2025-09-07T09:07:59.8198946Z env: 2025-09-07T09:07:59.8199095Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:07:59.8199369Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:07:59.8199653Z DEVICE_NAME: 2025-09-07T09:07:59.8199797Z DEVICE_TYPE: 2025-09-07T09:07:59.8199945Z ##[endgroup] 2025-09-07T09:08:00.0625156Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:08:00.0625470Z With the provided path, there will be 1 file uploaded 2025-09-07T09:08:00.0625741Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:08:00.0655309Z Starting upload of test-jsons-test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826.zip 2025-09-07T09:08:00.1650173Z Finished upload of test-jsons-test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826.zip 2025-09-07T09:08:00.1787397Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:08:00.1787619Z with: 2025-09-07T09:08:00.1787854Z s3-bucket: gha-artifacts 2025-09-07T09:08:00.1788064Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:08:00.1788277Z retention-days: 14 2025-09-07T09:08:00.1788437Z if-no-files-found: error 2025-09-07T09:08:00.1788618Z path: test-reports-*.zip 2025-09-07T09:08:00.1788787Z name: artifact 2025-09-07T09:08:00.1788942Z region: us-east-1 2025-09-07T09:08:00.1789088Z env: 2025-09-07T09:08:00.1789233Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:08:00.1789512Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:08:00.1789801Z DEVICE_NAME: 2025-09-07T09:08:00.1789944Z DEVICE_TYPE: 2025-09-07T09:08:00.1790091Z ##[endgroup] 2025-09-07T09:08:00.4060162Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:08:00.4060471Z With the provided path, there will be 1 file uploaded 2025-09-07T09:08:00.4060778Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:08:00.4089144Z Starting upload of test-reports-test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826.zip 2025-09-07T09:08:00.5264551Z Finished upload of test-reports-test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826.zip 2025-09-07T09:08:00.5393677Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:08:00.5393894Z with: 2025-09-07T09:08:00.5394062Z s3-bucket: gha-artifacts 2025-09-07T09:08:00.5394277Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:08:00.5394496Z retention-days: 14 2025-09-07T09:08:00.5394655Z if-no-files-found: ignore 2025-09-07T09:08:00.5394842Z path: logs-*.zip 2025-09-07T09:08:00.5395004Z name: artifact 2025-09-07T09:08:00.5395157Z region: us-east-1 2025-09-07T09:08:00.5395301Z env: 2025-09-07T09:08:00.5395444Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:08:00.5397159Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:08:00.5397459Z DEVICE_NAME: 2025-09-07T09:08:00.5397609Z DEVICE_TYPE: 2025-09-07T09:08:00.5397758Z ##[endgroup] 2025-09-07T09:08:00.7606960Z NOTE: s3-prefix specified, ignoring name parameter 2025-09-07T09:08:00.7607280Z With the provided path, there will be 1 file uploaded 2025-09-07T09:08:00.7607561Z Uploading to s3 prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:08:00.7636172Z Starting upload of logs-test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826.zip 2025-09-07T09:08:00.8857318Z Finished upload of logs-test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826.zip 2025-09-07T09:08:00.8985505Z ##[group]Run seemethere/upload-artifact-s3@v5 2025-09-07T09:08:00.8985722Z with: 2025-09-07T09:08:00.8985882Z s3-bucket: gha-artifacts 2025-09-07T09:08:00.8986080Z s3-prefix: pytorch/pytorch/17525285611/1/artifact 2025-09-07T09:08:00.8986295Z retention-days: 14 2025-09-07T09:08:00.8986482Z if-no-files-found: ignore 2025-09-07T09:08:00.8986655Z path: debug-*.zip 2025-09-07T09:08:00.8986881Z name: artifact 2025-09-07T09:08:00.8987047Z region: us-east-1 2025-09-07T09:08:00.8987198Z env: 2025-09-07T09:08:00.8987348Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:08:00.8987617Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:08:00.8987907Z DEVICE_NAME: 2025-09-07T09:08:00.8988063Z DEVICE_TYPE: 2025-09-07T09:08:00.8988215Z ##[endgroup] 2025-09-07T09:08:01.1180046Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded. 2025-09-07T09:08:01.1319686Z ##[group]Run # shellcheck disable=SC2156 2025-09-07T09:08:01.1319936Z # shellcheck disable=SC2156 2025-09-07T09:08:01.1320280Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \; 2025-09-07T09:08:01.1324894Z shell: /usr/bin/bash -e {0} 2025-09-07T09:08:01.1325082Z env: 2025-09-07T09:08:01.1325243Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:08:01.1325527Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:08:01.1325898Z DEVICE_NAME: 2025-09-07T09:08:01.1326050Z DEVICE_TYPE: 2025-09-07T09:08:01.1326203Z ##[endgroup] 2025-09-07T09:08:01.2926885Z Prepare all required actions 2025-09-07T09:08:01.2927181Z Getting action download info 2025-09-07T09:08:01.4297424Z ##[group]Run ./.github/actions/upload-utilization-stats 2025-09-07T09:08:01.4297657Z with: 2025-09-07T09:08:01.4297807Z job_id: 49775585826 2025-09-07T09:08:01.4298133Z job_name: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T09:08:01.4298502Z workflow_name: inductor-perf-nightly-x86 2025-09-07T09:08:01.4298706Z workflow_run_id: 17525285611 2025-09-07T09:08:01.4298887Z workflow_attempt: 1 2025-09-07T09:08:01.4299045Z env: 2025-09-07T09:08:01.4299188Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:08:01.4299461Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:08:01.4299762Z DEVICE_NAME: 2025-09-07T09:08:01.4299923Z DEVICE_TYPE: 2025-09-07T09:08:01.4300072Z ##[endgroup] 2025-09-07T09:08:01.4310425Z ##[group]Run echo "workflow_id: 17525285611" 2025-09-07T09:08:01.4310658Z echo "workflow_id: 17525285611" 2025-09-07T09:08:01.4310870Z echo "workflow_attempt: 1" 2025-09-07T09:08:01.4311102Z echo "workflow_Name: inductor-perf-nightly-x86" 2025-09-07T09:08:01.4311337Z echo "job_id: 49775585826" 2025-09-07T09:08:01.4311703Z echo "job_name: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal)" 2025-09-07T09:08:01.4312077Z echo "artifact_prefix: " 2025-09-07T09:08:01.4312275Z python3 --version 2025-09-07T09:08:01.4316091Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:08:01.4316326Z env: 2025-09-07T09:08:01.4316471Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:08:01.4316745Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:08:01.4317046Z DEVICE_NAME: 2025-09-07T09:08:01.4317202Z DEVICE_TYPE: 2025-09-07T09:08:01.4317344Z ##[endgroup] 2025-09-07T09:08:01.4334288Z workflow_id: 17525285611 2025-09-07T09:08:01.4334522Z workflow_attempt: 1 2025-09-07T09:08:01.4334733Z workflow_Name: inductor-perf-nightly-x86 2025-09-07T09:08:01.4334951Z job_id: 49775585826 2025-09-07T09:08:01.4335284Z job_name: inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal) 2025-09-07T09:08:01.4335633Z artifact_prefix: 2025-09-07T09:08:01.4344981Z Python 3.9.23 2025-09-07T09:08:01.4368245Z ##[group]Run nick-fields/retry@v3.0.0 2025-09-07T09:08:01.4368452Z with: 2025-09-07T09:08:01.4368592Z shell: bash 2025-09-07T09:08:01.4368748Z timeout_minutes: 5 2025-09-07T09:08:01.4368915Z max_attempts: 5 2025-09-07T09:08:01.4369075Z retry_wait_seconds: 30 2025-09-07T09:08:01.4369397Z 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 2025-09-07T09:08:01.4369798Z polling_interval_seconds: 1 2025-09-07T09:08:01.4369980Z warning_on_retry: true 2025-09-07T09:08:01.4370160Z continue_on_error: false 2025-09-07T09:08:01.4370323Z env: 2025-09-07T09:08:01.4370469Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:08:01.4370749Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:08:01.4371038Z DEVICE_NAME: 2025-09-07T09:08:01.4371195Z DEVICE_TYPE: 2025-09-07T09:08:01.4371340Z ##[endgroup] 2025-09-07T09:08:01.6675950Z Defaulting to user installation because normal site-packages is not writeable 2025-09-07T09:08:01.7367510Z Collecting python-dateutil==2.8.2 2025-09-07T09:08:01.7628445Z Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB) 2025-09-07T09:08:02.4143255Z Collecting boto3==1.35.42 2025-09-07T09:08:02.4220126Z Downloading boto3-1.35.42-py3-none-any.whl (139 kB) 2025-09-07T09:08:02.7768628Z Collecting pandas==2.1.3 2025-09-07T09:08:02.7839976Z Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB) 2025-09-07T09:08:02.8750645Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7) 2025-09-07T09:08:02.8757777Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0) 2025-09-07T09:08:02.8787867Z 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) 2025-09-07T09:08:02.8791542Z 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) 2025-09-07T09:08:02.8793934Z 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) 2025-09-07T09:08:02.9456512Z Collecting tzdata>=2022.1 2025-09-07T09:08:02.9529777Z Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB) 2025-09-07T09:08:03.4952742Z Collecting numpy<2,>=1.22.4 2025-09-07T09:08:03.5026793Z Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB) 2025-09-07T09:08:03.6152288Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1) 2025-09-07T09:08:03.6182220Z 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) 2025-09-07T09:08:03.6184861Z 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) 2025-09-07T09:08:03.6223296Z 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) 2025-09-07T09:08:03.6312345Z 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) 2025-09-07T09:08:03.6380738Z 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) 2025-09-07T09:08:03.6383448Z 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) 2025-09-07T09:08:03.7715085Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3 2025-09-07T09:08:07.2381103Z Attempting uninstall: boto3 2025-09-07T09:08:07.2381409Z Found existing installation: boto3 1.35.33 2025-09-07T09:08:07.2439786Z Uninstalling boto3-1.35.33: 2025-09-07T09:08:07.2447677Z Successfully uninstalled boto3-1.35.33 2025-09-07T09:08:07.2810912Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2 2025-09-07T09:08:07.4953217Z Command completed after 1 attempt(s). 2025-09-07T09:08:07.4993764Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T09:08:07.4994203Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \ 2025-09-07T09:08:07.4994498Z  --workflow-run-id "17525285611" \ 2025-09-07T09:08:07.4994749Z  --workflow-name "inductor-perf-nightly-x86" \ 2025-09-07T09:08:07.4994994Z  --workflow-run-attempt "1" \ 2025-09-07T09:08:07.4995199Z  --job-id "49775585826" \ 2025-09-07T09:08:07.4995564Z  --job-name "inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal)" \ 2025-09-07T09:08:07.4995922Z  --local-path "" \ 2025-09-07T09:08:07.4996113Z  --artifact-prefix "" 2025-09-07T09:08:07.5001080Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:08:07.5001315Z env: 2025-09-07T09:08:07.5001462Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:08:07.5001745Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:08:07.5002121Z DEVICE_NAME: 2025-09-07T09:08:07.5002277Z DEVICE_TYPE: 2025-09-07T09:08:07.5002530Z ##[endgroup] 2025-09-07T09:08:08.2839577Z repo: pytorch/pytorch 2025-09-07T09:08:08.2839841Z Search for test log in s3 bucket: ossci-utilization 2025-09-07T09:08:08.2840312Z Downloading logs-test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826.zip 2025-09-07T09:08:08.2840846Z extracting usage_log.txt from zip file logs-test-inductor_torchbench_perf_cpu_x86-3-4-linux.24xl.spr-metal_49775585826.zip 2025-09-07T09:08:08.2841237Z Converted Log Model: UtilizationMetadata: 2025-09-07T09:08:08.2842110Z UtilizationMetadata(level='metadata', workflow_id='17525285611', job_id='49775585826', workflow_name='inductor-perf-nightly-x86', job_name='inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal)', usage_collect_interval=4.0, data_model_version=1.5, start_at=1757231177, gpu_count=0, cpu_count=96, gpu_type=None, error=None) 2025-09-07T09:08:08.2843007Z [Db Segments] detected pytest cmd: 13, generated segments: 13 2025-09-07T09:08:08.2843267Z [db model] Peek db timeseries 2025-09-07T09:08:08.2843448Z :{ 2025-09-07T09:08:08.2843592Z "created_at": 1757236088, 2025-09-07T09:08:08.2843764Z "type": "utilization", 2025-09-07T09:08:08.2843934Z "tags": [ 2025-09-07T09:08:08.2844085Z "record" 2025-09-07T09:08:08.2844238Z ], 2025-09-07T09:08:08.2844376Z "time_stamp": 1757231177, 2025-09-07T09:08:08.2844554Z "repo": "pytorch/pytorch", 2025-09-07T09:08:08.2844731Z "workflow_id": 17525285611, 2025-09-07T09:08:08.2844908Z "run_attempt": 1, 2025-09-07T09:08:08.2845063Z "job_id": 49775585826, 2025-09-07T09:08:08.2845265Z "workflow_name": "inductor-perf-nightly-x86", 2025-09-07T09:08:08.2845644Z "job_name": "inductor-test-nightly-freezing / test (inductor_torchbench_perf_cpu_x86, 3, 4, linux.24xl.spr-metal)", 2025-09-07T09:08:08.2845985Z "json_data": "{}" 2025-09-07T09:08:08.2846133Z } 2025-09-07T09:08:08.2846432Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525285611/1/49775585826/metadata 2025-09-07T09:08:08.2846930Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17525285611/1/49775585826/metadata 2025-09-07T09:08:08.2847436Z Writing 323 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525285611/1/49775585826/time_series 2025-09-07T09:08:08.2847949Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17525285611/1/49775585826/time_series 2025-09-07T09:08:08.3604861Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main 2025-09-07T09:08:08.3605224Z with: 2025-09-07T09:08:08.3605424Z env: 2025-09-07T09:08:08.3605618Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:08:08.3606015Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:08:08.3606485Z DEVICE_NAME: 2025-09-07T09:08:08.3606695Z DEVICE_TYPE: 2025-09-07T09:08:08.3606890Z ##[endgroup] 2025-09-07T09:08:08.3620012Z ##[group]Run set -eou pipefail 2025-09-07T09:08:08.3620357Z set -eou pipefail 2025-09-07T09:08:08.3620597Z  2025-09-07T09:08:08.3620913Z echo "Holding runner for 2 hours until all ssh sessions have logged out" 2025-09-07T09:08:08.3621284Z for _ in $(seq 1440); do 2025-09-07T09:08:08.3621575Z  # Break if no ssh session exists anymore 2025-09-07T09:08:08.3621867Z  if [ "$(who)" = "" ]; then 2025-09-07T09:08:08.3622124Z  break 2025-09-07T09:08:08.3622374Z  fi 2025-09-07T09:08:08.3622582Z  echo "." 2025-09-07T09:08:08.3622789Z  sleep 5 2025-09-07T09:08:08.3622996Z done 2025-09-07T09:08:08.3628282Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:08:08.3628625Z env: 2025-09-07T09:08:08.3628826Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:08:08.3629285Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:08:08.3629699Z DEVICE_NAME: 2025-09-07T09:08:08.3629903Z DEVICE_TYPE: 2025-09-07T09:08:08.3630104Z ##[endgroup] 2025-09-07T09:08:08.3649174Z Holding runner for 2 hours until all ssh sessions have logged out 2025-09-07T09:08:08.3716035Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T09:08:08.3716381Z # ignore expansion of "docker ps -q" since it could be empty 2025-09-07T09:08:08.3716635Z # shellcheck disable=SC2046 2025-09-07T09:08:08.3716872Z docker stop $(docker ps -q) || true 2025-09-07T09:08:08.3717084Z # Prune all of the docker images 2025-09-07T09:08:08.3717294Z docker system prune -af 2025-09-07T09:08:08.3721366Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:08:08.3721597Z env: 2025-09-07T09:08:08.3721741Z GIT_DEFAULT_BRANCH: main 2025-09-07T09:08:08.3722027Z DOCKER_CONTAINER_ID: 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:08:08.3722328Z DEVICE_NAME: 2025-09-07T09:08:08.3722483Z DEVICE_TYPE: 2025-09-07T09:08:08.3722624Z ##[endgroup] 2025-09-07T09:08:19.3059366Z 6b6865ae7987 2025-09-07T09:08:19.6883682Z Deleted Containers: 2025-09-07T09:08:19.6883981Z 6b6865ae798764ce406797b6087e80eae3fb2f8c94ca28f8a8463781b8e3acba 2025-09-07T09:08:19.6884180Z 2025-09-07T09:08:25.9616782Z Deleted Images: 2025-09-07T09:08:25.9617430Z 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' 2025-09-07T09:08:26.4311610Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader 2025-09-07T09:08:26.4327550Z http.https://github.com/.extraheader 2025-09-07T09:08:26.4334355Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader 2025-09-07T09:08:26.4356454Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :" 2025-09-07T09:08:26.4600670Z Entering 'android/libs/fbjni' 2025-09-07T09:08:26.4627546Z http.https://github.com/.extraheader 2025-09-07T09:08:26.4655105Z Entering 'third_party/FP16' 2025-09-07T09:08:26.4684062Z http.https://github.com/.extraheader 2025-09-07T09:08:26.4712002Z Entering 'third_party/FXdiv' 2025-09-07T09:08:26.4742931Z http.https://github.com/.extraheader 2025-09-07T09:08:26.4770585Z Entering 'third_party/NNPACK' 2025-09-07T09:08:26.4800812Z http.https://github.com/.extraheader 2025-09-07T09:08:26.4826947Z Entering 'third_party/NVTX' 2025-09-07T09:08:26.4855909Z http.https://github.com/.extraheader 2025-09-07T09:08:26.4883138Z Entering 'third_party/VulkanMemoryAllocator' 2025-09-07T09:08:26.4912947Z http.https://github.com/.extraheader 2025-09-07T09:08:26.4940158Z Entering 'third_party/XNNPACK' 2025-09-07T09:08:26.4972979Z http.https://github.com/.extraheader 2025-09-07T09:08:26.5011607Z Entering 'third_party/aiter' 2025-09-07T09:08:26.5044364Z http.https://github.com/.extraheader 2025-09-07T09:08:26.5070547Z Entering 'third_party/aiter/3rdparty/composable_kernel' 2025-09-07T09:08:26.5099369Z http.https://github.com/.extraheader 2025-09-07T09:08:26.5129271Z Entering 'third_party/benchmark' 2025-09-07T09:08:26.5158727Z http.https://github.com/.extraheader 2025-09-07T09:08:26.5185880Z Entering 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http.https://github.com/.extraheader 2025-09-07T09:08:26.5668317Z Entering 'third_party/fbgemm/external/cpuinfo' 2025-09-07T09:08:26.5694822Z http.https://github.com/.extraheader 2025-09-07T09:08:26.5720296Z Entering 'third_party/fbgemm/external/cutlass' 2025-09-07T09:08:26.5750886Z http.https://github.com/.extraheader 2025-09-07T09:08:26.5784510Z Entering 'third_party/fbgemm/external/googletest' 2025-09-07T09:08:26.5814414Z http.https://github.com/.extraheader 2025-09-07T09:08:26.5840669Z Entering 'third_party/fbgemm/external/hipify_torch' 2025-09-07T09:08:26.5871529Z http.https://github.com/.extraheader 2025-09-07T09:08:26.5898208Z Entering 'third_party/fbgemm/external/json' 2025-09-07T09:08:26.5926069Z http.https://github.com/.extraheader 2025-09-07T09:08:26.5957867Z Entering 'third_party/flash-attention' 2025-09-07T09:08:26.5988676Z http.https://github.com/.extraheader 2025-09-07T09:08:26.6016682Z Entering 'third_party/flash-attention/csrc/composable_kernel' 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2025-09-07T09:08:26.6481002Z Entering 'third_party/ideep/mkl-dnn' 2025-09-07T09:08:26.6510457Z http.https://github.com/.extraheader 2025-09-07T09:08:26.6543828Z Entering 'third_party/ittapi' 2025-09-07T09:08:26.6573926Z http.https://github.com/.extraheader 2025-09-07T09:08:26.6604516Z Entering 'third_party/kineto' 2025-09-07T09:08:26.6633559Z http.https://github.com/.extraheader 2025-09-07T09:08:26.6659464Z Entering 'third_party/kineto/libkineto/third_party/dynolog' 2025-09-07T09:08:26.6689673Z http.https://github.com/.extraheader 2025-09-07T09:08:26.6715386Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM' 2025-09-07T09:08:26.6746245Z http.https://github.com/.extraheader 2025-09-07T09:08:26.6773198Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr' 2025-09-07T09:08:26.6802800Z http.https://github.com/.extraheader 2025-09-07T09:08:26.6829079Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt' 2025-09-07T09:08:26.6858854Z http.https://github.com/.extraheader 2025-09-07T09:08:26.6885285Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags' 2025-09-07T09:08:26.6914918Z http.https://github.com/.extraheader 2025-09-07T09:08:26.6940122Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc' 2025-09-07T09:08:26.6968379Z http.https://github.com/.extraheader 2025-09-07T09:08:26.6993800Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog' 2025-09-07T09:08:26.7024211Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7053158Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest' 2025-09-07T09:08:26.7082035Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7108354Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json' 2025-09-07T09:08:26.7138627Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7165025Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs' 2025-09-07T09:08:26.7194574Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7221137Z Entering 'third_party/kineto/libkineto/third_party/fmt' 2025-09-07T09:08:26.7251906Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7278354Z Entering 'third_party/kineto/libkineto/third_party/googletest' 2025-09-07T09:08:26.7309737Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7338615Z Entering 'third_party/kleidiai' 2025-09-07T09:08:26.7367932Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7393580Z Entering 'third_party/mimalloc' 2025-09-07T09:08:26.7422288Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7447456Z Entering 'third_party/nlohmann' 2025-09-07T09:08:26.7477424Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7507679Z Entering 'third_party/onnx' 2025-09-07T09:08:26.7536997Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7577394Z Entering 'third_party/onnx/third_party/pybind11' 2025-09-07T09:08:26.7605998Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7633692Z Entering 'third_party/opentelemetry-cpp' 2025-09-07T09:08:26.7664533Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7690162Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark' 2025-09-07T09:08:26.7719524Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7744648Z Entering 'third_party/opentelemetry-cpp/third_party/googletest' 2025-09-07T09:08:26.7773638Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7802336Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl' 2025-09-07T09:08:26.7829767Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7857028Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json' 2025-09-07T09:08:26.7887281Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7912320Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto' 2025-09-07T09:08:26.7942925Z http.https://github.com/.extraheader 2025-09-07T09:08:26.7967591Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp' 2025-09-07T09:08:26.7995768Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8019348Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp' 2025-09-07T09:08:26.8051706Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8076995Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb' 2025-09-07T09:08:26.8107102Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8136186Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest' 2025-09-07T09:08:26.8165873Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8193144Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg' 2025-09-07T09:08:26.8222892Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8263321Z Entering 'third_party/pocketfft' 2025-09-07T09:08:26.8292795Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8319442Z Entering 'third_party/protobuf' 2025-09-07T09:08:26.8352284Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8381371Z Entering 'third_party/protobuf/third_party/benchmark' 2025-09-07T09:08:26.8410492Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8435180Z Entering 'third_party/protobuf/third_party/googletest' 2025-09-07T09:08:26.8463413Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8493225Z Entering 'third_party/psimd' 2025-09-07T09:08:26.8524102Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8550743Z Entering 'third_party/pthreadpool' 2025-09-07T09:08:26.8579339Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8602709Z Entering 'third_party/pybind11' 2025-09-07T09:08:26.8634421Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8661470Z Entering 'third_party/python-peachpy' 2025-09-07T09:08:26.8689830Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8715273Z Entering 'third_party/sleef' 2025-09-07T09:08:26.8746346Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8770735Z Entering 'third_party/tensorpipe' 2025-09-07T09:08:26.8800449Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8826502Z Entering 'third_party/tensorpipe/third_party/googletest' 2025-09-07T09:08:26.8856568Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8881634Z Entering 'third_party/tensorpipe/third_party/libnop' 2025-09-07T09:08:26.8910403Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8937701Z Entering 'third_party/tensorpipe/third_party/libuv' 2025-09-07T09:08:26.8967907Z http.https://github.com/.extraheader 2025-09-07T09:08:26.8993898Z Entering 'third_party/tensorpipe/third_party/pybind11' 2025-09-07T09:08:26.9021618Z http.https://github.com/.extraheader 2025-09-07T09:08:26.9048064Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang' 2025-09-07T09:08:26.9078185Z http.https://github.com/.extraheader 2025-09-07T09:08:26.9173671Z A job completed hook has been configured by the self-hosted runner administrator 2025-09-07T09:08:26.9185206Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh' 2025-09-07T09:08:26.9188527Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0} 2025-09-07T09:08:26.9188768Z ##[endgroup] 2025-09-07T09:08:26.9255801Z [!ALERT!] Swap in detected! [!ALERT!] 2025-09-07T09:08:34.2030603Z [!ALERT!] Swap out detected [!ALERT!] 2025-09-07T09:08:46.3962941Z Cleaning up orphan processes