2025-10-10T00:33:09.9403939Z Current runner version: '2.328.0'
2025-10-10T00:33:09.9408246Z Runner name: 'i-0f16135f606f191c1'
2025-10-10T00:33:09.9408841Z Runner group name: 'default'
2025-10-10T00:33:09.9409485Z Machine name: 'ip-10-0-43-101'
2025-10-10T00:33:09.9411463Z ##[group]GITHUB_TOKEN Permissions
2025-10-10T00:33:09.9413303Z Contents: read
2025-10-10T00:33:09.9413801Z Metadata: read
2025-10-10T00:33:09.9414214Z ##[endgroup]
2025-10-10T00:33:09.9415849Z Secret source: Actions
2025-10-10T00:33:09.9416313Z Prepare workflow directory
2025-10-10T00:33:09.9757375Z Prepare all required actions
2025-10-10T00:33:09.9786517Z Getting action download info
2025-10-10T00:33:10.2237906Z Download action repository 'pytorch/test-infra@main' (SHA:264eed5d70b428e3aa5c1a7c98e4330f866e183f)
2025-10-10T00:33:11.6021286Z Download action repository 'pytorch/pytorch@main' (SHA:a6fa4f9c283971c0fb6f60a89674a1f35370ac79)
2025-10-10T00:33:24.3453713Z Download action repository 'actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065' (SHA:a26af69be951a213d495a4c3e4e4022e16d87065)
2025-10-10T00:33:24.6135194Z Download action repository 'aws-actions/configure-aws-credentials@ececac1a45f3b08a01d2dd070d28d111c5fe6722' (SHA:ececac1a45f3b08a01d2dd070d28d111c5fe6722)
2025-10-10T00:33:24.7930229Z Download action repository 'aws-actions/amazon-ecr-login@062b18b96a7aff071d4dc91bc00c4c1a7945b076' (SHA:062b18b96a7aff071d4dc91bc00c4c1a7945b076)
2025-10-10T00:33:25.0699303Z Download action repository 'seemethere/upload-artifact-s3@baba72d0712b404f646cebe0730933554ebce96a' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-10-10T00:33:25.3041927Z Getting action download info
2025-10-10T00:33:25.4379025Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-10-10T00:33:25.6412736Z Getting action download info
2025-10-10T00:33:25.7408572Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-10-10T00:33:25.8938019Z Getting action download info
2025-10-10T00:33:26.0097371Z Download action repository 'nick-fields/retry@3e91a01664abd3c5cd539100d10d33b9c5b68482' (SHA:3e91a01664abd3c5cd539100d10d33b9c5b68482)
2025-10-10T00:33:26.1595057Z Getting action download info
2025-10-10T00:33:26.3582561Z Uses: pytorch/pytorch/.github/workflows/_linux-test.yml@refs/heads/main (344e6365a0068c2d2847fcec0c55dd53291d475e)
2025-10-10T00:33:26.3585577Z ##[group] Inputs
2025-10-10T00:33:26.3585942Z   build-environment: linux-jammy-py3.10-gcc11-build
2025-10-10T00:33:26.3587542Z   test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-10-10T00:33:26.3589373Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:33:26.3589969Z   sync-tag: 
2025-10-10T00:33:26.3590527Z   timeout-minutes: 240
2025-10-10T00:33:26.3590731Z   use-gha: 
2025-10-10T00:33:26.3590982Z   dashboard-tag: 
2025-10-10T00:33:26.3591244Z   s3-bucket: gha-artifacts
2025-10-10T00:33:26.3591470Z   aws-role-to-assume: 
2025-10-10T00:33:26.3591880Z   disable-monitor: false
2025-10-10T00:33:26.3592145Z   monitor-log-interval: 5
2025-10-10T00:33:26.3592593Z   monitor-data-collect-interval: 1
2025-10-10T00:33:26.3592967Z ##[endgroup]
2025-10-10T00:33:26.3593343Z Complete job name: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:33:26.4318502Z A job started hook has been configured by the self-hosted runner administrator
2025-10-10T00:33:26.4386181Z ##[group]Run '/home/ec2-user/runner-scripts/before_job.sh'
2025-10-10T00:33:26.4392312Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:33:26.4392684Z ##[endgroup]
2025-10-10T00:33:27.5999787Z Runner Type: linux.24xl.spr-metal
2025-10-10T00:33:27.6000222Z Instance Type: c7i.metal-24xl
2025-10-10T00:33:27.6000408Z AMI Name: unknown
2025-10-10T00:33:27.6029876Z AMI ID: ami-08982f1c5bf93d976
2025-10-10T00:33:31.1536860Z ##[group]Run pytorch/test-infra/.github/actions/setup-ssh@main
2025-10-10T00:33:31.1537163Z with:
2025-10-10T00:33:31.1537680Z   github-secret: ***
2025-10-10T00:33:31.1538109Z   instructions: All testing is done inside the container, to start an interactive session run:
  docker exec -it $(docker container ps --format '{{.ID}}') bash

2025-10-10T00:33:31.1538580Z   activate-with-label: false
2025-10-10T00:33:31.1538755Z   label: with-ssh
2025-10-10T00:33:31.1538923Z   remove-existing-keys: true
2025-10-10T00:33:31.1539100Z   fail-silently: true
2025-10-10T00:33:31.1539282Z env:
2025-10-10T00:33:31.1539421Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:33:31.1539599Z ##[endgroup]
2025-10-10T00:33:31.2580711Z Please see https://github.com/pytorch/pytorch/wiki/Debugging-using-with-ssh-for-Github-Actions for more info.
2025-10-10T00:33:31.2581284Z Not on pull request and ciflow reference could not be extracted, skipping adding ssh keys
2025-10-10T00:33:31.2706023Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-10-10T00:33:31.2706297Z with:
2025-10-10T00:33:31.2706453Z   no-sudo: true
2025-10-10T00:33:31.2706612Z   submodules: recursive
2025-10-10T00:33:31.2706776Z   fetch-depth: 0
2025-10-10T00:33:31.2706926Z env:
2025-10-10T00:33:31.2707070Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:33:31.2707279Z ##[endgroup]
2025-10-10T00:33:31.2765031Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:33:31.2765592Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:33:31.2772976Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:33:31.2773217Z env:
2025-10-10T00:33:31.2773400Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:33:31.2773604Z ##[endgroup]
2025-10-10T00:33:31.2840150Z ##[group]Run # Use all available CPUs for fetching
2025-10-10T00:33:31.2840448Z # Use all available CPUs for fetching
2025-10-10T00:33:31.2840661Z cd "${GITHUB_WORKSPACE}"
2025-10-10T00:33:31.2840875Z git config --global fetch.parallel 0
2025-10-10T00:33:31.2841117Z git config --global submodule.fetchJobs 0
2025-10-10T00:33:31.2841329Z 
2025-10-10T00:33:31.2841564Z # Clean workspace. The default checkout action should also do this, but
2025-10-10T00:33:31.2841835Z # do it here as well just in case
2025-10-10T00:33:31.2842039Z if [[ -d .git ]]; then
2025-10-10T00:33:31.2842235Z   if [ -z "${NO_SUDO}" ]; then
2025-10-10T00:33:31.2842430Z     sudo git clean -ffdx
2025-10-10T00:33:31.2842602Z   else
2025-10-10T00:33:31.2842758Z     git clean -ffdx
2025-10-10T00:33:31.2842927Z   fi
2025-10-10T00:33:31.2843069Z fi
2025-10-10T00:33:31.2847166Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:33:31.2847399Z env:
2025-10-10T00:33:31.2847631Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:33:31.2847820Z   NO_SUDO: true
2025-10-10T00:33:31.2847974Z ##[endgroup]
2025-10-10T00:33:31.2952538Z ##[group]Run actions/checkout@v4
2025-10-10T00:33:31.2952749Z with:
2025-10-10T00:33:31.2952922Z   ref: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:33:31.2954824Z   fetch-depth: 0
2025-10-10T00:33:31.2954987Z   submodules: recursive
2025-10-10T00:33:31.2955161Z   show-progress: false
2025-10-10T00:33:31.2955341Z   repository: pytorch/pytorch
2025-10-10T00:33:31.2955611Z   token: ***
2025-10-10T00:33:31.2955766Z   ssh-strict: true
2025-10-10T00:33:31.2955927Z   ssh-user: git
2025-10-10T00:33:31.2956090Z   persist-credentials: true
2025-10-10T00:33:31.2956262Z   clean: true
2025-10-10T00:33:31.2956440Z   sparse-checkout-cone-mode: true
2025-10-10T00:33:31.2956627Z   fetch-tags: false
2025-10-10T00:33:31.2956781Z   lfs: false
2025-10-10T00:33:31.2956925Z   set-safe-directory: true
2025-10-10T00:33:31.2957104Z env:
2025-10-10T00:33:31.2957248Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:33:31.2957413Z ##[endgroup]
2025-10-10T00:33:31.3745839Z Syncing repository: pytorch/pytorch
2025-10-10T00:33:31.3746818Z ##[group]Getting Git version info
2025-10-10T00:33:31.3747140Z Working directory is '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-10-10T00:33:31.3747581Z [command]/usr/bin/git version
2025-10-10T00:33:31.3918371Z git version 2.50.1
2025-10-10T00:33:31.3934047Z ##[endgroup]
2025-10-10T00:33:31.3941392Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/78e1ff22-781a-4d21-8c62-869e739f2efd/.gitconfig'
2025-10-10T00:33:31.3954544Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/78e1ff22-781a-4d21-8c62-869e739f2efd' before making global git config changes
2025-10-10T00:33:31.3955109Z Adding repository directory to the temporary git global config as a safe directory
2025-10-10T00:33:31.3964438Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:33:31.3999524Z Deleting the contents of '/home/ec2-user/actions-runner/_work/pytorch/pytorch'
2025-10-10T00:33:31.4001662Z ##[group]Initializing the repository
2025-10-10T00:33:31.4004588Z [command]/usr/bin/git init /home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:33:31.4055703Z hint: Using 'master' as the name for the initial branch. This default branch name
2025-10-10T00:33:31.4056062Z hint: is subject to change. To configure the initial branch name to use in all
2025-10-10T00:33:31.4056393Z hint: of your new repositories, which will suppress this warning, call:
2025-10-10T00:33:31.4056653Z hint:
2025-10-10T00:33:31.4056868Z hint: 	git config --global init.defaultBranch <name>
2025-10-10T00:33:31.4057097Z hint:
2025-10-10T00:33:31.4057313Z hint: Names commonly chosen instead of 'master' are 'main', 'trunk' and
2025-10-10T00:33:31.4057662Z hint: 'development'. The just-created branch can be renamed via this command:
2025-10-10T00:33:31.4057927Z hint:
2025-10-10T00:33:31.4058087Z hint: 	git branch -m <name>
2025-10-10T00:33:31.4058260Z hint:
2025-10-10T00:33:31.4058501Z hint: Disable this message with "git config set advice.defaultBranchName false"
2025-10-10T00:33:31.4062992Z Initialized empty Git repository in /home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/
2025-10-10T00:33:31.4069227Z [command]/usr/bin/git remote add origin https://github.com/pytorch/pytorch
2025-10-10T00:33:31.4103674Z ##[endgroup]
2025-10-10T00:33:31.4103989Z ##[group]Disabling automatic garbage collection
2025-10-10T00:33:31.4107489Z [command]/usr/bin/git config --local gc.auto 0
2025-10-10T00:33:31.4129577Z ##[endgroup]
2025-10-10T00:33:31.4129945Z ##[group]Setting up auth
2025-10-10T00:33:31.4134127Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-10-10T00:33:31.4152530Z [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' || :"
2025-10-10T00:33:31.4419908Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-10-10T00:33:31.4441842Z [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' || :"
2025-10-10T00:33:31.4680958Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-10-10T00:33:31.4722413Z ##[endgroup]
2025-10-10T00:33:31.4722739Z ##[group]Fetching the repository
2025-10-10T00:33:31.4727759Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-10-10T00:34:10.7434684Z From https://github.com/pytorch/pytorch
2025-10-10T00:34:10.7435115Z  * [new branch]              2.6.0.dev20241004+          -> origin/2.6.0.dev20241004+
2025-10-10T00:34:10.7435481Z  * [new branch]              AaronWang04_addmmfusion_perftest -> origin/AaronWang04_addmmfusion_perftest
2025-10-10T00:34:10.7437736Z  * [new branch]              BootcampDynamo              -> origin/BootcampDynamo
2025-10-10T00:34:10.7438090Z  * [new branch]              DynamoFixGit                -> origin/DynamoFixGit
2025-10-10T00:34:10.7438481Z  * [new branch]              DynamoVariaT                -> origin/DynamoVariaT
2025-10-10T00:34:10.7438817Z  * [new branch]              HDCharles-2.6.0-release-notes -> origin/HDCharles-2.6.0-release-notes
2025-10-10T00:34:10.7439155Z  * [new branch]              ISSUE-154849                -> origin/ISSUE-154849
2025-10-10T00:34:10.7439455Z  * [new branch]              IvanKobzarev/stack/1        -> origin/IvanKobzarev/stack/1
2025-10-10T00:34:10.7439768Z  * [new branch]              IvanKobzarev/stack/2        -> origin/IvanKobzarev/stack/2
2025-10-10T00:34:10.7440422Z  * [new branch]              NicoshevSVE128              -> origin/NicoshevSVE128
2025-10-10T00:34:10.7440752Z  * [new branch]              PR-AOTInductorNoneBug       -> origin/PR-AOTInductorNoneBug
2025-10-10T00:34:10.7441110Z  * [new branch]              PR-AOTInductorNoneBugFix    -> origin/PR-AOTInductorNoneBugFix
2025-10-10T00:34:10.7441455Z  * [new branch]              PR-FixConfigsIssue          -> origin/PR-FixConfigsIssue
2025-10-10T00:34:10.7441898Z  * [new branch]              PR-NoneBugFix-viable        -> origin/PR-NoneBugFix-viable
2025-10-10T00:34:10.7442216Z  * [new branch]              PR-ResetToZero              -> origin/PR-ResetToZero
2025-10-10T00:34:10.7442547Z  * [new branch]              Update-Flash-Packaging      -> origin/Update-Flash-Packaging
2025-10-10T00:34:10.7442863Z  * [new branch]              VLA_exp                     -> origin/VLA_exp
2025-10-10T00:34:10.7443208Z  * [new branch]              actually-run-mps-aot-inductor -> origin/actually-run-mps-aot-inductor
2025-10-10T00:34:10.7443574Z  * [new branch]              add_compile_benchmarking    -> origin/add_compile_benchmarking
2025-10-10T00:34:10.7443895Z  * [new branch]              add_op_tests                -> origin/add_op_tests
2025-10-10T00:34:10.7444213Z  * [new branch]              add_op_to_dashboard         -> origin/add_op_to_dashboard
2025-10-10T00:34:10.7444531Z  * [new branch]              addmm-heuristic             -> origin/addmm-heuristic
2025-10-10T00:34:10.7444876Z  * [new branch]              addremovefunction           -> origin/addremovefunction
2025-10-10T00:34:10.7445168Z  * [new branch]              addvllmtest                 -> origin/addvllmtest
2025-10-10T00:34:10.7445754Z  * [new branch]              adi/test                    -> origin/adi/test
2025-10-10T00:34:10.7446338Z  * [new branch]              adi/test_bgemm              -> origin/adi/test_bgemm
2025-10-10T00:34:10.7446956Z  * [new branch]              adi/test_fusions            -> origin/adi/test_fusions
2025-10-10T00:34:10.7447472Z  * [new branch]              adi/test_onednn             -> origin/adi/test_onednn
2025-10-10T00:34:10.7448613Z  * [new branch]              adi/test_onednn_v3.9        -> origin/adi/test_onednn_v3.9
2025-10-10T00:34:10.7448996Z  * [new branch]              adi/test_presve_change      -> origin/adi/test_presve_change
2025-10-10T00:34:10.7449460Z  * [new branch]              adi/test_timm               -> origin/adi/test_timm
2025-10-10T00:34:10.7450160Z  * [new branch]              adi/testpresve_change       -> origin/adi/testpresve_change
2025-10-10T00:34:10.7451406Z  * [new branch]              aditew01/test/vec_bf16      -> origin/aditew01/test/vec_bf16
2025-10-10T00:34:10.7451919Z  * [new branch]              ah-globalfeedback-hook      -> origin/ah-globalfeedback-hook
2025-10-10T00:34:10.7452521Z  * [new branch]              alt-disable                 -> origin/alt-disable
2025-10-10T00:34:10.7453548Z  * [new branch]              angelayi/aoti_additional_files -> origin/angelayi/aoti_additional_files
2025-10-10T00:34:10.7454014Z  * [new branch]              angelayi/benchmark          -> origin/angelayi/benchmark
2025-10-10T00:34:10.7454622Z  * [new branch]              angelayi/benchmark2         -> origin/angelayi/benchmark2
2025-10-10T00:34:10.7455173Z  * [new branch]              angelayi/benchmark3         -> origin/angelayi/benchmark3
2025-10-10T00:34:10.7455764Z  * [new branch]              angelayi/change_pytree_serialization -> origin/angelayi/change_pytree_serialization
2025-10-10T00:34:10.7456234Z  * [new branch]              angelayi/cpp_loader         -> origin/angelayi/cpp_loader
2025-10-10T00:34:10.7456769Z  * [new branch]              angelayi/customop           -> origin/angelayi/customop
2025-10-10T00:34:10.7457311Z  * [new branch]              angelayi/fix_mps            -> origin/angelayi/fix_mps
2025-10-10T00:34:10.7458148Z  * [new branch]              angelayi/lint               -> origin/angelayi/lint
2025-10-10T00:34:10.7459124Z  * [new branch]              angelayi/no_so_weight       -> origin/angelayi/no_so_weight
2025-10-10T00:34:10.7459728Z  * [new branch]              angelayi/opaque_obj_v2      -> origin/angelayi/opaque_obj_v2
2025-10-10T00:34:10.7460226Z  * [new branch]              angelayi/pattern            -> origin/angelayi/pattern
2025-10-10T00:34:10.7460880Z  * [new branch]              angelayi/pattern_in_out_2   -> origin/angelayi/pattern_in_out_2
2025-10-10T00:34:10.7461833Z  * [new branch]              angelayi/post_grad          -> origin/angelayi/post_grad
2025-10-10T00:34:10.7462195Z  * [new branch]              angelayi/pytree             -> origin/angelayi/pytree
2025-10-10T00:34:10.7462570Z  * [new branch]              angelayi/scan_layers        -> origin/angelayi/scan_layers
2025-10-10T00:34:10.7463119Z  * [new branch]              angelayi/symint_input       -> origin/angelayi/symint_input
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2025-10-10T00:34:10.7704659Z  * [new branch]              ezyang-titan-october        -> origin/ezyang-titan-october
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2025-10-10T00:34:11.1004446Z  * [new branch]              xmfan/ca_dynamic            -> origin/xmfan/ca_dynamic
2025-10-10T00:34:11.1004872Z  * [new branch]              xmfan/ca_fix_dyn            -> origin/xmfan/ca_fix_dyn
2025-10-10T00:34:11.1005557Z  * [new branch]              xmfan/ca_fix_lowering       -> origin/xmfan/ca_fix_lowering
2025-10-10T00:34:11.1005991Z  * [new branch]              xmfan/ca_fix_polyfills      -> origin/xmfan/ca_fix_polyfills
2025-10-10T00:34:11.1006394Z  * [new branch]              xmfan/ca_jan3               -> origin/xmfan/ca_jan3
2025-10-10T00:34:11.1006994Z  * [new branch]              xmfan/ca_jun18              -> origin/xmfan/ca_jun18
2025-10-10T00:34:11.1007417Z  * [new branch]              xmfan/ca_jun24              -> origin/xmfan/ca_jun24
2025-10-10T00:34:11.1007996Z  * [new branch]              xmfan/ca_mem_base           -> origin/xmfan/ca_mem_base
2025-10-10T00:34:11.1008432Z  * [new branch]              xmfan/ca_mem_fix            -> origin/xmfan/ca_mem_fix
2025-10-10T00:34:11.1009034Z  * [new branch]              xmfan/ca_move_to_cuda       -> origin/xmfan/ca_move_to_cuda
2025-10-10T00:34:11.1009867Z  * [new branch]              xmfan/ca_nested             -> origin/xmfan/ca_nested
2025-10-10T00:34:11.1010314Z  * [new branch]              xmfan/ca_overhead           -> origin/xmfan/ca_overhead
2025-10-10T00:34:11.1010924Z  * [new branch]              xmfan/ca_overhead_0eba7e5451 -> origin/xmfan/ca_overhead_0eba7e5451
2025-10-10T00:34:11.1011290Z  * [new branch]              xmfan/ca_scalar             -> origin/xmfan/ca_scalar
2025-10-10T00:34:11.1011911Z  * [new branch]              xmfan/ca_subclass_mem_fix   -> origin/xmfan/ca_subclass_mem_fix
2025-10-10T00:34:11.1012508Z  * [new branch]              xmfan/ca_warm_mem           -> origin/xmfan/ca_warm_mem
2025-10-10T00:34:11.1013092Z  * [new branch]              xmfan/ca_warm_mem_base      -> origin/xmfan/ca_warm_mem_base
2025-10-10T00:34:11.1013457Z  * [new branch]              xmfan/cacu_jun18            -> origin/xmfan/cacu_jun18
2025-10-10T00:34:11.1014073Z  * [new branch]              xmfan/cacu_jun19            -> origin/xmfan/cacu_jun19
2025-10-10T00:34:11.1014493Z  * [new branch]              xmfan/cacu_jun4             -> origin/xmfan/cacu_jun4
2025-10-10T00:34:11.1015131Z  * [new branch]              xmfan/cacu_may27            -> origin/xmfan/cacu_may27
2025-10-10T00:34:11.1015554Z  * [new branch]              xmfan/disable_duck_shape    -> origin/xmfan/disable_duck_shape
2025-10-10T00:34:11.1016185Z  * [new branch]              xmfan/fca_cpp_node_passthrough -> origin/xmfan/fca_cpp_node_passthrough
2025-10-10T00:34:11.1016613Z  * [new branch]              xmfan/issue_123374          -> origin/xmfan/issue_123374
2025-10-10T00:34:11.1017411Z  * [new branch]              xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/post_3945954741e2d37023c5d6954f9483008e0892f9
2025-10-10T00:34:11.1017781Z  * [new branch]              xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9 -> origin/xmfan/pre_3945954741e2d37023c5d6954f9483008e0892f9
2025-10-10T00:34:11.1018337Z  * [new branch]              xmfan/single_step           -> origin/xmfan/single_step
2025-10-10T00:34:11.1018793Z  * [new branch]              xmfan/sth_0829              -> origin/xmfan/sth_0829
2025-10-10T00:34:11.1019445Z  * [new branch]              xmfan/test                  -> origin/xmfan/test
2025-10-10T00:34:11.1020404Z  * [new branch]              yguo/debug-0226-constexpr   -> origin/yguo/debug-0226-constexpr
2025-10-10T00:34:11.1021035Z  * [new branch]              yguo/new_latest_changes     -> origin/yguo/new_latest_changes
2025-10-10T00:34:11.1021324Z  * [new branch]              yguo/patch_constexpr_changes -> origin/yguo/patch_constexpr_changes
2025-10-10T00:34:11.1021967Z  * [new branch]              yihan_quantization          -> origin/yihan_quantization
2025-10-10T00:34:11.1022743Z  * [new branch]              yiming/bootcamp             -> origin/yiming/bootcamp
2025-10-10T00:34:11.1023221Z  * [new branch]              yiming/improve_sharding_error_msg -> origin/yiming/improve_sharding_error_msg
2025-10-10T00:34:11.1023704Z  * [new branch]              yiming/precompile_benchmark -> origin/yiming/precompile_benchmark
2025-10-10T00:34:11.1024284Z  * [new branch]              yolo-llama3                 -> origin/yolo-llama3
2025-10-10T00:34:11.1025123Z  * [new branch]              ysiraichi/install-fmtlib-headers-v12 -> origin/ysiraichi/install-fmtlib-headers-v12
2025-10-10T00:34:11.1025758Z  * [new branch]              zainr/canary-test           -> origin/zainr/canary-test
2025-10-10T00:34:11.1026389Z  * [new branch]              zainr/cleanup-gh-runners    -> origin/zainr/cleanup-gh-runners
2025-10-10T00:34:11.1026775Z  * [new branch]              zainr/pull-migration-c      -> origin/zainr/pull-migration-c
2025-10-10T00:34:11.1027364Z  * [new branch]              zainr/test2                 -> origin/zainr/test2
2025-10-10T00:34:11.1027718Z  * [new branch]              zainr/unstable              -> origin/zainr/unstable
2025-10-10T00:34:11.1028429Z  * [new branch]              zasdfgbnm-patch-3           -> origin/zasdfgbnm-patch-3
2025-10-10T00:34:11.1029119Z  * [new branch]              zb2p                        -> origin/zb2p
2025-10-10T00:34:11.1029717Z  * [new branch]              zeros-and-scatter-part2     -> origin/zeros-and-scatter-part2
2025-10-10T00:34:11.1030606Z  * [new branch]              zhxchen17/aot_compile_fix_load_guard_manager -> origin/zhxchen17/aot_compile_fix_load_guard_manager
2025-10-10T00:34:11.1031393Z  * [new branch]              zhxchen17/precompile/source_info -> origin/zhxchen17/precompile/source_info
2025-10-10T00:34:11.1032178Z  * [new branch]              zhxchen17/scratch/0         -> origin/zhxchen17/scratch/0
2025-10-10T00:34:11.1033008Z  * [new branch]              zhxhcen17/moodycamel        -> origin/zhxhcen17/moodycamel
2025-10-10T00:34:11.1033768Z  * [new branch]              zxiiro/build-times          -> origin/zxiiro/build-times
2025-10-10T00:34:11.1034290Z  * [new branch]              zxiiro/c7i-docs             -> origin/zxiiro/c7i-docs
2025-10-10T00:34:11.1034980Z  * [new branch]              zxiiro/c7i-linux-4xlarge    -> origin/zxiiro/c7i-linux-4xlarge
2025-10-10T00:34:11.1035413Z  * [new branch]              zxiiro/c7i-linux-build-yaml -> origin/zxiiro/c7i-linux-build-yaml
2025-10-10T00:34:11.1035984Z  * [new branch]              zxiiro/main                 -> origin/zxiiro/main
2025-10-10T00:34:11.1036613Z  * [new branch]              zxiiro/test-multicloud-arc  -> origin/zxiiro/test-multicloud-arc
2025-10-10T00:34:11.1037149Z  * [new tag]                 bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug -> bc2caa7fdf006894eff7af936babde69ab5a40f8-huydhn-debug
2025-10-10T00:34:11.1037596Z  * [new tag]                 ci/binaries/77164           -> ci/binaries/77164
2025-10-10T00:34:11.1038282Z  * [new tag]                 ciflow/b200-symm-mem/163767 -> ciflow/b200-symm-mem/163767
2025-10-10T00:34:11.1038646Z  * [new tag]                 ciflow/b200/163955          -> ciflow/b200/163955
2025-10-10T00:34:11.1038975Z  * [new tag]                 ciflow/binaries/157432      -> ciflow/binaries/157432
2025-10-10T00:34:11.1039323Z  * [new tag]                 ciflow/binaries/158104      -> ciflow/binaries/158104
2025-10-10T00:34:11.1040042Z  * [new tag]                 ciflow/binaries/164769      -> ciflow/binaries/164769
2025-10-10T00:34:11.1040353Z  * [new tag]                 ciflow/binaries/164894      -> ciflow/binaries/164894
2025-10-10T00:34:11.1040793Z  * [new tag]                 ciflow/binaries_libtorch/157432 -> ciflow/binaries_libtorch/157432
2025-10-10T00:34:11.1041148Z  * [new tag]                 ciflow/binaries_wheel/157432 -> ciflow/binaries_wheel/157432
2025-10-10T00:34:11.1041542Z  * [new tag]                 ciflow/binaries_wheel/159104 -> ciflow/binaries_wheel/159104
2025-10-10T00:34:11.1041990Z  * [new tag]                 ciflow/binaries_wheel/164935 -> ciflow/binaries_wheel/164935
2025-10-10T00:34:11.1042415Z  * [new tag]                 ciflow/h100-cutlass-backend/163767 -> ciflow/h100-cutlass-backend/163767
2025-10-10T00:34:11.1042753Z  * [new tag]                 ciflow/h100-cutlass-backend/164747 -> ciflow/h100-cutlass-backend/164747
2025-10-10T00:34:11.1043119Z  * [new tag]                 ciflow/h100-distributed/163767 -> ciflow/h100-distributed/163767
2025-10-10T00:34:11.1043522Z  * [new tag]                 ciflow/h100-symm-mem/151845 -> ciflow/h100-symm-mem/151845
2025-10-10T00:34:11.1043834Z  * [new tag]                 ciflow/h100-symm-mem/157635 -> ciflow/h100-symm-mem/157635
2025-10-10T00:34:11.1044167Z  * [new tag]                 ciflow/h100-symm-mem/163767 -> ciflow/h100-symm-mem/163767
2025-10-10T00:34:11.1044522Z  * [new tag]                 ciflow/h100-symm-mem/164747 -> ciflow/h100-symm-mem/164747
2025-10-10T00:34:11.1044823Z  * [new tag]                 ciflow/h100-symm-mem/164965 -> ciflow/h100-symm-mem/164965
2025-10-10T00:34:11.1045117Z  * [new tag]                 ciflow/h100-symm-mem/165101 -> ciflow/h100-symm-mem/165101
2025-10-10T00:34:11.1045534Z  * [new tag]                 ciflow/h100/163955          -> ciflow/h100/163955
2025-10-10T00:34:11.1045919Z  * [new tag]                 ciflow/h100/164474          -> ciflow/h100/164474
2025-10-10T00:34:11.1046339Z  * [new tag]                 ciflow/h100/164705          -> ciflow/h100/164705
2025-10-10T00:34:11.1046679Z  * [new tag]                 ciflow/h100/164790          -> ciflow/h100/164790
2025-10-10T00:34:11.1046973Z  * [new tag]                 ciflow/h100/164930          -> ciflow/h100/164930
2025-10-10T00:34:11.1047291Z  * [new tag]                 ciflow/h100/165055          -> ciflow/h100/165055
2025-10-10T00:34:11.1047998Z  * [new tag]                 ciflow/inductor-micro-benchmark/164747 -> ciflow/inductor-micro-benchmark/164747
2025-10-10T00:34:11.1048288Z  * [new tag]                 ciflow/inductor-perf-compare/163767 -> ciflow/inductor-perf-compare/163767
2025-10-10T00:34:11.1048634Z  * [new tag]                 ciflow/inductor-perf-compare/164747 -> ciflow/inductor-perf-compare/164747
2025-10-10T00:34:11.1049136Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/151845 -> ciflow/inductor-perf-test-nightly-rocm/151845
2025-10-10T00:34:11.1049489Z  * [new tag]                 ciflow/inductor-perf-test-nightly-rocm/164747 -> ciflow/inductor-perf-test-nightly-rocm/164747
2025-10-10T00:34:11.1049901Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/161512 -> ciflow/inductor-perf-test-nightly-x86-zen/161512
2025-10-10T00:34:11.1050256Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/162954 -> ciflow/inductor-perf-test-nightly-x86-zen/162954
2025-10-10T00:34:11.1050529Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/163767 -> ciflow/inductor-perf-test-nightly-x86-zen/163767
2025-10-10T00:34:11.1051012Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164126 -> ciflow/inductor-perf-test-nightly-x86-zen/164126
2025-10-10T00:34:11.1051296Z  * [new tag]                 ciflow/inductor-perf-test-nightly-x86-zen/164747 -> ciflow/inductor-perf-test-nightly-x86-zen/164747
2025-10-10T00:34:11.1051880Z  * [new tag]                 ciflow/inductor-periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> ciflow/inductor-periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8
2025-10-10T00:34:11.1052199Z  * [new tag]                 ciflow/inductor-periodic/156592 -> ciflow/inductor-periodic/156592
2025-10-10T00:34:11.1052646Z  * [new tag]                 ciflow/inductor-periodic/164492 -> ciflow/inductor-periodic/164492
2025-10-10T00:34:11.1053213Z  * [new tag]                 ciflow/inductor-periodic/73adac05d13babb75410c3e033fdce57aa16881a -> ciflow/inductor-periodic/73adac05d13babb75410c3e033fdce57aa16881a
2025-10-10T00:34:11.1053444Z  * [new tag]                 ciflow/inductor-rocm/151845 -> ciflow/inductor-rocm/151845
2025-10-10T00:34:11.1053863Z  * [new tag]                 ciflow/inductor-rocm/161280 -> ciflow/inductor-rocm/161280
2025-10-10T00:34:11.1054228Z  * [new tag]                 ciflow/inductor-rocm/162478 -> ciflow/inductor-rocm/162478
2025-10-10T00:34:11.1054574Z  * [new tag]                 ciflow/inductor-rocm/163767 -> ciflow/inductor-rocm/163767
2025-10-10T00:34:11.1055173Z  * [new tag]                 ciflow/inductor-rocm/164618 -> ciflow/inductor-rocm/164618
2025-10-10T00:34:11.1055396Z  * [new tag]                 ciflow/inductor-rocm/164747 -> ciflow/inductor-rocm/164747
2025-10-10T00:34:11.1055688Z  * [new tag]                 ciflow/inductor-rocm/164769 -> ciflow/inductor-rocm/164769
2025-10-10T00:34:11.1056146Z  * [new tag]                 ciflow/inductor-rocm/165080 -> ciflow/inductor-rocm/165080
2025-10-10T00:34:11.1056535Z  * [new tag]                 ciflow/inductor/137400      -> ciflow/inductor/137400
2025-10-10T00:34:11.1056851Z  * [new tag]                 ciflow/inductor/148180      -> ciflow/inductor/148180
2025-10-10T00:34:11.1057190Z  * [new tag]                 ciflow/inductor/148328      -> ciflow/inductor/148328
2025-10-10T00:34:11.1057544Z  * [new tag]                 ciflow/inductor/148484      -> ciflow/inductor/148484
2025-10-10T00:34:11.1057863Z  * [new tag]                 ciflow/inductor/148492      -> ciflow/inductor/148492
2025-10-10T00:34:11.1058230Z  * [new tag]                 ciflow/inductor/149003      -> ciflow/inductor/149003
2025-10-10T00:34:11.1058553Z  * [new tag]                 ciflow/inductor/151845      -> ciflow/inductor/151845
2025-10-10T00:34:11.1058915Z  * [new tag]                 ciflow/inductor/152624      -> ciflow/inductor/152624
2025-10-10T00:34:11.1059163Z  * [new tag]                 ciflow/inductor/156592      -> ciflow/inductor/156592
2025-10-10T00:34:11.1059541Z  * [new tag]                 ciflow/inductor/157635      -> ciflow/inductor/157635
2025-10-10T00:34:11.1059926Z  * [new tag]                 ciflow/inductor/157743      -> ciflow/inductor/157743
2025-10-10T00:34:11.1060851Z  * [new tag]                 ciflow/inductor/157994      -> ciflow/inductor/157994
2025-10-10T00:34:11.1061209Z  * [new tag]                 ciflow/inductor/158104      -> ciflow/inductor/158104
2025-10-10T00:34:11.1061714Z  * [new tag]                 ciflow/inductor/158872      -> ciflow/inductor/158872
2025-10-10T00:34:11.1061999Z  * [new tag]                 ciflow/inductor/159523      -> ciflow/inductor/159523
2025-10-10T00:34:11.1062572Z  * [new tag]                 ciflow/inductor/160266      -> ciflow/inductor/160266
2025-10-10T00:34:11.1063070Z  * [new tag]                 ciflow/inductor/160324      -> ciflow/inductor/160324
2025-10-10T00:34:11.1063377Z  * [new tag]                 ciflow/inductor/160325      -> ciflow/inductor/160325
2025-10-10T00:34:11.1063957Z  * [new tag]                 ciflow/inductor/160326      -> ciflow/inductor/160326
2025-10-10T00:34:11.1064309Z  * [new tag]                 ciflow/inductor/160327      -> ciflow/inductor/160327
2025-10-10T00:34:11.1064756Z  * [new tag]                 ciflow/inductor/160328      -> ciflow/inductor/160328
2025-10-10T00:34:11.1065222Z  * [new tag]                 ciflow/inductor/160329      -> ciflow/inductor/160329
2025-10-10T00:34:11.1066115Z  * [new tag]                 ciflow/inductor/160539      -> ciflow/inductor/160539
2025-10-10T00:34:11.1066354Z  * [new tag]                 ciflow/inductor/160611      -> ciflow/inductor/160611
2025-10-10T00:34:11.1066720Z  * [new tag]                 ciflow/inductor/160843      -> ciflow/inductor/160843
2025-10-10T00:34:11.1067023Z  * [new tag]                 ciflow/inductor/160903      -> ciflow/inductor/160903
2025-10-10T00:34:11.1067408Z  * [new tag]                 ciflow/inductor/161118      -> ciflow/inductor/161118
2025-10-10T00:34:11.1067700Z  * [new tag]                 ciflow/inductor/161158      -> ciflow/inductor/161158
2025-10-10T00:34:11.1068069Z  * [new tag]                 ciflow/inductor/161280      -> ciflow/inductor/161280
2025-10-10T00:34:11.1068450Z  * [new tag]                 ciflow/inductor/161320      -> ciflow/inductor/161320
2025-10-10T00:34:11.1069075Z  * [new tag]                 ciflow/inductor/161485      -> ciflow/inductor/161485
2025-10-10T00:34:11.1069375Z  * [new tag]                 ciflow/inductor/161495      -> ciflow/inductor/161495
2025-10-10T00:34:11.1069698Z  * [new tag]                 ciflow/inductor/161512      -> ciflow/inductor/161512
2025-10-10T00:34:11.1069978Z  * [new tag]                 ciflow/inductor/162031      -> ciflow/inductor/162031
2025-10-10T00:34:11.1070347Z  * [new tag]                 ciflow/inductor/162066      -> ciflow/inductor/162066
2025-10-10T00:34:11.1070656Z  * [new tag]                 ciflow/inductor/162294      -> ciflow/inductor/162294
2025-10-10T00:34:11.1071032Z  * [new tag]                 ciflow/inductor/162340      -> ciflow/inductor/162340
2025-10-10T00:34:11.1071381Z  * [new tag]                 ciflow/inductor/162470      -> ciflow/inductor/162470
2025-10-10T00:34:11.1071782Z  * [new tag]                 ciflow/inductor/162523      -> ciflow/inductor/162523
2025-10-10T00:34:11.1072156Z  * [new tag]                 ciflow/inductor/162542      -> ciflow/inductor/162542
2025-10-10T00:34:11.1072465Z  * [new tag]                 ciflow/inductor/162768      -> ciflow/inductor/162768
2025-10-10T00:34:11.1072792Z  * [new tag]                 ciflow/inductor/162899      -> ciflow/inductor/162899
2025-10-10T00:34:11.1073156Z  * [new tag]                 ciflow/inductor/162900      -> ciflow/inductor/162900
2025-10-10T00:34:11.1073475Z  * [new tag]                 ciflow/inductor/162901      -> ciflow/inductor/162901
2025-10-10T00:34:11.1074039Z  * [new tag]                 ciflow/inductor/162903      -> ciflow/inductor/162903
2025-10-10T00:34:11.1074275Z  * [new tag]                 ciflow/inductor/162905      -> ciflow/inductor/162905
2025-10-10T00:34:11.1074608Z  * [new tag]                 ciflow/inductor/162954      -> ciflow/inductor/162954
2025-10-10T00:34:11.1074931Z  * [new tag]                 ciflow/inductor/162990      -> ciflow/inductor/162990
2025-10-10T00:34:11.1075280Z  * [new tag]                 ciflow/inductor/163027      -> ciflow/inductor/163027
2025-10-10T00:34:11.1075597Z  * [new tag]                 ciflow/inductor/163028      -> ciflow/inductor/163028
2025-10-10T00:34:11.1075959Z  * [new tag]                 ciflow/inductor/163053      -> ciflow/inductor/163053
2025-10-10T00:34:11.1076284Z  * [new tag]                 ciflow/inductor/163185      -> ciflow/inductor/163185
2025-10-10T00:34:11.1076618Z  * [new tag]                 ciflow/inductor/163335      -> ciflow/inductor/163335
2025-10-10T00:34:11.1076944Z  * [new tag]                 ciflow/inductor/163490      -> ciflow/inductor/163490
2025-10-10T00:34:11.1077293Z  * [new tag]                 ciflow/inductor/163503      -> ciflow/inductor/163503
2025-10-10T00:34:11.1077875Z  * [new tag]                 ciflow/inductor/163517      -> ciflow/inductor/163517
2025-10-10T00:34:11.1078167Z  * [new tag]                 ciflow/inductor/163527      -> ciflow/inductor/163527
2025-10-10T00:34:11.1078477Z  * [new tag]                 ciflow/inductor/163533      -> ciflow/inductor/163533
2025-10-10T00:34:11.1078793Z  * [new tag]                 ciflow/inductor/163602      -> ciflow/inductor/163602
2025-10-10T00:34:11.1079137Z  * [new tag]                 ciflow/inductor/163617      -> ciflow/inductor/163617
2025-10-10T00:34:11.1079467Z  * [new tag]                 ciflow/inductor/163667      -> ciflow/inductor/163667
2025-10-10T00:34:11.1079825Z  * [new tag]                 ciflow/inductor/163671      -> ciflow/inductor/163671
2025-10-10T00:34:11.1080290Z  * [new tag]                 ciflow/inductor/163767      -> ciflow/inductor/163767
2025-10-10T00:34:11.1080611Z  * [new tag]                 ciflow/inductor/163772      -> ciflow/inductor/163772
2025-10-10T00:34:11.1080941Z  * [new tag]                 ciflow/inductor/163806      -> ciflow/inductor/163806
2025-10-10T00:34:11.1081286Z  * [new tag]                 ciflow/inductor/163936      -> ciflow/inductor/163936
2025-10-10T00:34:11.1081699Z  * [new tag]                 ciflow/inductor/163976      -> ciflow/inductor/163976
2025-10-10T00:34:11.1082273Z  * [new tag]                 ciflow/inductor/164039      -> ciflow/inductor/164039
2025-10-10T00:34:11.1082602Z  * [new tag]                 ciflow/inductor/164040      -> ciflow/inductor/164040
2025-10-10T00:34:11.1082946Z  * [new tag]                 ciflow/inductor/164130      -> ciflow/inductor/164130
2025-10-10T00:34:11.1083312Z  * [new tag]                 ciflow/inductor/164144      -> ciflow/inductor/164144
2025-10-10T00:34:11.1083627Z  * [new tag]                 ciflow/inductor/164202      -> ciflow/inductor/164202
2025-10-10T00:34:11.1083985Z  * [new tag]                 ciflow/inductor/164212      -> ciflow/inductor/164212
2025-10-10T00:34:11.1084438Z  * [new tag]                 ciflow/inductor/164273      -> ciflow/inductor/164273
2025-10-10T00:34:11.1084752Z  * [new tag]                 ciflow/inductor/164277      -> ciflow/inductor/164277
2025-10-10T00:34:11.1085501Z  * [new tag]                 ciflow/inductor/164291      -> ciflow/inductor/164291
2025-10-10T00:34:11.1085789Z  * [new tag]                 ciflow/inductor/164296      -> ciflow/inductor/164296
2025-10-10T00:34:11.1086100Z  * [new tag]                 ciflow/inductor/164304      -> ciflow/inductor/164304
2025-10-10T00:34:11.1086442Z  * [new tag]                 ciflow/inductor/164318      -> ciflow/inductor/164318
2025-10-10T00:34:11.1086821Z  * [new tag]                 ciflow/inductor/164321      -> ciflow/inductor/164321
2025-10-10T00:34:11.1087180Z  * [new tag]                 ciflow/inductor/164324      -> ciflow/inductor/164324
2025-10-10T00:34:11.1087511Z  * [new tag]                 ciflow/inductor/164341      -> ciflow/inductor/164341
2025-10-10T00:34:11.1087831Z  * [new tag]                 ciflow/inductor/164343      -> ciflow/inductor/164343
2025-10-10T00:34:11.1088211Z  * [new tag]                 ciflow/inductor/164344      -> ciflow/inductor/164344
2025-10-10T00:34:11.1088576Z  * [new tag]                 ciflow/inductor/164359      -> ciflow/inductor/164359
2025-10-10T00:34:11.1088924Z  * [new tag]                 ciflow/inductor/164373      -> ciflow/inductor/164373
2025-10-10T00:34:11.1089333Z  * [new tag]                 ciflow/inductor/164379      -> ciflow/inductor/164379
2025-10-10T00:34:11.1089711Z  * [new tag]                 ciflow/inductor/164384      -> ciflow/inductor/164384
2025-10-10T00:34:11.1090033Z  * [new tag]                 ciflow/inductor/164404      -> ciflow/inductor/164404
2025-10-10T00:34:11.1090418Z  * [new tag]                 ciflow/inductor/164405      -> ciflow/inductor/164405
2025-10-10T00:34:11.1090732Z  * [new tag]                 ciflow/inductor/164414      -> ciflow/inductor/164414
2025-10-10T00:34:11.1091063Z  * [new tag]                 ciflow/inductor/164422      -> ciflow/inductor/164422
2025-10-10T00:34:11.1091431Z  * [new tag]                 ciflow/inductor/164433      -> ciflow/inductor/164433
2025-10-10T00:34:11.1091762Z  * [new tag]                 ciflow/inductor/164474      -> ciflow/inductor/164474
2025-10-10T00:34:11.1092189Z  * [new tag]                 ciflow/inductor/164488      -> ciflow/inductor/164488
2025-10-10T00:34:11.1092573Z  * [new tag]                 ciflow/inductor/164492      -> ciflow/inductor/164492
2025-10-10T00:34:11.1092873Z  * [new tag]                 ciflow/inductor/164497      -> ciflow/inductor/164497
2025-10-10T00:34:11.1093249Z  * [new tag]                 ciflow/inductor/164498      -> ciflow/inductor/164498
2025-10-10T00:34:11.1093552Z  * [new tag]                 ciflow/inductor/164500      -> ciflow/inductor/164500
2025-10-10T00:34:11.1094038Z  * [new tag]                 ciflow/inductor/164507      -> ciflow/inductor/164507
2025-10-10T00:34:11.1094251Z  * [new tag]                 ciflow/inductor/164519      -> ciflow/inductor/164519
2025-10-10T00:34:11.1094690Z  * [new tag]                 ciflow/inductor/164521      -> ciflow/inductor/164521
2025-10-10T00:34:11.1095055Z  * [new tag]                 ciflow/inductor/164522      -> ciflow/inductor/164522
2025-10-10T00:34:11.1095501Z  * [new tag]                 ciflow/inductor/164523      -> ciflow/inductor/164523
2025-10-10T00:34:11.1095877Z  * [new tag]                 ciflow/inductor/164524      -> ciflow/inductor/164524
2025-10-10T00:34:11.1096213Z  * [new tag]                 ciflow/inductor/164525      -> ciflow/inductor/164525
2025-10-10T00:34:11.1096580Z  * [new tag]                 ciflow/inductor/164526      -> ciflow/inductor/164526
2025-10-10T00:34:11.1097149Z  * [new tag]                 ciflow/inductor/164527      -> ciflow/inductor/164527
2025-10-10T00:34:11.1097396Z  * [new tag]                 ciflow/inductor/164533      -> ciflow/inductor/164533
2025-10-10T00:34:11.1097747Z  * [new tag]                 ciflow/inductor/164537      -> ciflow/inductor/164537
2025-10-10T00:34:11.1098119Z  * [new tag]                 ciflow/inductor/164548      -> ciflow/inductor/164548
2025-10-10T00:34:11.1098530Z  * [new tag]                 ciflow/inductor/164557      -> ciflow/inductor/164557
2025-10-10T00:34:11.1098807Z  * [new tag]                 ciflow/inductor/164558      -> ciflow/inductor/164558
2025-10-10T00:34:11.1099235Z  * [new tag]                 ciflow/inductor/164560      -> ciflow/inductor/164560
2025-10-10T00:34:11.1099639Z  * [new tag]                 ciflow/inductor/164565      -> ciflow/inductor/164565
2025-10-10T00:34:11.1099941Z  * [new tag]                 ciflow/inductor/164577      -> ciflow/inductor/164577
2025-10-10T00:34:11.1100358Z  * [new tag]                 ciflow/inductor/164609      -> ciflow/inductor/164609
2025-10-10T00:34:11.1100761Z  * [new tag]                 ciflow/inductor/164610      -> ciflow/inductor/164610
2025-10-10T00:34:11.1101046Z  * [new tag]                 ciflow/inductor/164611      -> ciflow/inductor/164611
2025-10-10T00:34:11.1101430Z  * [new tag]                 ciflow/inductor/164612      -> ciflow/inductor/164612
2025-10-10T00:34:11.1101750Z  * [new tag]                 ciflow/inductor/164613      -> ciflow/inductor/164613
2025-10-10T00:34:11.1102074Z  * [new tag]                 ciflow/inductor/164614      -> ciflow/inductor/164614
2025-10-10T00:34:11.1102473Z  * [new tag]                 ciflow/inductor/164623      -> ciflow/inductor/164623
2025-10-10T00:34:11.1102788Z  * [new tag]                 ciflow/inductor/164626      -> ciflow/inductor/164626
2025-10-10T00:34:11.1103227Z  * [new tag]                 ciflow/inductor/164628      -> ciflow/inductor/164628
2025-10-10T00:34:11.1103573Z  * [new tag]                 ciflow/inductor/164631      -> ciflow/inductor/164631
2025-10-10T00:34:11.1104006Z  * [new tag]                 ciflow/inductor/164632      -> ciflow/inductor/164632
2025-10-10T00:34:11.1104320Z  * [new tag]                 ciflow/inductor/164633      -> ciflow/inductor/164633
2025-10-10T00:34:11.1104702Z  * [new tag]                 ciflow/inductor/164640      -> ciflow/inductor/164640
2025-10-10T00:34:11.1105143Z  * [new tag]                 ciflow/inductor/164641      -> ciflow/inductor/164641
2025-10-10T00:34:11.1105545Z  * [new tag]                 ciflow/inductor/164645      -> ciflow/inductor/164645
2025-10-10T00:34:11.1105900Z  * [new tag]                 ciflow/inductor/164648      -> ciflow/inductor/164648
2025-10-10T00:34:11.1106473Z  * [new tag]                 ciflow/inductor/164653      -> ciflow/inductor/164653
2025-10-10T00:34:11.1106861Z  * [new tag]                 ciflow/inductor/164655      -> ciflow/inductor/164655
2025-10-10T00:34:11.1107285Z  * [new tag]                 ciflow/inductor/164657      -> ciflow/inductor/164657
2025-10-10T00:34:11.1107770Z  * [new tag]                 ciflow/inductor/164659      -> ciflow/inductor/164659
2025-10-10T00:34:11.1108106Z  * [new tag]                 ciflow/inductor/164669      -> ciflow/inductor/164669
2025-10-10T00:34:11.1108480Z  * [new tag]                 ciflow/inductor/164690      -> ciflow/inductor/164690
2025-10-10T00:34:11.1108882Z  * [new tag]                 ciflow/inductor/164691      -> ciflow/inductor/164691
2025-10-10T00:34:11.1109635Z  * [new tag]                 ciflow/inductor/164692      -> ciflow/inductor/164692
2025-10-10T00:34:11.1109942Z  * [new tag]                 ciflow/inductor/164711      -> ciflow/inductor/164711
2025-10-10T00:34:11.1110274Z  * [new tag]                 ciflow/inductor/164714      -> ciflow/inductor/164714
2025-10-10T00:34:11.1110634Z  * [new tag]                 ciflow/inductor/164717      -> ciflow/inductor/164717
2025-10-10T00:34:11.1110996Z  * [new tag]                 ciflow/inductor/164718      -> ciflow/inductor/164718
2025-10-10T00:34:11.1111534Z  * [new tag]                 ciflow/inductor/164723      -> ciflow/inductor/164723
2025-10-10T00:34:11.1111857Z  * [new tag]                 ciflow/inductor/164724      -> ciflow/inductor/164724
2025-10-10T00:34:11.1112266Z  * [new tag]                 ciflow/inductor/164734      -> ciflow/inductor/164734
2025-10-10T00:34:11.1112624Z  * [new tag]                 ciflow/inductor/164740      -> ciflow/inductor/164740
2025-10-10T00:34:11.1113192Z  * [new tag]                 ciflow/inductor/164746      -> ciflow/inductor/164746
2025-10-10T00:34:11.1113411Z  * [new tag]                 ciflow/inductor/164747      -> ciflow/inductor/164747
2025-10-10T00:34:11.1113782Z  * [new tag]                 ciflow/inductor/164776      -> ciflow/inductor/164776
2025-10-10T00:34:11.1114099Z  * [new tag]                 ciflow/inductor/164778      -> ciflow/inductor/164778
2025-10-10T00:34:11.1114469Z  * [new tag]                 ciflow/inductor/164780      -> ciflow/inductor/164780
2025-10-10T00:34:11.1114843Z  * [new tag]                 ciflow/inductor/164794      -> ciflow/inductor/164794
2025-10-10T00:34:11.1115200Z  * [new tag]                 ciflow/inductor/164802      -> ciflow/inductor/164802
2025-10-10T00:34:11.1115496Z  * [new tag]                 ciflow/inductor/164806      -> ciflow/inductor/164806
2025-10-10T00:34:11.1116073Z  * [new tag]                 ciflow/inductor/164808      -> ciflow/inductor/164808
2025-10-10T00:34:11.1116375Z  * [new tag]                 ciflow/inductor/164810      -> ciflow/inductor/164810
2025-10-10T00:34:11.1116787Z  * [new tag]                 ciflow/inductor/164811      -> ciflow/inductor/164811
2025-10-10T00:34:11.1117129Z  * [new tag]                 ciflow/inductor/164812      -> ciflow/inductor/164812
2025-10-10T00:34:11.1117439Z  * [new tag]                 ciflow/inductor/164819      -> ciflow/inductor/164819
2025-10-10T00:34:11.1117996Z  * [new tag]                 ciflow/inductor/164820      -> ciflow/inductor/164820
2025-10-10T00:34:11.1118305Z  * [new tag]                 ciflow/inductor/164821      -> ciflow/inductor/164821
2025-10-10T00:34:11.1118631Z  * [new tag]                 ciflow/inductor/164839      -> ciflow/inductor/164839
2025-10-10T00:34:11.1118965Z  * [new tag]                 ciflow/inductor/164842      -> ciflow/inductor/164842
2025-10-10T00:34:11.1119335Z  * [new tag]                 ciflow/inductor/164847      -> ciflow/inductor/164847
2025-10-10T00:34:11.1119718Z  * [new tag]                 ciflow/inductor/164852      -> ciflow/inductor/164852
2025-10-10T00:34:11.1120059Z  * [new tag]                 ciflow/inductor/164863      -> ciflow/inductor/164863
2025-10-10T00:34:11.1120420Z  * [new tag]                 ciflow/inductor/164865      -> ciflow/inductor/164865
2025-10-10T00:34:11.1120756Z  * [new tag]                 ciflow/inductor/164866      -> ciflow/inductor/164866
2025-10-10T00:34:11.1121107Z  * [new tag]                 ciflow/inductor/164867      -> ciflow/inductor/164867
2025-10-10T00:34:11.1121440Z  * [new tag]                 ciflow/inductor/164869      -> ciflow/inductor/164869
2025-10-10T00:34:11.1121845Z  * [new tag]                 ciflow/inductor/164873      -> ciflow/inductor/164873
2025-10-10T00:34:11.1122129Z  * [new tag]                 ciflow/inductor/164889      -> ciflow/inductor/164889
2025-10-10T00:34:11.1122504Z  * [new tag]                 ciflow/inductor/164897      -> ciflow/inductor/164897
2025-10-10T00:34:11.1122832Z  * [new tag]                 ciflow/inductor/164902      -> ciflow/inductor/164902
2025-10-10T00:34:11.1123157Z  * [new tag]                 ciflow/inductor/164903      -> ciflow/inductor/164903
2025-10-10T00:34:11.1123525Z  * [new tag]                 ciflow/inductor/164906      -> ciflow/inductor/164906
2025-10-10T00:34:11.1123899Z  * [new tag]                 ciflow/inductor/164914      -> ciflow/inductor/164914
2025-10-10T00:34:11.1124217Z  * [new tag]                 ciflow/inductor/164919      -> ciflow/inductor/164919
2025-10-10T00:34:11.1124609Z  * [new tag]                 ciflow/inductor/164933      -> ciflow/inductor/164933
2025-10-10T00:34:11.1125027Z  * [new tag]                 ciflow/inductor/164938      -> ciflow/inductor/164938
2025-10-10T00:34:11.1125450Z  * [new tag]                 ciflow/inductor/164948      -> ciflow/inductor/164948
2025-10-10T00:34:11.1125793Z  * [new tag]                 ciflow/inductor/164956      -> ciflow/inductor/164956
2025-10-10T00:34:11.1126164Z  * [new tag]                 ciflow/inductor/164965      -> ciflow/inductor/164965
2025-10-10T00:34:11.1126478Z  * [new tag]                 ciflow/inductor/164978      -> ciflow/inductor/164978
2025-10-10T00:34:11.1126833Z  * [new tag]                 ciflow/inductor/164979      -> ciflow/inductor/164979
2025-10-10T00:34:11.1127213Z  * [new tag]                 ciflow/inductor/164980      -> ciflow/inductor/164980
2025-10-10T00:34:11.1127659Z  * [new tag]                 ciflow/inductor/164984      -> ciflow/inductor/164984
2025-10-10T00:34:11.1127971Z  * [new tag]                 ciflow/inductor/164989      -> ciflow/inductor/164989
2025-10-10T00:34:11.1128559Z  * [new tag]                 ciflow/inductor/164991      -> ciflow/inductor/164991
2025-10-10T00:34:11.1128875Z  * [new tag]                 ciflow/inductor/164992      -> ciflow/inductor/164992
2025-10-10T00:34:11.1129313Z  * [new tag]                 ciflow/inductor/164994      -> ciflow/inductor/164994
2025-10-10T00:34:11.1129689Z  * [new tag]                 ciflow/inductor/164999      -> ciflow/inductor/164999
2025-10-10T00:34:11.1130049Z  * [new tag]                 ciflow/inductor/165001      -> ciflow/inductor/165001
2025-10-10T00:34:11.1130363Z  * [new tag]                 ciflow/inductor/165005      -> ciflow/inductor/165005
2025-10-10T00:34:11.1130699Z  * [new tag]                 ciflow/inductor/165006      -> ciflow/inductor/165006
2025-10-10T00:34:11.1131074Z  * [new tag]                 ciflow/inductor/165010      -> ciflow/inductor/165010
2025-10-10T00:34:11.1131411Z  * [new tag]                 ciflow/inductor/165012      -> ciflow/inductor/165012
2025-10-10T00:34:11.1131773Z  * [new tag]                 ciflow/inductor/165017      -> ciflow/inductor/165017
2025-10-10T00:34:11.1132235Z  * [new tag]                 ciflow/inductor/165018      -> ciflow/inductor/165018
2025-10-10T00:34:11.1132594Z  * [new tag]                 ciflow/inductor/165024      -> ciflow/inductor/165024
2025-10-10T00:34:11.1132983Z  * [new tag]                 ciflow/inductor/165029      -> ciflow/inductor/165029
2025-10-10T00:34:11.1133795Z  * [new tag]                 ciflow/inductor/165030      -> ciflow/inductor/165030
2025-10-10T00:34:11.1134187Z  * [new tag]                 ciflow/inductor/165031      -> ciflow/inductor/165031
2025-10-10T00:34:11.1134605Z  * [new tag]                 ciflow/inductor/165033      -> ciflow/inductor/165033
2025-10-10T00:34:11.1135165Z  * [new tag]                 ciflow/inductor/165036      -> ciflow/inductor/165036
2025-10-10T00:34:11.1135534Z  * [new tag]                 ciflow/inductor/165037      -> ciflow/inductor/165037
2025-10-10T00:34:11.1135921Z  * [new tag]                 ciflow/inductor/165039      -> ciflow/inductor/165039
2025-10-10T00:34:11.1136411Z  * [new tag]                 ciflow/inductor/165047      -> ciflow/inductor/165047
2025-10-10T00:34:11.1136657Z  * [new tag]                 ciflow/inductor/165059      -> ciflow/inductor/165059
2025-10-10T00:34:11.1137046Z  * [new tag]                 ciflow/inductor/165063      -> ciflow/inductor/165063
2025-10-10T00:34:11.1137386Z  * [new tag]                 ciflow/inductor/165064      -> ciflow/inductor/165064
2025-10-10T00:34:11.1137770Z  * [new tag]                 ciflow/inductor/165066      -> ciflow/inductor/165066
2025-10-10T00:34:11.1138135Z  * [new tag]                 ciflow/inductor/165074      -> ciflow/inductor/165074
2025-10-10T00:34:11.1138477Z  * [new tag]                 ciflow/inductor/165076      -> ciflow/inductor/165076
2025-10-10T00:34:11.1138808Z  * [new tag]                 ciflow/inductor/165091      -> ciflow/inductor/165091
2025-10-10T00:34:11.1139218Z  * [new tag]                 ciflow/inductor/165092      -> ciflow/inductor/165092
2025-10-10T00:34:11.1139579Z  * [new tag]                 ciflow/inductor/165106      -> ciflow/inductor/165106
2025-10-10T00:34:11.1140019Z  * [new tag]                 ciflow/inductor/165107      -> ciflow/inductor/165107
2025-10-10T00:34:11.1140611Z  * [new tag]                 ciflow/inductor/165112      -> ciflow/inductor/165112
2025-10-10T00:34:11.1140925Z  * [new tag]                 ciflow/inductor/165113      -> ciflow/inductor/165113
2025-10-10T00:34:11.1141564Z  * [new tag]                 ciflow/inductor/3b9a386     -> ciflow/inductor/3b9a386
2025-10-10T00:34:11.1141948Z  * [new tag]                 ciflow/inductor/3d4b92b     -> ciflow/inductor/3d4b92b
2025-10-10T00:34:11.1142356Z  * [new tag]                 ciflow/inductor/d224ac7     -> ciflow/inductor/d224ac7
2025-10-10T00:34:11.1142954Z  * [new tag]                 ciflow/linux-aarch64/157994 -> ciflow/linux-aarch64/157994
2025-10-10T00:34:11.1143242Z  * [new tag]                 ciflow/linux-aarch64/163952 -> ciflow/linux-aarch64/163952
2025-10-10T00:34:11.1143598Z  * [new tag]                 ciflow/linux-aarch64/164965 -> ciflow/linux-aarch64/164965
2025-10-10T00:34:11.1143953Z  * [new tag]                 ciflow/linux-aarch64/165010 -> ciflow/linux-aarch64/165010
2025-10-10T00:34:11.1144356Z  * [new tag]                 ciflow/mps/157553           -> ciflow/mps/157553
2025-10-10T00:34:11.1144662Z  * [new tag]                 ciflow/mps/157554           -> ciflow/mps/157554
2025-10-10T00:34:11.1145116Z  * [new tag]                 ciflow/mps/157635           -> ciflow/mps/157635
2025-10-10T00:34:11.1145372Z  * [new tag]                 ciflow/mps/162340           -> ciflow/mps/162340
2025-10-10T00:34:11.1145767Z  * [new tag]                 ciflow/mps/164416           -> ciflow/mps/164416
2025-10-10T00:34:11.1146118Z  * [new tag]                 ciflow/mps/164571           -> ciflow/mps/164571
2025-10-10T00:34:11.1146436Z  * [new tag]                 ciflow/mps/164965           -> ciflow/mps/164965
2025-10-10T00:34:11.1146901Z  * [new tag]                 ciflow/nightly/158104       -> ciflow/nightly/158104
2025-10-10T00:34:11.1147245Z  * [new tag]                 ciflow/nightly/164747       -> ciflow/nightly/164747
2025-10-10T00:34:11.1147514Z  * [new tag]                 ciflow/nightly/164901       -> ciflow/nightly/164901
2025-10-10T00:34:11.1147959Z  * [new tag]                 ciflow/op-benchmark/157994  -> ciflow/op-benchmark/157994
2025-10-10T00:34:11.1148321Z  * [new tag]                 ciflow/op-benchmark/163767  -> ciflow/op-benchmark/163767
2025-10-10T00:34:11.1148608Z  * [new tag]                 ciflow/op-benchmark/164583  -> ciflow/op-benchmark/164583
2025-10-10T00:34:11.1149006Z  * [new tag]                 ciflow/op-benchmark/164747  -> ciflow/op-benchmark/164747
2025-10-10T00:34:11.1149462Z  * [new tag]                 ciflow/periodic-rocm-mi300/162478 -> ciflow/periodic-rocm-mi300/162478
2025-10-10T00:34:11.1149816Z  * [new tag]                 ciflow/periodic-rocm-mi300/163767 -> ciflow/periodic-rocm-mi300/163767
2025-10-10T00:34:11.1150229Z  * [new tag]                 ciflow/periodic-rocm-mi300/164618 -> ciflow/periodic-rocm-mi300/164618
2025-10-10T00:34:11.1150465Z  * [new tag]                 ciflow/periodic-rocm-mi300/164747 -> ciflow/periodic-rocm-mi300/164747
2025-10-10T00:34:11.1150884Z  * [new tag]                 ciflow/periodic-rocm-mi300/165011 -> ciflow/periodic-rocm-mi300/165011
2025-10-10T00:34:11.1151234Z  * [new tag]                 ciflow/periodic-rocm-mi300/165080 -> ciflow/periodic-rocm-mi300/165080
2025-10-10T00:34:11.1152027Z  * [new tag]                 ciflow/periodic/054a2fd     -> ciflow/periodic/054a2fd
2025-10-10T00:34:11.1152882Z  * [new tag]                 ciflow/periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> ciflow/periodic/0d39ecb2ce8556e85343d8da0c87450192c2fdf8
2025-10-10T00:34:11.1153274Z  * [new tag]                 ciflow/periodic/0ea59c3c55dab37a6edefcc7002bb1428afd6456 -> ciflow/periodic/0ea59c3c55dab37a6edefcc7002bb1428afd6456
2025-10-10T00:34:11.1153569Z  * [new tag]                 ciflow/periodic/156491      -> ciflow/periodic/156491
2025-10-10T00:34:11.1153867Z  * [new tag]                 ciflow/periodic/162990      -> ciflow/periodic/162990
2025-10-10T00:34:11.1154213Z  * [new tag]                 ciflow/periodic/163667      -> ciflow/periodic/163667
2025-10-10T00:34:11.1154525Z  * [new tag]                 ciflow/periodic/163767      -> ciflow/periodic/163767
2025-10-10T00:34:11.1155108Z  * [new tag]                 ciflow/periodic/164747      -> ciflow/periodic/164747
2025-10-10T00:34:11.1155436Z  * [new tag]                 ciflow/periodic/164769      -> ciflow/periodic/164769
2025-10-10T00:34:11.1155782Z  * [new tag]                 ciflow/periodic/165011      -> ciflow/periodic/165011
2025-10-10T00:34:11.1156551Z  * [new tag]                 ciflow/periodic/2a6cdba6e5f74c2294fecc2d1344537522efbaab -> ciflow/periodic/2a6cdba6e5f74c2294fecc2d1344537522efbaab
2025-10-10T00:34:11.1156801Z  * [new tag]                 ciflow/periodic/2a6d37d     -> ciflow/periodic/2a6d37d
2025-10-10T00:34:11.1157241Z  * [new tag]                 ciflow/periodic/317eeb8     -> ciflow/periodic/317eeb8
2025-10-10T00:34:11.1157685Z  * [new tag]                 ciflow/periodic/3c32        -> ciflow/periodic/3c32
2025-10-10T00:34:11.1158261Z  * [new tag]                 ciflow/periodic/3e98831     -> ciflow/periodic/3e98831
2025-10-10T00:34:11.1158707Z  * [new tag]                 ciflow/periodic/4bcc05777e780e834d44a2d06dd5321daec316f0 -> ciflow/periodic/4bcc05777e780e834d44a2d06dd5321daec316f0
2025-10-10T00:34:11.1159096Z  * [new tag]                 ciflow/periodic/73adac05d13babb75410c3e033fdce57aa16881a -> ciflow/periodic/73adac05d13babb75410c3e033fdce57aa16881a
2025-10-10T00:34:11.1159512Z  * [new tag]                 ciflow/periodic/94512-point -> ciflow/periodic/94512-point
2025-10-10T00:34:11.1160220Z  * [new tag]                 ciflow/periodic/ac08556f674259ff5b117964e300124e8a92d45b -> ciflow/periodic/ac08556f674259ff5b117964e300124e8a92d45b
2025-10-10T00:34:11.1160600Z  * [new tag]                 ciflow/periodic/csl/test87519 -> ciflow/periodic/csl/test87519
2025-10-10T00:34:11.1161066Z  * [new tag]                 ciflow/periodic/csltest88275 -> ciflow/periodic/csltest88275
2025-10-10T00:34:11.1161491Z  * [new tag]                 ciflow/periodic/csltest88761 -> ciflow/periodic/csltest88761
2025-10-10T00:34:11.1161965Z  * [new tag]                 ciflow/periodic/release_1.12 -> ciflow/periodic/release_1.12
2025-10-10T00:34:11.1162611Z  * [new tag]                 ciflow/periodic/release_1.12.0 -> ciflow/periodic/release_1.12.0
2025-10-10T00:34:11.1163188Z  * [new tag]                 ciflow/periodic/sha-ec5b83  -> ciflow/periodic/sha-ec5b83
2025-10-10T00:34:11.1163604Z  * [new tag]                 ciflow/quantization-periodic/163767 -> ciflow/quantization-periodic/163767
2025-10-10T00:34:11.1163911Z  * [new tag]                 ciflow/quantization-periodic/164747 -> ciflow/quantization-periodic/164747
2025-10-10T00:34:11.1164661Z  * [new tag]                 ciflow/riscv64/163767       -> ciflow/riscv64/163767
2025-10-10T00:34:11.1164972Z  * [new tag]                 ciflow/riscv64/164747       -> ciflow/riscv64/164747
2025-10-10T00:34:11.1165602Z  * [new tag]                 ciflow/rocm-mi300/161280    -> ciflow/rocm-mi300/161280
2025-10-10T00:34:11.1165860Z  * [new tag]                 ciflow/rocm-mi300/162478    -> ciflow/rocm-mi300/162478
2025-10-10T00:34:11.1166206Z  * [new tag]                 ciflow/rocm-mi300/163767    -> ciflow/rocm-mi300/163767
2025-10-10T00:34:11.1166491Z  * [new tag]                 ciflow/rocm-mi300/163955    -> ciflow/rocm-mi300/163955
2025-10-10T00:34:11.1166816Z  * [new tag]                 ciflow/rocm-mi300/164618    -> ciflow/rocm-mi300/164618
2025-10-10T00:34:11.1167151Z  * [new tag]                 ciflow/rocm-mi300/164747    -> ciflow/rocm-mi300/164747
2025-10-10T00:34:11.1167582Z  * [new tag]                 ciflow/rocm-mi300/164927    -> ciflow/rocm-mi300/164927
2025-10-10T00:34:11.1167935Z  * [new tag]                 ciflow/rocm-mi300/164930    -> ciflow/rocm-mi300/164930
2025-10-10T00:34:11.1168325Z  * [new tag]                 ciflow/rocm-mi300/165026    -> ciflow/rocm-mi300/165026
2025-10-10T00:34:11.1168638Z  * [new tag]                 ciflow/rocm-mi300/165080    -> ciflow/rocm-mi300/165080
2025-10-10T00:34:11.1169097Z  * [new tag]                 ciflow/rocm-mi355/163767    -> ciflow/rocm-mi355/163767
2025-10-10T00:34:11.1169401Z  * [new tag]                 ciflow/rocm-mi355/164747    -> ciflow/rocm-mi355/164747
2025-10-10T00:34:11.1169845Z  * [new tag]                 ciflow/rocm/148492          -> ciflow/rocm/148492
2025-10-10T00:34:11.1170145Z  * [new tag]                 ciflow/rocm/151845          -> ciflow/rocm/151845
2025-10-10T00:34:11.1170491Z  * [new tag]                 ciflow/rocm/156592          -> ciflow/rocm/156592
2025-10-10T00:34:11.1170779Z  * [new tag]                 ciflow/rocm/161280          -> ciflow/rocm/161280
2025-10-10T00:34:11.1171123Z  * [new tag]                 ciflow/rocm/163767          -> ciflow/rocm/163767
2025-10-10T00:34:11.1171504Z  * [new tag]                 ciflow/rocm/163955          -> ciflow/rocm/163955
2025-10-10T00:34:11.1171869Z  * [new tag]                 ciflow/rocm/163965          -> ciflow/rocm/163965
2025-10-10T00:34:11.1172461Z  * [new tag]                 ciflow/rocm/164656          -> ciflow/rocm/164656
2025-10-10T00:34:11.1172684Z  * [new tag]                 ciflow/rocm/164747          -> ciflow/rocm/164747
2025-10-10T00:34:11.1173033Z  * [new tag]                 ciflow/rocm/164769          -> ciflow/rocm/164769
2025-10-10T00:34:11.1173320Z  * [new tag]                 ciflow/rocm/164927          -> ciflow/rocm/164927
2025-10-10T00:34:11.1173916Z  * [new tag]                 ciflow/rocm/164930          -> ciflow/rocm/164930
2025-10-10T00:34:11.1174297Z  * [new tag]                 ciflow/rocm/165026          -> ciflow/rocm/165026
2025-10-10T00:34:11.1174726Z  * [new tag]                 ciflow/rocm/165103          -> ciflow/rocm/165103
2025-10-10T00:34:11.1175093Z  * [new tag]                 ciflow/s390/164747          -> ciflow/s390/164747
2025-10-10T00:34:11.1175686Z  * [new tag]                 ciflow/s390/164917          -> ciflow/s390/164917
2025-10-10T00:34:11.1176111Z  * [new tag]                 ciflow/slow/01c7106         -> ciflow/slow/01c7106
2025-10-10T00:34:11.1176772Z  * [new tag]                 ciflow/slow/0577043         -> ciflow/slow/0577043
2025-10-10T00:34:11.1177386Z  * [new tag]                 ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym -> ciflow/slow/0d5b74da0cab798fbfdb9caa53fad816999c8386-sdym
2025-10-10T00:34:11.1177621Z  * [new tag]                 ciflow/slow/0e81104         -> ciflow/slow/0e81104
2025-10-10T00:34:11.1177928Z  * [new tag]                 ciflow/slow/163767          -> ciflow/slow/163767
2025-10-10T00:34:11.1178277Z  * [new tag]                 ciflow/slow/164747          -> ciflow/slow/164747
2025-10-10T00:34:11.1178642Z  * [new tag]                 ciflow/slow/164769          -> ciflow/slow/164769
2025-10-10T00:34:11.1179130Z  * [new tag]                 ciflow/slow/1732077         -> ciflow/slow/1732077
2025-10-10T00:34:11.1179747Z  * [new tag]                 ciflow/slow/187eb7c         -> ciflow/slow/187eb7c
2025-10-10T00:34:11.1180312Z  * [new tag]                 ciflow/slow/1faef89         -> ciflow/slow/1faef89
2025-10-10T00:34:11.1180876Z  * [new tag]                 ciflow/slow/3920ec1         -> ciflow/slow/3920ec1
2025-10-10T00:34:11.1181242Z  * [new tag]                 ciflow/slow/3b7c6b2         -> ciflow/slow/3b7c6b2
2025-10-10T00:34:11.1181661Z  * [new tag]                 ciflow/slow/59a3759         -> ciflow/slow/59a3759
2025-10-10T00:34:11.1182080Z  * [new tag]                 ciflow/slow/70ef0bb         -> ciflow/slow/70ef0bb
2025-10-10T00:34:11.1182489Z  * [new tag]                 ciflow/slow/788ff06         -> ciflow/slow/788ff06
2025-10-10T00:34:11.1183320Z  * [new tag]                 ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym -> ciflow/slow/8751002215790a3a88750faa8f4366933e296693-sdym
2025-10-10T00:34:11.1183514Z  * [new tag]                 ciflow/slow/9d85864         -> ciflow/slow/9d85864
2025-10-10T00:34:11.1183918Z  * [new tag]                 ciflow/slow/9ffad5b         -> ciflow/slow/9ffad5b
2025-10-10T00:34:11.1184337Z  * [new tag]                 ciflow/slow/a206e8b         -> ciflow/slow/a206e8b
2025-10-10T00:34:11.1184887Z  * [new tag]                 ciflow/slow/a837609         -> ciflow/slow/a837609
2025-10-10T00:34:11.1185256Z  * [new tag]                 ciflow/slow/af841f3         -> ciflow/slow/af841f3
2025-10-10T00:34:11.1186401Z  * [new tag]                 ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym -> ciflow/slow/da3aba1e46157c4df504b067477cdf2b3c96b194-sdym
2025-10-10T00:34:11.1186610Z  * [new tag]                 ciflow/torchbench/164747    -> ciflow/torchbench/164747
2025-10-10T00:34:11.1187005Z  * [new tag]                 ciflow/trunk/113258         -> ciflow/trunk/113258
2025-10-10T00:34:11.1187354Z  * [new tag]                 ciflow/trunk/137400         -> ciflow/trunk/137400
2025-10-10T00:34:11.1187650Z  * [new tag]                 ciflow/trunk/148180         -> ciflow/trunk/148180
2025-10-10T00:34:11.1187986Z  * [new tag]                 ciflow/trunk/148328         -> ciflow/trunk/148328
2025-10-10T00:34:11.1188298Z  * [new tag]                 ciflow/trunk/148492         -> ciflow/trunk/148492
2025-10-10T00:34:11.1188657Z  * [new tag]                 ciflow/trunk/149003         -> ciflow/trunk/149003
2025-10-10T00:34:11.1188996Z  * [new tag]                 ciflow/trunk/149536         -> ciflow/trunk/149536
2025-10-10T00:34:11.1189553Z  * [new tag]                 ciflow/trunk/151845         -> ciflow/trunk/151845
2025-10-10T00:34:11.1189771Z  * [new tag]                 ciflow/trunk/152624         -> ciflow/trunk/152624
2025-10-10T00:34:11.1190339Z  * [new tag]                 ciflow/trunk/154279         -> ciflow/trunk/154279
2025-10-10T00:34:11.1190530Z  * [new tag]                 ciflow/trunk/154983         -> ciflow/trunk/154983
2025-10-10T00:34:11.1191173Z  * [new tag]                 ciflow/trunk/156418         -> ciflow/trunk/156418
2025-10-10T00:34:11.1191549Z  * [new tag]                 ciflow/trunk/156592         -> ciflow/trunk/156592
2025-10-10T00:34:11.1191972Z  * [new tag]                 ciflow/trunk/157432         -> ciflow/trunk/157432
2025-10-10T00:34:11.1192288Z  * [new tag]                 ciflow/trunk/157994         -> ciflow/trunk/157994
2025-10-10T00:34:11.1192656Z  * [new tag]                 ciflow/trunk/158104         -> ciflow/trunk/158104
2025-10-10T00:34:11.1192986Z  * [new tag]                 ciflow/trunk/159104         -> ciflow/trunk/159104
2025-10-10T00:34:11.1193334Z  * [new tag]                 ciflow/trunk/160266         -> ciflow/trunk/160266
2025-10-10T00:34:11.1193673Z  * [new tag]                 ciflow/trunk/160328         -> ciflow/trunk/160328
2025-10-10T00:34:11.1194104Z  * [new tag]                 ciflow/trunk/160329         -> ciflow/trunk/160329
2025-10-10T00:34:11.1194523Z  * [new tag]                 ciflow/trunk/160539         -> ciflow/trunk/160539
2025-10-10T00:34:11.1195110Z  * [new tag]                 ciflow/trunk/160610         -> ciflow/trunk/160610
2025-10-10T00:34:11.1195353Z  * [new tag]                 ciflow/trunk/160843         -> ciflow/trunk/160843
2025-10-10T00:34:11.1195739Z  * [new tag]                 ciflow/trunk/161035         -> ciflow/trunk/161035
2025-10-10T00:34:11.1196098Z  * [new tag]                 ciflow/trunk/161320         -> ciflow/trunk/161320
2025-10-10T00:34:11.1196488Z  * [new tag]                 ciflow/trunk/162031         -> ciflow/trunk/162031
2025-10-10T00:34:11.1196819Z  * [new tag]                 ciflow/trunk/162066         -> ciflow/trunk/162066
2025-10-10T00:34:11.1197263Z  * [new tag]                 ciflow/trunk/162203         -> ciflow/trunk/162203
2025-10-10T00:34:11.1197574Z  * [new tag]                 ciflow/trunk/162340         -> ciflow/trunk/162340
2025-10-10T00:34:11.1197935Z  * [new tag]                 ciflow/trunk/162542         -> ciflow/trunk/162542
2025-10-10T00:34:11.1198376Z  * [new tag]                 ciflow/trunk/162899         -> ciflow/trunk/162899
2025-10-10T00:34:11.1201971Z  * [new tag]                 ciflow/trunk/163034         -> ciflow/trunk/163034
2025-10-10T00:34:11.1202546Z  * [new tag]                 ciflow/trunk/163332         -> ciflow/trunk/163332
2025-10-10T00:34:11.1202825Z  * [new tag]                 ciflow/trunk/163446         -> ciflow/trunk/163446
2025-10-10T00:34:11.1203196Z  * [new tag]                 ciflow/trunk/163490         -> ciflow/trunk/163490
2025-10-10T00:34:11.1203598Z  * [new tag]                 ciflow/trunk/163527         -> ciflow/trunk/163527
2025-10-10T00:34:11.1204159Z  * [new tag]                 ciflow/trunk/163533         -> ciflow/trunk/163533
2025-10-10T00:34:11.1204464Z  * [new tag]                 ciflow/trunk/163671         -> ciflow/trunk/163671
2025-10-10T00:34:11.1204808Z  * [new tag]                 ciflow/trunk/163767         -> ciflow/trunk/163767
2025-10-10T00:34:11.1205139Z  * [new tag]                 ciflow/trunk/163846         -> ciflow/trunk/163846
2025-10-10T00:34:11.1205546Z  * [new tag]                 ciflow/trunk/163899         -> ciflow/trunk/163899
2025-10-10T00:34:11.1205896Z  * [new tag]                 ciflow/trunk/163955         -> ciflow/trunk/163955
2025-10-10T00:34:11.1206199Z  * [new tag]                 ciflow/trunk/163976         -> ciflow/trunk/163976
2025-10-10T00:34:11.1206582Z  * [new tag]                 ciflow/trunk/164040         -> ciflow/trunk/164040
2025-10-10T00:34:11.1206904Z  * [new tag]                 ciflow/trunk/164130         -> ciflow/trunk/164130
2025-10-10T00:34:11.1207229Z  * [new tag]                 ciflow/trunk/164144         -> ciflow/trunk/164144
2025-10-10T00:34:11.1207578Z  * [new tag]                 ciflow/trunk/164202         -> ciflow/trunk/164202
2025-10-10T00:34:11.1207897Z  * [new tag]                 ciflow/trunk/164318         -> ciflow/trunk/164318
2025-10-10T00:34:11.1208261Z  * [new tag]                 ciflow/trunk/164414         -> ciflow/trunk/164414
2025-10-10T00:34:11.1208671Z  * [new tag]                 ciflow/trunk/164416         -> ciflow/trunk/164416
2025-10-10T00:34:11.1209321Z  * [new tag]                 ciflow/trunk/164437         -> ciflow/trunk/164437
2025-10-10T00:34:11.1209625Z  * [new tag]                 ciflow/trunk/164467         -> ciflow/trunk/164467
2025-10-10T00:34:11.1209915Z  * [new tag]                 ciflow/trunk/164500         -> ciflow/trunk/164500
2025-10-10T00:34:11.1210242Z  * [new tag]                 ciflow/trunk/164510         -> ciflow/trunk/164510
2025-10-10T00:34:11.1210580Z  * [new tag]                 ciflow/trunk/164519         -> ciflow/trunk/164519
2025-10-10T00:34:11.1210915Z  * [new tag]                 ciflow/trunk/164542         -> ciflow/trunk/164542
2025-10-10T00:34:11.1211267Z  * [new tag]                 ciflow/trunk/164560         -> ciflow/trunk/164560
2025-10-10T00:34:11.1211818Z  * [new tag]                 ciflow/trunk/164566         -> ciflow/trunk/164566
2025-10-10T00:34:11.1212095Z  * [new tag]                 ciflow/trunk/164623         -> ciflow/trunk/164623
2025-10-10T00:34:11.1212411Z  * [new tag]                 ciflow/trunk/164628         -> ciflow/trunk/164628
2025-10-10T00:34:11.1212766Z  * [new tag]                 ciflow/trunk/164641         -> ciflow/trunk/164641
2025-10-10T00:34:11.1213204Z  * [new tag]                 ciflow/trunk/164643         -> ciflow/trunk/164643
2025-10-10T00:34:11.1213568Z  * [new tag]                 ciflow/trunk/164645         -> ciflow/trunk/164645
2025-10-10T00:34:11.1213884Z  * [new tag]                 ciflow/trunk/164653         -> ciflow/trunk/164653
2025-10-10T00:34:11.1214221Z  * [new tag]                 ciflow/trunk/164655         -> ciflow/trunk/164655
2025-10-10T00:34:11.1214574Z  * [new tag]                 ciflow/trunk/164691         -> ciflow/trunk/164691
2025-10-10T00:34:11.1215022Z  * [new tag]                 ciflow/trunk/164692         -> ciflow/trunk/164692
2025-10-10T00:34:11.1215365Z  * [new tag]                 ciflow/trunk/164705         -> ciflow/trunk/164705
2025-10-10T00:34:11.1215709Z  * [new tag]                 ciflow/trunk/164746         -> ciflow/trunk/164746
2025-10-10T00:34:11.1216144Z  * [new tag]                 ciflow/trunk/164747         -> ciflow/trunk/164747
2025-10-10T00:34:11.1216447Z  * [new tag]                 ciflow/trunk/164790         -> ciflow/trunk/164790
2025-10-10T00:34:11.1216816Z  * [new tag]                 ciflow/trunk/164808         -> ciflow/trunk/164808
2025-10-10T00:34:11.1217211Z  * [new tag]                 ciflow/trunk/164812         -> ciflow/trunk/164812
2025-10-10T00:34:11.1217610Z  * [new tag]                 ciflow/trunk/164836         -> ciflow/trunk/164836
2025-10-10T00:34:11.1217936Z  * [new tag]                 ciflow/trunk/164842         -> ciflow/trunk/164842
2025-10-10T00:34:11.1218319Z  * [new tag]                 ciflow/trunk/164882         -> ciflow/trunk/164882
2025-10-10T00:34:11.1218705Z  * [new tag]                 ciflow/trunk/164889         -> ciflow/trunk/164889
2025-10-10T00:34:11.1219049Z  * [new tag]                 ciflow/trunk/164894         -> ciflow/trunk/164894
2025-10-10T00:34:11.1219403Z  * [new tag]                 ciflow/trunk/164930         -> ciflow/trunk/164930
2025-10-10T00:34:11.1219716Z  * [new tag]                 ciflow/trunk/164953         -> ciflow/trunk/164953
2025-10-10T00:34:11.1220091Z  * [new tag]                 ciflow/trunk/164976         -> ciflow/trunk/164976
2025-10-10T00:34:11.1220425Z  * [new tag]                 ciflow/trunk/164999         -> ciflow/trunk/164999
2025-10-10T00:34:11.1220732Z  * [new tag]                 ciflow/trunk/165000         -> ciflow/trunk/165000
2025-10-10T00:34:11.1221127Z  * [new tag]                 ciflow/trunk/165017         -> ciflow/trunk/165017
2025-10-10T00:34:11.1221424Z  * [new tag]                 ciflow/trunk/165018         -> ciflow/trunk/165018
2025-10-10T00:34:11.1221965Z  * [new tag]                 ciflow/trunk/165024         -> ciflow/trunk/165024
2025-10-10T00:34:11.1222217Z  * [new tag]                 ciflow/trunk/165033         -> ciflow/trunk/165033
2025-10-10T00:34:11.1222558Z  * [new tag]                 ciflow/trunk/165047         -> ciflow/trunk/165047
2025-10-10T00:34:11.1222889Z  * [new tag]                 ciflow/trunk/165057         -> ciflow/trunk/165057
2025-10-10T00:34:11.1223258Z  * [new tag]                 ciflow/trunk/165060         -> ciflow/trunk/165060
2025-10-10T00:34:11.1223583Z  * [new tag]                 ciflow/trunk/165065         -> ciflow/trunk/165065
2025-10-10T00:34:11.1223942Z  * [new tag]                 ciflow/trunk/165066         -> ciflow/trunk/165066
2025-10-10T00:34:11.1224585Z  * [new tag]                 ciflow/trunk/165090         -> ciflow/trunk/165090
2025-10-10T00:34:11.1224997Z  * [new tag]                 ciflow/trunk/165094         -> ciflow/trunk/165094
2025-10-10T00:34:11.1225396Z  * [new tag]                 ciflow/trunk/165113         -> ciflow/trunk/165113
2025-10-10T00:34:11.1226162Z  * [new tag]                 ciflow/unstable/123         -> ciflow/unstable/123
2025-10-10T00:34:11.1226597Z  * [new tag]                 ciflow/vllm/164628          -> ciflow/vllm/164628
2025-10-10T00:34:11.1226976Z  * [new tag]                 ciflow/win-arm64/158104     -> ciflow/win-arm64/158104
2025-10-10T00:34:11.1227552Z  * [new tag]                 ciflow/xpu/157994           -> ciflow/xpu/157994
2025-10-10T00:34:11.1227800Z  * [new tag]                 ciflow/xpu/161485           -> ciflow/xpu/161485
2025-10-10T00:34:11.1228239Z  * [new tag]                 ciflow/xpu/162454           -> ciflow/xpu/162454
2025-10-10T00:34:11.1228545Z  * [new tag]                 ciflow/xpu/163332           -> ciflow/xpu/163332
2025-10-10T00:34:11.1229110Z  * [new tag]                 cslpull75                   -> cslpull75
2025-10-10T00:34:11.1229435Z  * [new tag]                 cslpull76                   -> cslpull76
2025-10-10T00:34:11.1229831Z  * [new tag]                 cslpull77                   -> cslpull77
2025-10-10T00:34:11.1230225Z  * [new tag]                 cslpull78                   -> cslpull78
2025-10-10T00:34:11.1231173Z  * [new tag]                 cslpull79                   -> cslpull79
2025-10-10T00:34:11.1231751Z  * [new tag]                 cslpull80                   -> cslpull80
2025-10-10T00:34:11.1232090Z  * [new tag]                 cslpull81                   -> cslpull81
2025-10-10T00:34:11.1232519Z  * [new tag]                 cslpull82                   -> cslpull82
2025-10-10T00:34:11.1232949Z  * [new tag]                 cslpull83                   -> cslpull83
2025-10-10T00:34:11.1233357Z  * [new tag]                 cslpull84                   -> cslpull84
2025-10-10T00:34:11.1233757Z  * [new tag]                 cslpull85                   -> cslpull85
2025-10-10T00:34:11.1234326Z  * [new tag]                 cslpull86                   -> cslpull86
2025-10-10T00:34:11.1234723Z  * [new tag]                 cslpull87                   -> cslpull87
2025-10-10T00:34:11.1235139Z  * [new tag]                 cslpull88                   -> cslpull88
2025-10-10T00:34:11.1235555Z  * [new tag]                 cslpull89                   -> cslpull89
2025-10-10T00:34:11.1235839Z  * [new tag]                 cslpull90                   -> cslpull90
2025-10-10T00:34:11.1236725Z  * [new tag]                 cslpull91                   -> cslpull91
2025-10-10T00:34:11.1237117Z  * [new tag]                 cslpull92                   -> cslpull92
2025-10-10T00:34:11.1237542Z  * [new tag]                 flight_5                    -> flight_5
2025-10-10T00:34:11.1238094Z  * [new tag]                 flight_5.1                  -> flight_5.1
2025-10-10T00:34:11.1238475Z  * [new tag]                 flight_5.2                  -> flight_5.2
2025-10-10T00:34:11.1238839Z  * [new tag]                 flight_5.3                  -> flight_5.3
2025-10-10T00:34:11.1239523Z  * [new tag]                 forpull1                    -> forpull1
2025-10-10T00:34:11.1240085Z  * [new tag]                 malfet/tag-2ef5611          -> malfet/tag-2ef5611
2025-10-10T00:34:11.1240462Z  * [new tag]                 malfet/tag-317b1a0          -> malfet/tag-317b1a0
2025-10-10T00:34:11.1240903Z  * [new tag]                 malfet/tag-ec6f767          -> malfet/tag-ec6f767
2025-10-10T00:34:11.1241545Z  * [new tag]                 nightly-binary              -> nightly-binary
2025-10-10T00:34:11.1241785Z  * [new tag]                 sqzhang_flight4_plus        -> sqzhang_flight4_plus
2025-10-10T00:34:11.1242394Z  * [new tag]                 sqzhang_flight_3            -> sqzhang_flight_3
2025-10-10T00:34:11.1243077Z  * [new tag]                 trunk/001e1d263746ae9d121d9c8cf55bc87f777d9dba -> trunk/001e1d263746ae9d121d9c8cf55bc87f777d9dba
2025-10-10T00:34:11.1243489Z  * [new tag]                 trunk/005c3d449e4c655d2eb0d76949a8cd41ce88f979 -> trunk/005c3d449e4c655d2eb0d76949a8cd41ce88f979
2025-10-10T00:34:11.1244057Z  * [new tag]                 trunk/00f0365b959323bab89dc0a5bd5d40589e78edc8 -> trunk/00f0365b959323bab89dc0a5bd5d40589e78edc8
2025-10-10T00:34:11.1244639Z  * [new tag]                 trunk/01f3a43462da594b65a6c9e8b46c132cd360cea9 -> trunk/01f3a43462da594b65a6c9e8b46c132cd360cea9
2025-10-10T00:34:11.1245060Z  * [new tag]                 trunk/0319556a35b01e8857f7bf75df9df3287e1e853a -> trunk/0319556a35b01e8857f7bf75df9df3287e1e853a
2025-10-10T00:34:11.1245571Z  * [new tag]                 trunk/054268c9ebb3291c6fd442e4a1f6602a8ea43ab6 -> trunk/054268c9ebb3291c6fd442e4a1f6602a8ea43ab6
2025-10-10T00:34:11.1245998Z  * [new tag]                 trunk/06d86e58d0309aa2c217256f88d1990a22ec6e4f -> trunk/06d86e58d0309aa2c217256f88d1990a22ec6e4f
2025-10-10T00:34:11.1246413Z  * [new tag]                 trunk/078d475d3bb104823e70ce975c2ee0d4d2fb0952 -> trunk/078d475d3bb104823e70ce975c2ee0d4d2fb0952
2025-10-10T00:34:11.1246874Z  * [new tag]                 trunk/086dec3235d463e751c12ce9eeeb2dfcc873e206 -> trunk/086dec3235d463e751c12ce9eeeb2dfcc873e206
2025-10-10T00:34:11.1247600Z  * [new tag]                 trunk/0a3e4e894cbc0cc93568c5d016f3ad72650cf641 -> trunk/0a3e4e894cbc0cc93568c5d016f3ad72650cf641
2025-10-10T00:34:11.1247936Z  * [new tag]                 trunk/0b01ff4de02035eb21c1bc6bf4b1b627bc1cefaa -> trunk/0b01ff4de02035eb21c1bc6bf4b1b627bc1cefaa
2025-10-10T00:34:11.1248370Z  * [new tag]                 trunk/0b15f7ae059cf4fa3909bbb009d83c0253a6385a -> trunk/0b15f7ae059cf4fa3909bbb009d83c0253a6385a
2025-10-10T00:34:11.1248815Z  * [new tag]                 trunk/0b4f2b46d9e14c1858dd3d0ca9b62e349ae316cf -> trunk/0b4f2b46d9e14c1858dd3d0ca9b62e349ae316cf
2025-10-10T00:34:11.1249288Z  * [new tag]                 trunk/0b85236477fe8a0e32510bcc973b2f34ef981df2 -> trunk/0b85236477fe8a0e32510bcc973b2f34ef981df2
2025-10-10T00:34:11.1249661Z  * [new tag]                 trunk/0d39ecb2ce8556e85343d8da0c87450192c2fdf8 -> trunk/0d39ecb2ce8556e85343d8da0c87450192c2fdf8
2025-10-10T00:34:11.1250111Z  * [new tag]                 trunk/0e5773b7fadef9e29b006af470b771fad55b5206 -> trunk/0e5773b7fadef9e29b006af470b771fad55b5206
2025-10-10T00:34:11.1250534Z  * [new tag]                 trunk/0e9b3a772ab96e998ab85591d5b2a9c1d41bacb0 -> trunk/0e9b3a772ab96e998ab85591d5b2a9c1d41bacb0
2025-10-10T00:34:11.1251007Z  * [new tag]                 trunk/0fbe3f19c7e88ee1720d2e1579e3fd2cafdaabf9 -> trunk/0fbe3f19c7e88ee1720d2e1579e3fd2cafdaabf9
2025-10-10T00:34:11.1251519Z  * [new tag]                 trunk/0fd976b65c6daf3799a501d9202e4f50144446d1 -> trunk/0fd976b65c6daf3799a501d9202e4f50144446d1
2025-10-10T00:34:11.1251986Z  * [new tag]                 trunk/1051c1de5c0c1d34bec94c4a3199ac7b23bb19e1 -> trunk/1051c1de5c0c1d34bec94c4a3199ac7b23bb19e1
2025-10-10T00:34:11.1252412Z  * [new tag]                 trunk/115af42e9d57e89c26777be72822107cd7b39e07 -> trunk/115af42e9d57e89c26777be72822107cd7b39e07
2025-10-10T00:34:11.1252884Z  * [new tag]                 trunk/11f5f656867089dac1fa1e64e34c9966578fbddd -> trunk/11f5f656867089dac1fa1e64e34c9966578fbddd
2025-10-10T00:34:11.1253564Z  * [new tag]                 trunk/12d2ef557f6e127100267c31a31572d8ab5cc788 -> trunk/12d2ef557f6e127100267c31a31572d8ab5cc788
2025-10-10T00:34:11.1253900Z  * [new tag]                 trunk/144378615a5a2b347e39c6376cba7d75f7a82926 -> trunk/144378615a5a2b347e39c6376cba7d75f7a82926
2025-10-10T00:34:11.1267685Z  * [new tag]                 trunk/14791ea947349fb5fa7b7d6230cfd3924c36ba27 -> trunk/14791ea947349fb5fa7b7d6230cfd3924c36ba27
2025-10-10T00:34:11.1267960Z  * [new tag]                 trunk/15800888b697bacd555399b3a0ca2e8d0827528e -> trunk/15800888b697bacd555399b3a0ca2e8d0827528e
2025-10-10T00:34:11.1268209Z  * [new tag]                 trunk/15c8bdcc5e3a6dfd14e5c977438f772031e064ff -> trunk/15c8bdcc5e3a6dfd14e5c977438f772031e064ff
2025-10-10T00:34:11.1268426Z  * [new tag]                 trunk/15d726005ddc5558c934c3edd5f815c2e504e501 -> trunk/15d726005ddc5558c934c3edd5f815c2e504e501
2025-10-10T00:34:11.1268632Z  * [new tag]                 trunk/16f9bef642b07b3090a6e4a04517eff84d41a197 -> trunk/16f9bef642b07b3090a6e4a04517eff84d41a197
2025-10-10T00:34:11.1268903Z  * [new tag]                 trunk/17c7170ca6e2efd5ead2b93bd12e226ff48f0669 -> trunk/17c7170ca6e2efd5ead2b93bd12e226ff48f0669
2025-10-10T00:34:11.1269115Z  * [new tag]                 trunk/184817c7a81d5c01e107a84efeb269b063ddf5d6 -> trunk/184817c7a81d5c01e107a84efeb269b063ddf5d6
2025-10-10T00:34:11.1269319Z  * [new tag]                 trunk/18940820006d2304460008575561e2e8e7fc59fc -> trunk/18940820006d2304460008575561e2e8e7fc59fc
2025-10-10T00:34:11.1269528Z  * [new tag]                 trunk/18e18488e8c90e53cc113b1a5eddd9640ee80292 -> trunk/18e18488e8c90e53cc113b1a5eddd9640ee80292
2025-10-10T00:34:11.1269750Z  * [new tag]                 trunk/1927783aa3ad676db6f4c34fc77ef3825a4e2ed5 -> trunk/1927783aa3ad676db6f4c34fc77ef3825a4e2ed5
2025-10-10T00:34:11.1269969Z  * [new tag]                 trunk/19bf67be3286c0e2babe83af0d1593bae850362a -> trunk/19bf67be3286c0e2babe83af0d1593bae850362a
2025-10-10T00:34:11.1270175Z  * [new tag]                 trunk/1bb68271b7ff1b582845384c6c7f7b1593ae1619 -> trunk/1bb68271b7ff1b582845384c6c7f7b1593ae1619
2025-10-10T00:34:11.1270395Z  * [new tag]                 trunk/1d182dd81c3143697337e35d046fd02951dedb09 -> trunk/1d182dd81c3143697337e35d046fd02951dedb09
2025-10-10T00:34:11.1270613Z  * [new tag]                 trunk/1e42fde45eff81845f269e8185f54a19f6d87c5b -> trunk/1e42fde45eff81845f269e8185f54a19f6d87c5b
2025-10-10T00:34:11.1270839Z  * [new tag]                 trunk/1f73b96668bc6ae4c8e7ef5b630ff5f3c69ae005 -> trunk/1f73b96668bc6ae4c8e7ef5b630ff5f3c69ae005
2025-10-10T00:34:11.1271053Z  * [new tag]                 trunk/1f8ee5da117952b03f0050a178d69f8e7189b0f8 -> trunk/1f8ee5da117952b03f0050a178d69f8e7189b0f8
2025-10-10T00:34:11.1271272Z  * [new tag]                 trunk/1f9614cef8e0272c8e3bd99004d2978a6ecc5195 -> trunk/1f9614cef8e0272c8e3bd99004d2978a6ecc5195
2025-10-10T00:34:11.1271489Z  * [new tag]                 trunk/1fb072ac2a33af93a77888dddbdd228b22a3f9c4 -> trunk/1fb072ac2a33af93a77888dddbdd228b22a3f9c4
2025-10-10T00:34:11.1271705Z  * [new tag]                 trunk/1fc71d1b578badb1b3ba7cc2d5795f4f80463749 -> trunk/1fc71d1b578badb1b3ba7cc2d5795f4f80463749
2025-10-10T00:34:11.1271926Z  * [new tag]                 trunk/20082d713666fa1eade588bebd523d86309bfa25 -> trunk/20082d713666fa1eade588bebd523d86309bfa25
2025-10-10T00:34:11.1272135Z  * [new tag]                 trunk/2164b661219ab0a76aa018e955ba3d8e8f99c083 -> trunk/2164b661219ab0a76aa018e955ba3d8e8f99c083
2025-10-10T00:34:11.1272353Z  * [new tag]                 trunk/228973df7f770505aafc6fc17b99f81ac58bdfe1 -> trunk/228973df7f770505aafc6fc17b99f81ac58bdfe1
2025-10-10T00:34:11.1272585Z  * [new tag]                 trunk/22b1710252525d80d47ba95c762ccdbf577b2dc2 -> trunk/22b1710252525d80d47ba95c762ccdbf577b2dc2
2025-10-10T00:34:11.1272806Z  * [new tag]                 trunk/22e219d9969ff3cee85bc5de32fa49d5a549a148 -> trunk/22e219d9969ff3cee85bc5de32fa49d5a549a148
2025-10-10T00:34:11.1273010Z  * [new tag]                 trunk/235b995ce18de632ab816940319fcd66b46039b8 -> trunk/235b995ce18de632ab816940319fcd66b46039b8
2025-10-10T00:34:11.1273228Z  * [new tag]                 trunk/23ab6a45e5c759fb4714905cb8c84ef74c70aa67 -> trunk/23ab6a45e5c759fb4714905cb8c84ef74c70aa67
2025-10-10T00:34:11.1273441Z  * [new tag]                 trunk/24d69c57cbaa94cc828dbbdf83c889f5f244ae28 -> trunk/24d69c57cbaa94cc828dbbdf83c889f5f244ae28
2025-10-10T00:34:11.1273648Z  * [new tag]                 trunk/263db92563f0ae71bf3e4fc265fbb48e79f9f23f -> trunk/263db92563f0ae71bf3e4fc265fbb48e79f9f23f
2025-10-10T00:34:11.1273869Z  * [new tag]                 trunk/27234792add2ee9bedd84ca02dbf34f8f244bc5c -> trunk/27234792add2ee9bedd84ca02dbf34f8f244bc5c
2025-10-10T00:34:11.1274079Z  * [new tag]                 trunk/27eb36debbe3fa2d43a2f893a5c46a6257a09460 -> trunk/27eb36debbe3fa2d43a2f893a5c46a6257a09460
2025-10-10T00:34:11.1274337Z  * [new tag]                 trunk/2855a045b30dafad7a08d66e242be13770189c19 -> trunk/2855a045b30dafad7a08d66e242be13770189c19
2025-10-10T00:34:11.1274544Z  * [new tag]                 trunk/2883b5ab773daf5861d43ff0b65be49a441ab3f9 -> trunk/2883b5ab773daf5861d43ff0b65be49a441ab3f9
2025-10-10T00:34:11.1274780Z  * [new tag]                 trunk/29824067215f3ed9e4044ca0f31a71e9d95f237d -> trunk/29824067215f3ed9e4044ca0f31a71e9d95f237d
2025-10-10T00:34:11.1274990Z  * [new tag]                 trunk/2a11ce2c787b2339ffb8941b849dd487d25b4121 -> trunk/2a11ce2c787b2339ffb8941b849dd487d25b4121
2025-10-10T00:34:11.1275209Z  * [new tag]                 trunk/2a6cdba6e5f74c2294fecc2d1344537522efbaab -> trunk/2a6cdba6e5f74c2294fecc2d1344537522efbaab
2025-10-10T00:34:11.1275417Z  * [new tag]                 trunk/2a760dc51e04d65845440cc09e7016cfc74f9132 -> trunk/2a760dc51e04d65845440cc09e7016cfc74f9132
2025-10-10T00:34:11.1275616Z  * [new tag]                 trunk/2a7c48675010056f23d62b5c6ecb318782801723 -> trunk/2a7c48675010056f23d62b5c6ecb318782801723
2025-10-10T00:34:11.1275835Z  * [new tag]                 trunk/2b58adc3bdcf9476e1cef49ad965b7d3c7b9ac24 -> trunk/2b58adc3bdcf9476e1cef49ad965b7d3c7b9ac24
2025-10-10T00:34:11.1276041Z  * [new tag]                 trunk/2b9ff9953523a2e916234c9197d946f4cff976c7 -> trunk/2b9ff9953523a2e916234c9197d946f4cff976c7
2025-10-10T00:34:11.1276261Z  * [new tag]                 trunk/2c2e1268b7aae8ed610d12f2d38d39f8d93888a3 -> trunk/2c2e1268b7aae8ed610d12f2d38d39f8d93888a3
2025-10-10T00:34:11.1276472Z  * [new tag]                 trunk/2c5ed6e7c067573b093725cd15d13812d9647562 -> trunk/2c5ed6e7c067573b093725cd15d13812d9647562
2025-10-10T00:34:11.1276695Z  * [new tag]                 trunk/2d50678dcc7ab2da13a9bca6af8f2333e8970344 -> trunk/2d50678dcc7ab2da13a9bca6af8f2333e8970344
2025-10-10T00:34:11.1276904Z  * [new tag]                 trunk/2e027e874232fefe7b1c56ce8aeb26c0e6b97f15 -> trunk/2e027e874232fefe7b1c56ce8aeb26c0e6b97f15
2025-10-10T00:34:11.1277136Z  * [new tag]                 trunk/2e1742dd63c2168fd9649dbba96a95abf1f57cae -> trunk/2e1742dd63c2168fd9649dbba96a95abf1f57cae
2025-10-10T00:34:11.1277341Z  * [new tag]                 trunk/2fe37b5fde392535a3238f975c93dd202cd3e24b -> trunk/2fe37b5fde392535a3238f975c93dd202cd3e24b
2025-10-10T00:34:11.1277543Z  * [new tag]                 trunk/3040a5d294bd30d3938d0043a5d93d6c23264827 -> trunk/3040a5d294bd30d3938d0043a5d93d6c23264827
2025-10-10T00:34:11.1277749Z  * [new tag]                 trunk/321e6026925f6b6e8a36e3a8b7c0295cd7541911 -> trunk/321e6026925f6b6e8a36e3a8b7c0295cd7541911
2025-10-10T00:34:11.1277950Z  * [new tag]                 trunk/322091d8d8542a0cbff524306029bef4d7338747 -> trunk/322091d8d8542a0cbff524306029bef4d7338747
2025-10-10T00:34:11.1278206Z  * [new tag]                 trunk/3288fbf374128610928e27d03615ac0d46a6ce14 -> trunk/3288fbf374128610928e27d03615ac0d46a6ce14
2025-10-10T00:34:11.1278418Z  * [new tag]                 trunk/331191ce4b29b5d7d3bb7f0e7454ca70c06fbd26 -> trunk/331191ce4b29b5d7d3bb7f0e7454ca70c06fbd26
2025-10-10T00:34:11.1278634Z  * [new tag]                 trunk/33b17bc619b044a0050797987efb8890d43319df -> trunk/33b17bc619b044a0050797987efb8890d43319df
2025-10-10T00:34:11.1278842Z  * [new tag]                 trunk/34042a9145fe28033e7edb08f1fcf90ed197f4ac -> trunk/34042a9145fe28033e7edb08f1fcf90ed197f4ac
2025-10-10T00:34:11.1279057Z  * [new tag]                 trunk/344e6365a0068c2d2847fcec0c55dd53291d475e -> trunk/344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:34:11.1279268Z  * [new tag]                 trunk/34ac9b61cbfcf17328ccb8b729509829447fdddd -> trunk/34ac9b61cbfcf17328ccb8b729509829447fdddd
2025-10-10T00:34:11.1279476Z  * [new tag]                 trunk/35c4130fd1358c98e12301ffa0f1b2294e0c795f -> trunk/35c4130fd1358c98e12301ffa0f1b2294e0c795f
2025-10-10T00:34:11.1279706Z  * [new tag]                 trunk/35f66b83f89a571d0c0abe16c66a23120b92bdaf -> trunk/35f66b83f89a571d0c0abe16c66a23120b92bdaf
2025-10-10T00:34:11.1280363Z  * [new tag]                 trunk/361c5d362c4ea1950e05116899cfcf753c345ebd -> trunk/361c5d362c4ea1950e05116899cfcf753c345ebd
2025-10-10T00:34:11.1280794Z  * [new tag]                 trunk/37c6087334cce3ad4bc9838ea2ef63aba89f2253 -> trunk/37c6087334cce3ad4bc9838ea2ef63aba89f2253
2025-10-10T00:34:11.1281239Z  * [new tag]                 trunk/3912ba3e940b9354622fa09b2ada677cd10723d8 -> trunk/3912ba3e940b9354622fa09b2ada677cd10723d8
2025-10-10T00:34:11.1281645Z  * [new tag]                 trunk/39189592fd688979e56063430ed5a038d999908f -> trunk/39189592fd688979e56063430ed5a038d999908f
2025-10-10T00:34:11.1282095Z  * [new tag]                 trunk/3924f784ba81f87fe09988d6fc9620b57e4d9f72 -> trunk/3924f784ba81f87fe09988d6fc9620b57e4d9f72
2025-10-10T00:34:11.1282557Z  * [new tag]                 trunk/39b31a6bfde6e046383ae2b06fe0b68df5cdbdd2 -> trunk/39b31a6bfde6e046383ae2b06fe0b68df5cdbdd2
2025-10-10T00:34:11.1283065Z  * [new tag]                 trunk/39c340ec9e2ee3011f1d260f581b5a95f3c99039 -> trunk/39c340ec9e2ee3011f1d260f581b5a95f3c99039
2025-10-10T00:34:11.1283346Z  * [new tag]                 trunk/39d0c06ed0d7bc634d7f1a4e84b69f66d1ea0798 -> trunk/39d0c06ed0d7bc634d7f1a4e84b69f66d1ea0798
2025-10-10T00:34:11.1283837Z  * [new tag]                 trunk/3c0577bd15778c96cecf0e7a5e5958d7fcab64f0 -> trunk/3c0577bd15778c96cecf0e7a5e5958d7fcab64f0
2025-10-10T00:34:11.1284286Z  * [new tag]                 trunk/3c59351c6ea2fc29d346903e28e95c5f4d0ccdbb -> trunk/3c59351c6ea2fc29d346903e28e95c5f4d0ccdbb
2025-10-10T00:34:11.1284728Z  * [new tag]                 trunk/3c5ca685d6f5b6f3971c0cd20a054aa355610419 -> trunk/3c5ca685d6f5b6f3971c0cd20a054aa355610419
2025-10-10T00:34:11.1285186Z  * [new tag]                 trunk/3ca09d65f1bdf83142dc9fe47976227ae4a88e7b -> trunk/3ca09d65f1bdf83142dc9fe47976227ae4a88e7b
2025-10-10T00:34:11.1286011Z  * [new tag]                 trunk/3cc8af2d67f42bf2a933796290446c5ab8978aac -> trunk/3cc8af2d67f42bf2a933796290446c5ab8978aac
2025-10-10T00:34:11.1286353Z  * [new tag]                 trunk/3d1fa40ae1fee18ddf3dca89229e3ae828589e0c -> trunk/3d1fa40ae1fee18ddf3dca89229e3ae828589e0c
2025-10-10T00:34:11.1286805Z  * [new tag]                 trunk/3d9d41c80168bcd3c569345a96682c42a5eba36a -> trunk/3d9d41c80168bcd3c569345a96682c42a5eba36a
2025-10-10T00:34:11.1287244Z  * [new tag]                 trunk/3db21643417a04f6f2707a783ac32a538a98d53d -> trunk/3db21643417a04f6f2707a783ac32a538a98d53d
2025-10-10T00:34:11.1287681Z  * [new tag]                 trunk/3ddf2018d0b7b4def0553dc092d928ef831a19c3 -> trunk/3ddf2018d0b7b4def0553dc092d928ef831a19c3
2025-10-10T00:34:11.1288099Z  * [new tag]                 trunk/3e03deab6f3c268c85c8efd9546e28cdda0fa4cc -> trunk/3e03deab6f3c268c85c8efd9546e28cdda0fa4cc
2025-10-10T00:34:11.1288955Z  * [new tag]                 trunk/3e0826c9d792ae87373dc0ff5d46c260020de29f -> trunk/3e0826c9d792ae87373dc0ff5d46c260020de29f
2025-10-10T00:34:11.1289464Z  * [new tag]                 trunk/409aece3f9436a2f740f1b97f1243f738f6bbbf6 -> trunk/409aece3f9436a2f740f1b97f1243f738f6bbbf6
2025-10-10T00:34:11.1289772Z  * [new tag]                 trunk/40b25578e4ecb7ef1c38201b3ce0014eb57c53eb -> trunk/40b25578e4ecb7ef1c38201b3ce0014eb57c53eb
2025-10-10T00:34:11.1290101Z  * [new tag]                 trunk/412c6d28ec3869ef8ba962b290d755251e7cc3c1 -> trunk/412c6d28ec3869ef8ba962b290d755251e7cc3c1
2025-10-10T00:34:11.1290461Z  * [new tag]                 trunk/415e641572473479fc9d9eaea12762e1a223a9e0 -> trunk/415e641572473479fc9d9eaea12762e1a223a9e0
2025-10-10T00:34:11.1290899Z  * [new tag]                 trunk/41808b2ba9a61ab2f4c7af394c1668d09a4a0331 -> trunk/41808b2ba9a61ab2f4c7af394c1668d09a4a0331
2025-10-10T00:34:11.1291389Z  * [new tag]                 trunk/4308b8a28fa332d23ad6d25a472559b354619131 -> trunk/4308b8a28fa332d23ad6d25a472559b354619131
2025-10-10T00:34:11.1291766Z  * [new tag]                 trunk/43848b71d9af0223eafdd1755bf7444aafe9e993 -> trunk/43848b71d9af0223eafdd1755bf7444aafe9e993
2025-10-10T00:34:11.1292243Z  * [new tag]                 trunk/43fc859625f9c0a794307b3ef30c26ab3fc2bfec -> trunk/43fc859625f9c0a794307b3ef30c26ab3fc2bfec
2025-10-10T00:34:11.1292740Z  * [new tag]                 trunk/4412026949b562f940d4c24162de19d299725b62 -> trunk/4412026949b562f940d4c24162de19d299725b62
2025-10-10T00:34:11.1293440Z  * [new tag]                 trunk/44a5d419935a77b3308f247279a457e6d0b9a292 -> trunk/44a5d419935a77b3308f247279a457e6d0b9a292
2025-10-10T00:34:11.1294427Z  * [new tag]                 trunk/4661200125ba9c87aa7d54a55e585403b5ce5040 -> trunk/4661200125ba9c87aa7d54a55e585403b5ce5040
2025-10-10T00:34:11.1294656Z  * [new tag]                 trunk/4691fe60700ac51a878775fd23a8f7c4548c6757 -> trunk/4691fe60700ac51a878775fd23a8f7c4548c6757
2025-10-10T00:34:11.1294881Z  * [new tag]                 trunk/4725871a815fb880e89135a493c8c94ab9bbfece -> trunk/4725871a815fb880e89135a493c8c94ab9bbfece
2025-10-10T00:34:11.1295828Z  * [new tag]                 trunk/47956196d99166fe9083beb2a52fd2e6c90b2011 -> trunk/47956196d99166fe9083beb2a52fd2e6c90b2011
2025-10-10T00:34:11.1296328Z  * [new tag]                 trunk/483f4e0db91166128ad8922d86dc7222338d4ecc -> trunk/483f4e0db91166128ad8922d86dc7222338d4ecc
2025-10-10T00:34:11.1296571Z  * [new tag]                 trunk/48b54b45d62af7ecafccc5afede04474cb236f1a -> trunk/48b54b45d62af7ecafccc5afede04474cb236f1a
2025-10-10T00:34:11.1296929Z  * [new tag]                 trunk/49f7d8d19d24f616b11ef050535a211245aed649 -> trunk/49f7d8d19d24f616b11ef050535a211245aed649
2025-10-10T00:34:11.1297384Z  * [new tag]                 trunk/4a0df39f814afad087e8b29dd2914a8b54567694 -> trunk/4a0df39f814afad087e8b29dd2914a8b54567694
2025-10-10T00:34:11.1297611Z  * [new tag]                 trunk/4a6abba0d9fb3dc0f29b5efe527e26b2962caec1 -> trunk/4a6abba0d9fb3dc0f29b5efe527e26b2962caec1
2025-10-10T00:34:11.1298003Z  * [new tag]                 trunk/4ab847bbc7ba09f29a4e81494e8a752dcb411117 -> trunk/4ab847bbc7ba09f29a4e81494e8a752dcb411117
2025-10-10T00:34:11.1298390Z  * [new tag]                 trunk/4bcc05777e780e834d44a2d06dd5321daec316f0 -> trunk/4bcc05777e780e834d44a2d06dd5321daec316f0
2025-10-10T00:34:11.1298815Z  * [new tag]                 trunk/4bd1505f849e701a8e54f9d185c23f13e7324498 -> trunk/4bd1505f849e701a8e54f9d185c23f13e7324498
2025-10-10T00:34:11.1299217Z  * [new tag]                 trunk/4c0fec3e4dac35b9e9dec2beacfb5967906a4701 -> trunk/4c0fec3e4dac35b9e9dec2beacfb5967906a4701
2025-10-10T00:34:11.1299668Z  * [new tag]                 trunk/4c3c0ef2f10415f5d5b13f1c842f91bb90ee91d3 -> trunk/4c3c0ef2f10415f5d5b13f1c842f91bb90ee91d3
2025-10-10T00:34:11.1300108Z  * [new tag]                 trunk/4d7f9f3aed68729380730ed46e29ff2052f05b73 -> trunk/4d7f9f3aed68729380730ed46e29ff2052f05b73
2025-10-10T00:34:11.1300640Z  * [new tag]                 trunk/50e077beaaf71798f870552f3849e4a52c784df5 -> trunk/50e077beaaf71798f870552f3849e4a52c784df5
2025-10-10T00:34:11.1301125Z  * [new tag]                 trunk/5103ecc5d8f0cc90e686763652e2d84c22d83ca9 -> trunk/5103ecc5d8f0cc90e686763652e2d84c22d83ca9
2025-10-10T00:34:11.1301632Z  * [new tag]                 trunk/5178d0a480f8f4e21da3757de455c8215b249ec5 -> trunk/5178d0a480f8f4e21da3757de455c8215b249ec5
2025-10-10T00:34:11.1302188Z  * [new tag]                 trunk/5209c8ce0704f34ba4bd2a58c19877fbf6cf0392 -> trunk/5209c8ce0704f34ba4bd2a58c19877fbf6cf0392
2025-10-10T00:34:11.1302661Z  * [new tag]                 trunk/5390324984c43f1214b8abf731ad495ba2df5341 -> trunk/5390324984c43f1214b8abf731ad495ba2df5341
2025-10-10T00:34:11.1303159Z  * [new tag]                 trunk/53f5af8c924aba3c0fab1fabc6baf7d6affcb8a1 -> trunk/53f5af8c924aba3c0fab1fabc6baf7d6affcb8a1
2025-10-10T00:34:11.1303602Z  * [new tag]                 trunk/54ae61c573e91fa2a2c6430435059e2d94ecba2e -> trunk/54ae61c573e91fa2a2c6430435059e2d94ecba2e
2025-10-10T00:34:11.1304090Z  * [new tag]                 trunk/5656d45c8ff03cf20fd7d5098247c2250395af8a -> trunk/5656d45c8ff03cf20fd7d5098247c2250395af8a
2025-10-10T00:34:11.1304541Z  * [new tag]                 trunk/56d66ac0d74f44d7b656757795142b5b9a1802a1 -> trunk/56d66ac0d74f44d7b656757795142b5b9a1802a1
2025-10-10T00:34:11.1304993Z  * [new tag]                 trunk/5743d731c1de495ecf3bb03682a2dcbe207ca895 -> trunk/5743d731c1de495ecf3bb03682a2dcbe207ca895
2025-10-10T00:34:11.1305433Z  * [new tag]                 trunk/5a1fbf45ad727353e367740ecd8825ca7ee857e9 -> trunk/5a1fbf45ad727353e367740ecd8825ca7ee857e9
2025-10-10T00:34:11.1305937Z  * [new tag]                 trunk/5a66ff4915ecfd86f1a68e7862e5a2ad473e5a79 -> trunk/5a66ff4915ecfd86f1a68e7862e5a2ad473e5a79
2025-10-10T00:34:11.1306323Z  * [new tag]                 trunk/5b0b4cda4aa03bee16ee67d9d36012a539df3c50 -> trunk/5b0b4cda4aa03bee16ee67d9d36012a539df3c50
2025-10-10T00:34:11.1306783Z  * [new tag]                 trunk/5b8174bc286725f9326fba6dc0ef17c316486bbd -> trunk/5b8174bc286725f9326fba6dc0ef17c316486bbd
2025-10-10T00:34:11.1307250Z  * [new tag]                 trunk/5ba11df4f871717818b88c4eab514d31286601d1 -> trunk/5ba11df4f871717818b88c4eab514d31286601d1
2025-10-10T00:34:11.1307876Z  * [new tag]                 trunk/5c827a4133da69108338d0363bb7ad7f62803c40 -> trunk/5c827a4133da69108338d0363bb7ad7f62803c40
2025-10-10T00:34:11.1308300Z  * [new tag]                 trunk/5d459dd6099ef94d33db9a6d36bcce9f742f1da1 -> trunk/5d459dd6099ef94d33db9a6d36bcce9f742f1da1
2025-10-10T00:34:11.1308643Z  * [new tag]                 trunk/5d7360bb03355c89c0b956df0ab428f5a7b5c9f8 -> trunk/5d7360bb03355c89c0b956df0ab428f5a7b5c9f8
2025-10-10T00:34:11.1309566Z  * [new tag]                 trunk/5dbae1eae26159058f6199fc68fe73fc0e5bef5f -> trunk/5dbae1eae26159058f6199fc68fe73fc0e5bef5f
2025-10-10T00:34:11.1310053Z  * [new tag]                 trunk/5e47b4dd60ff9efb253286af5a2479d9d800ce6a -> trunk/5e47b4dd60ff9efb253286af5a2479d9d800ce6a
2025-10-10T00:34:11.1310376Z  * [new tag]                 trunk/5ed4270440fd0b62d3aa14692f9e377a0061061e -> trunk/5ed4270440fd0b62d3aa14692f9e377a0061061e
2025-10-10T00:34:11.1310842Z  * [new tag]                 trunk/5f18f240de43fc24481ead4d740dda64f174fa86 -> trunk/5f18f240de43fc24481ead4d740dda64f174fa86
2025-10-10T00:34:11.1311299Z  * [new tag]                 trunk/5f775bdfb766d9a2717ffbb64f2a51e53cddc778 -> trunk/5f775bdfb766d9a2717ffbb64f2a51e53cddc778
2025-10-10T00:34:11.1311637Z  * [new tag]                 trunk/600267ea56cafcf8f9a1150a4379184960a757b2 -> trunk/600267ea56cafcf8f9a1150a4379184960a757b2
2025-10-10T00:34:11.1312130Z  * [new tag]                 trunk/600db525bdb5e76c12f30f271d969d43a7f8efef -> trunk/600db525bdb5e76c12f30f271d969d43a7f8efef
2025-10-10T00:34:11.1312805Z  * [new tag]                 trunk/608792153f42254d2d2b5a87d524807a0c2724f1 -> trunk/608792153f42254d2d2b5a87d524807a0c2724f1
2025-10-10T00:34:11.1313160Z  * [new tag]                 trunk/6389658ec6b1ea58cb1de032266d865eeb8d48e9 -> trunk/6389658ec6b1ea58cb1de032266d865eeb8d48e9
2025-10-10T00:34:11.1313650Z  * [new tag]                 trunk/64108bdbed2f099d527060b4c9fdd5a11cad2afc -> trunk/64108bdbed2f099d527060b4c9fdd5a11cad2afc
2025-10-10T00:34:11.1314045Z  * [new tag]                 trunk/65aa62d50d1c83aa1b46ed4d584f12f509bab1c4 -> trunk/65aa62d50d1c83aa1b46ed4d584f12f509bab1c4
2025-10-10T00:34:11.1314534Z  * [new tag]                 trunk/65f10becdf21f3a0947a735904fcce876ce3c4b0 -> trunk/65f10becdf21f3a0947a735904fcce876ce3c4b0
2025-10-10T00:34:11.1315002Z  * [new tag]                 trunk/660e369a68dd8be60ce4eb67c25191ea66efc303 -> trunk/660e369a68dd8be60ce4eb67c25191ea66efc303
2025-10-10T00:34:11.1315534Z  * [new tag]                 trunk/68350660ee2db8c21c84527929b92de9f0bcc3e2 -> trunk/68350660ee2db8c21c84527929b92de9f0bcc3e2
2025-10-10T00:34:11.1316039Z  * [new tag]                 trunk/6861a270624b44954826688f8dad668eb0154452 -> trunk/6861a270624b44954826688f8dad668eb0154452
2025-10-10T00:34:11.1316528Z  * [new tag]                 trunk/6861fa43e5fee7fedc0213e352fa983edea8aa78 -> trunk/6861fa43e5fee7fedc0213e352fa983edea8aa78
2025-10-10T00:34:11.1316992Z  * [new tag]                 trunk/688efd9741dbd18c176729aec3df7a73825f8463 -> trunk/688efd9741dbd18c176729aec3df7a73825f8463
2025-10-10T00:34:11.1317450Z  * [new tag]                 trunk/6a09f9306cadd003b2e6abc3f6422a2d8607779b -> trunk/6a09f9306cadd003b2e6abc3f6422a2d8607779b
2025-10-10T00:34:11.1318159Z  * [new tag]                 trunk/6a31f42da45c0f1cbdb021b3695f0e6388b8b532 -> trunk/6a31f42da45c0f1cbdb021b3695f0e6388b8b532
2025-10-10T00:34:11.1318616Z  * [new tag]                 trunk/6a7f5c0d21a22959d014c8b06f3efe3408336aaf -> trunk/6a7f5c0d21a22959d014c8b06f3efe3408336aaf
2025-10-10T00:34:11.1319556Z  * [new tag]                 trunk/6b768e1890a179122e91395c5532a382d69b96a0 -> trunk/6b768e1890a179122e91395c5532a382d69b96a0
2025-10-10T00:34:11.1319945Z  * [new tag]                 trunk/6b7970192f5de47d29a4fe085f509389ac0bea7d -> trunk/6b7970192f5de47d29a4fe085f509389ac0bea7d
2025-10-10T00:34:11.1320440Z  * [new tag]                 trunk/6bb021c12553755a4f64df0b60dc34b1efdb992b -> trunk/6bb021c12553755a4f64df0b60dc34b1efdb992b
2025-10-10T00:34:11.1320903Z  * [new tag]                 trunk/6bb586eafd723d4972c729f37c14f27c88168adc -> trunk/6bb586eafd723d4972c729f37c14f27c88168adc
2025-10-10T00:34:11.1321374Z  * [new tag]                 trunk/6c0125dbc0241aef962528651df4f67204a8b526 -> trunk/6c0125dbc0241aef962528651df4f67204a8b526
2025-10-10T00:34:11.1321789Z  * [new tag]                 trunk/6c209bfc5c1e1e59e6a62f94151398d66164bb93 -> trunk/6c209bfc5c1e1e59e6a62f94151398d66164bb93
2025-10-10T00:34:11.1322471Z  * [new tag]                 trunk/6c3c9414eb571b34ff0d932978e4733dbb08dc1d -> trunk/6c3c9414eb571b34ff0d932978e4733dbb08dc1d
2025-10-10T00:34:11.1322854Z  * [new tag]                 trunk/6d27a8e5093ee2a21d44dceeeffcb272e6e0f655 -> trunk/6d27a8e5093ee2a21d44dceeeffcb272e6e0f655
2025-10-10T00:34:11.1323323Z  * [new tag]                 trunk/702f6e703b1d3a942346848b65a9f2a37d12ae18 -> trunk/702f6e703b1d3a942346848b65a9f2a37d12ae18
2025-10-10T00:34:11.1323840Z  * [new tag]                 trunk/7158aa22e8dc97fdc2657cf0d4cde34b277e7d9e -> trunk/7158aa22e8dc97fdc2657cf0d4cde34b277e7d9e
2025-10-10T00:34:11.1324320Z  * [new tag]                 trunk/71aefd5595834dd97f38aa978ee32abbd13ac3d6 -> trunk/71aefd5595834dd97f38aa978ee32abbd13ac3d6
2025-10-10T00:34:11.1324787Z  * [new tag]                 trunk/724463d5a2fba369cd14e89215b84d1b01435df7 -> trunk/724463d5a2fba369cd14e89215b84d1b01435df7
2025-10-10T00:34:11.1325145Z  * [new tag]                 trunk/73adac05d13babb75410c3e033fdce57aa16881a -> trunk/73adac05d13babb75410c3e033fdce57aa16881a
2025-10-10T00:34:11.1325674Z  * [new tag]                 trunk/7457d139c51124e5a31a6173f99f81f0deb52178 -> trunk/7457d139c51124e5a31a6173f99f81f0deb52178
2025-10-10T00:34:11.1326150Z  * [new tag]                 trunk/746fe78ecd52f3e9cfddda41f0ac82dada7bdd0b -> trunk/746fe78ecd52f3e9cfddda41f0ac82dada7bdd0b
2025-10-10T00:34:11.1326551Z  * [new tag]                 trunk/7617b113ad0045cdfe5cf1feb8efb634a41c6ce2 -> trunk/7617b113ad0045cdfe5cf1feb8efb634a41c6ce2
2025-10-10T00:34:11.1327006Z  * [new tag]                 trunk/7a1ead755f2e2abe8be49a7a0fb88b6b13973147 -> trunk/7a1ead755f2e2abe8be49a7a0fb88b6b13973147
2025-10-10T00:34:11.1327454Z  * [new tag]                 trunk/7b15534434aeaf59a4c9189f52b4ebd4a5d58803 -> trunk/7b15534434aeaf59a4c9189f52b4ebd4a5d58803
2025-10-10T00:34:11.1327948Z  * [new tag]                 trunk/7b691546d2949790ffc8f6bd3c674faa6a46ff7c -> trunk/7b691546d2949790ffc8f6bd3c674faa6a46ff7c
2025-10-10T00:34:11.1328444Z  * [new tag]                 trunk/7cfecd76b2141d81c90d722dc5e3262bdf7ea900 -> trunk/7cfecd76b2141d81c90d722dc5e3262bdf7ea900
2025-10-10T00:34:11.1328859Z  * [new tag]                 trunk/7d570129e0cea8dd3de0175baff96723656ab8ab -> trunk/7d570129e0cea8dd3de0175baff96723656ab8ab
2025-10-10T00:34:11.1329336Z  * [new tag]                 trunk/7e7ac2039d5d5f35373c4de6cdf0ccdee3734c7a -> trunk/7e7ac2039d5d5f35373c4de6cdf0ccdee3734c7a
2025-10-10T00:34:11.1329711Z  * [new tag]                 trunk/7eb1eb4313cfa3db1beadc6d9d04ea6b76acc39c -> trunk/7eb1eb4313cfa3db1beadc6d9d04ea6b76acc39c
2025-10-10T00:34:11.1330114Z  * [new tag]                 trunk/801e282f39e9ef4424dfd3ecfd2b550a44595229 -> trunk/801e282f39e9ef4424dfd3ecfd2b550a44595229
2025-10-10T00:34:11.1330586Z  * [new tag]                 trunk/81994b08a078b30e076d408713f78c9bf4e329e7 -> trunk/81994b08a078b30e076d408713f78c9bf4e329e7
2025-10-10T00:34:11.1330943Z  * [new tag]                 trunk/81dbeb06f4b3eb6c56625ec25d377eb7c7c6c573 -> trunk/81dbeb06f4b3eb6c56625ec25d377eb7c7c6c573
2025-10-10T00:34:11.1331531Z  * [new tag]                 trunk/83458197d14921f797565135f0f45031c362338d -> trunk/83458197d14921f797565135f0f45031c362338d
2025-10-10T00:34:11.1331974Z  * [new tag]                 trunk/83d71dfb2fd993a6242372b8123549acaa85ffdb -> trunk/83d71dfb2fd993a6242372b8123549acaa85ffdb
2025-10-10T00:34:11.1332409Z  * [new tag]                 trunk/86474ce996d168b404592cbbdfcc30d6607c8bd4 -> trunk/86474ce996d168b404592cbbdfcc30d6607c8bd4
2025-10-10T00:34:11.1332880Z  * [new tag]                 trunk/86c789849eac1f96d03cf273e7995dbc7d319c26 -> trunk/86c789849eac1f96d03cf273e7995dbc7d319c26
2025-10-10T00:34:11.1333663Z  * [new tag]                 trunk/874efa2d72d83b00894097130f18062ce331a265 -> trunk/874efa2d72d83b00894097130f18062ce331a265
2025-10-10T00:34:11.1333931Z  * [new tag]                 trunk/87c9fbda22c229d4e5512011e050efd6ffea1241 -> trunk/87c9fbda22c229d4e5512011e050efd6ffea1241
2025-10-10T00:34:11.1334335Z  * [new tag]                 trunk/87eccf10e8484c9e59ef81ae7bdee68d3db4f605 -> trunk/87eccf10e8484c9e59ef81ae7bdee68d3db4f605
2025-10-10T00:34:11.1334829Z  * [new tag]                 trunk/8c0bc879b97bc580aaa0777b2d266bdd068cb528 -> trunk/8c0bc879b97bc580aaa0777b2d266bdd068cb528
2025-10-10T00:34:11.1335309Z  * [new tag]                 trunk/8c54101933bb7c6ed3f9c1a65629b7f30376f7e2 -> trunk/8c54101933bb7c6ed3f9c1a65629b7f30376f7e2
2025-10-10T00:34:11.1336037Z  * [new tag]                 trunk/8ca986ee60febce075f9e3ff83726048cebbbf68 -> trunk/8ca986ee60febce075f9e3ff83726048cebbbf68
2025-10-10T00:34:11.1336387Z  * [new tag]                 trunk/8d53d788fefc0370931063d91f0c342556c3cf4c -> trunk/8d53d788fefc0370931063d91f0c342556c3cf4c
2025-10-10T00:34:11.1337456Z  * [new tag]                 trunk/8e1f409b8ccf64b2cf3933ece13587ad57e9d8a9 -> trunk/8e1f409b8ccf64b2cf3933ece13587ad57e9d8a9
2025-10-10T00:34:11.1337919Z  * [new tag]                 trunk/8ec8c14aced9f3e7ff4ab663822bed792d6c34f4 -> trunk/8ec8c14aced9f3e7ff4ab663822bed792d6c34f4
2025-10-10T00:34:11.1338291Z  * [new tag]                 trunk/8f54e27e5decf41222f5d744069eb6572dbf275f -> trunk/8f54e27e5decf41222f5d744069eb6572dbf275f
2025-10-10T00:34:11.1338973Z  * [new tag]                 trunk/8f705d019a64b1ca882e043b3eb98559273a9e59 -> trunk/8f705d019a64b1ca882e043b3eb98559273a9e59
2025-10-10T00:34:11.1339485Z  * [new tag]                 trunk/8f83b3e71cb2af6244971af59bfbb6e2abb55f24 -> trunk/8f83b3e71cb2af6244971af59bfbb6e2abb55f24
2025-10-10T00:34:11.1339982Z  * [new tag]                 trunk/90b4e130d6871bee4e1f15bb8294c1bbbf8f4ba5 -> trunk/90b4e130d6871bee4e1f15bb8294c1bbbf8f4ba5
2025-10-10T00:34:11.1340361Z  * [new tag]                 trunk/90c0825e2deb0a46faf5cc2deb7184f6f8ea7a6d -> trunk/90c0825e2deb0a46faf5cc2deb7184f6f8ea7a6d
2025-10-10T00:34:11.1340784Z  * [new tag]                 trunk/91040f49348646d79c6cd3434c34860d25c2e47a -> trunk/91040f49348646d79c6cd3434c34860d25c2e47a
2025-10-10T00:34:11.1341187Z  * [new tag]                 trunk/91b94842645c1a781ab169b0df718545901ebb01 -> trunk/91b94842645c1a781ab169b0df718545901ebb01
2025-10-10T00:34:11.1341676Z  * [new tag]                 trunk/91c211fb8c8ec3065be2a18dfc399ce849ea83bf -> trunk/91c211fb8c8ec3065be2a18dfc399ce849ea83bf
2025-10-10T00:34:11.1342109Z  * [new tag]                 trunk/91c4db76cbb82dfa46d937b8dce4c942eaf5e226 -> trunk/91c4db76cbb82dfa46d937b8dce4c942eaf5e226
2025-10-10T00:34:11.1342619Z  * [new tag]                 trunk/93e833de0f987f66d8c93b76ffe6aad35b714231 -> trunk/93e833de0f987f66d8c93b76ffe6aad35b714231
2025-10-10T00:34:11.1343081Z  * [new tag]                 trunk/94b1ec8c7c5cc63541325abc923973f2fc2ad094 -> trunk/94b1ec8c7c5cc63541325abc923973f2fc2ad094
2025-10-10T00:34:11.1343593Z  * [new tag]                 trunk/955f21dc2c628e09e0d112b3db1ee928cd1da344 -> trunk/955f21dc2c628e09e0d112b3db1ee928cd1da344
2025-10-10T00:34:11.1344109Z  * [new tag]                 trunk/9580539e2f73d68e89544c713ff460bea3038701 -> trunk/9580539e2f73d68e89544c713ff460bea3038701
2025-10-10T00:34:11.1344606Z  * [new tag]                 trunk/95a053284cd28e8d52bd55049bd45aea47adba0c -> trunk/95a053284cd28e8d52bd55049bd45aea47adba0c
2025-10-10T00:34:11.1345126Z  * [new tag]                 trunk/960c4b9937251da01ea588efff0fc06a34eac35b -> trunk/960c4b9937251da01ea588efff0fc06a34eac35b
2025-10-10T00:34:11.1345477Z  * [new tag]                 trunk/96181d6f7619acf938dc743123326c6b5dd25284 -> trunk/96181d6f7619acf938dc743123326c6b5dd25284
2025-10-10T00:34:11.1346003Z  * [new tag]                 trunk/9697a7ce9ea095e933658cfee13f9bbef272551a -> trunk/9697a7ce9ea095e933658cfee13f9bbef272551a
2025-10-10T00:34:11.1346479Z  * [new tag]                 trunk/96d91da792d4b50930318ecdfb8b5b8190c467cd -> trunk/96d91da792d4b50930318ecdfb8b5b8190c467cd
2025-10-10T00:34:11.1346978Z  * [new tag]                 trunk/97463d4cf3c125557ef23502772b12a67dac4dc7 -> trunk/97463d4cf3c125557ef23502772b12a67dac4dc7
2025-10-10T00:34:11.1347488Z  * [new tag]                 trunk/97ca21106d0179f425fc752ec867fe11669c2834 -> trunk/97ca21106d0179f425fc752ec867fe11669c2834
2025-10-10T00:34:11.1347971Z  * [new tag]                 trunk/98a081a24c22072362dc536afd39a469e28939d4 -> trunk/98a081a24c22072362dc536afd39a469e28939d4
2025-10-10T00:34:11.1348463Z  * [new tag]                 trunk/9944cac6e6a95159744a775a8bef40d89eef0f03 -> trunk/9944cac6e6a95159744a775a8bef40d89eef0f03
2025-10-10T00:34:11.1348931Z  * [new tag]                 trunk/9aa92f246fa5fe5cfda17970d41d167b19a0612a -> trunk/9aa92f246fa5fe5cfda17970d41d167b19a0612a
2025-10-10T00:34:11.1349387Z  * [new tag]                 trunk/9d1ab4f4bb508a72c7f549f0b5219c4601944ba1 -> trunk/9d1ab4f4bb508a72c7f549f0b5219c4601944ba1
2025-10-10T00:34:11.1349880Z  * [new tag]                 trunk/9eb89a4ad5965b97c54e498d71fc765c0059acef -> trunk/9eb89a4ad5965b97c54e498d71fc765c0059acef
2025-10-10T00:34:11.1350807Z  * [new tag]                 trunk/9ec10dc26a81dc618ff435edd4ca4819245ecb0f -> trunk/9ec10dc26a81dc618ff435edd4ca4819245ecb0f
2025-10-10T00:34:11.1351230Z  * [new tag]                 trunk/9ecd092bd98f43d1cd4acc88eed6cbc39e946dbe -> trunk/9ecd092bd98f43d1cd4acc88eed6cbc39e946dbe
2025-10-10T00:34:11.1351621Z  * [new tag]                 trunk/9f5e1beaf3c9248a335d2448103240a463187eb5 -> trunk/9f5e1beaf3c9248a335d2448103240a463187eb5
2025-10-10T00:34:11.1352087Z  * [new tag]                 trunk/9fc2c6446d394dd313ed71e9d1ffc4f7f3916423 -> trunk/9fc2c6446d394dd313ed71e9d1ffc4f7f3916423
2025-10-10T00:34:11.1352584Z  * [new tag]                 trunk/9fff8155c362da777e7ce31b85fb2dc7cfced2d5 -> trunk/9fff8155c362da777e7ce31b85fb2dc7cfced2d5
2025-10-10T00:34:11.1353037Z  * [new tag]                 trunk/a029675f6f0b9cf48eb7943d4be8169c67960a8e -> trunk/a029675f6f0b9cf48eb7943d4be8169c67960a8e
2025-10-10T00:34:11.1353479Z  * [new tag]                 trunk/a11a66ef320938cd0fd72b44b2b572b06937e100 -> trunk/a11a66ef320938cd0fd72b44b2b572b06937e100
2025-10-10T00:34:11.1353947Z  * [new tag]                 trunk/a2f29bcd6388acdc3202d8a90974c50ffb605104 -> trunk/a2f29bcd6388acdc3202d8a90974c50ffb605104
2025-10-10T00:34:11.1354456Z  * [new tag]                 trunk/a34797e031727f6a01a2f13a66db2f7e1fcc05b6 -> trunk/a34797e031727f6a01a2f13a66db2f7e1fcc05b6
2025-10-10T00:34:11.1354905Z  * [new tag]                 trunk/a4110fedcf72eaede76324bb5c21a76589d75849 -> trunk/a4110fedcf72eaede76324bb5c21a76589d75849
2025-10-10T00:34:11.1355438Z  * [new tag]                 trunk/a43c4c3972a611db169dde2aed803b91fe78c081 -> trunk/a43c4c3972a611db169dde2aed803b91fe78c081
2025-10-10T00:34:11.1355766Z  * [new tag]                 trunk/a57a14868dcfd9dabf9bd19b6b11f31967c80c87 -> trunk/a57a14868dcfd9dabf9bd19b6b11f31967c80c87
2025-10-10T00:34:11.1356144Z  * [new tag]                 trunk/a6fa4f9c283971c0fb6f60a89674a1f35370ac79 -> trunk/a6fa4f9c283971c0fb6f60a89674a1f35370ac79
2025-10-10T00:34:11.1356650Z  * [new tag]                 trunk/a753ffa9aff47e005c31d6bcbf5b6a61cc54afed -> trunk/a753ffa9aff47e005c31d6bcbf5b6a61cc54afed
2025-10-10T00:34:11.1357100Z  * [new tag]                 trunk/a7fa1a91e386c7708e4c8747680911b0c3174a66 -> trunk/a7fa1a91e386c7708e4c8747680911b0c3174a66
2025-10-10T00:34:11.1357722Z  * [new tag]                 trunk/a9a9a3438a374f96a308b707a1718036aaec790d -> trunk/a9a9a3438a374f96a308b707a1718036aaec790d
2025-10-10T00:34:11.1357988Z  * [new tag]                 trunk/ab01a0d7d352e7fd07989b8d6bf035bf82aea74e -> trunk/ab01a0d7d352e7fd07989b8d6bf035bf82aea74e
2025-10-10T00:34:11.1358481Z  * [new tag]                 trunk/ab94a0d544503b5c27e889b45e45ef8cf75c8183 -> trunk/ab94a0d544503b5c27e889b45e45ef8cf75c8183
2025-10-10T00:34:11.1358927Z  * [new tag]                 trunk/abadea70f3eb5f2f764fd6448d42dd2c29fa28b3 -> trunk/abadea70f3eb5f2f764fd6448d42dd2c29fa28b3
2025-10-10T00:34:11.1359325Z  * [new tag]                 trunk/ac08556f674259ff5b117964e300124e8a92d45b -> trunk/ac08556f674259ff5b117964e300124e8a92d45b
2025-10-10T00:34:11.1359838Z  * [new tag]                 trunk/ac7b4e7fe4d233dcd7f6343d42b4fa3d64bce548 -> trunk/ac7b4e7fe4d233dcd7f6343d42b4fa3d64bce548
2025-10-10T00:34:11.1360299Z  * [new tag]                 trunk/ac901bf79a2d78539ffec272bf32f4ae47035b23 -> trunk/ac901bf79a2d78539ffec272bf32f4ae47035b23
2025-10-10T00:34:11.1360780Z  * [new tag]                 trunk/ad7b2bebc651c297d869f265deedef726bf17048 -> trunk/ad7b2bebc651c297d869f265deedef726bf17048
2025-10-10T00:34:11.1361268Z  * [new tag]                 trunk/ae25ec569c614c2a2274837079578b71f3201a3b -> trunk/ae25ec569c614c2a2274837079578b71f3201a3b
2025-10-10T00:34:11.1362117Z  * [new tag]                 trunk/aea57b3aa38a3d4a058e0a7eba08d0c6c28ed9c5 -> trunk/aea57b3aa38a3d4a058e0a7eba08d0c6c28ed9c5
2025-10-10T00:34:11.1362552Z  * [new tag]                 trunk/aed5ed1076d3e73e0b6357dafac1002aa6a221e9 -> trunk/aed5ed1076d3e73e0b6357dafac1002aa6a221e9
2025-10-10T00:34:11.1363216Z  * [new tag]                 trunk/aed66248a01d309eb2ac1149b5f51310545b0783 -> trunk/aed66248a01d309eb2ac1149b5f51310545b0783
2025-10-10T00:34:11.1363590Z  * [new tag]                 trunk/af32d16a71681ca05c6d410fb1b9cee091d4577d -> trunk/af32d16a71681ca05c6d410fb1b9cee091d4577d
2025-10-10T00:34:11.1364044Z  * [new tag]                 trunk/af40828bbb785f968eda18dbdc8750ba67f57366 -> trunk/af40828bbb785f968eda18dbdc8750ba67f57366
2025-10-10T00:34:11.1364793Z  * [new tag]                 trunk/af4c29fea8f50ac3bb9e4a0e305da4a2c6b53d29 -> trunk/af4c29fea8f50ac3bb9e4a0e305da4a2c6b53d29
2025-10-10T00:34:11.1365177Z  * [new tag]                 trunk/afee8062d511ad63e0af65ffac0e712d86aae8f1 -> trunk/afee8062d511ad63e0af65ffac0e712d86aae8f1
2025-10-10T00:34:11.1365685Z  * [new tag]                 trunk/afeec56a5aa83dd0258565400551a99777c0023b -> trunk/afeec56a5aa83dd0258565400551a99777c0023b
2025-10-10T00:34:11.1366416Z  * [new tag]                 trunk/b0985144b59db8fb20964829b5e0a9d2f9a3f0d6 -> trunk/b0985144b59db8fb20964829b5e0a9d2f9a3f0d6
2025-10-10T00:34:11.1366798Z  * [new tag]                 trunk/b116c5133024be39a2db67cd0112b490b970b710 -> trunk/b116c5133024be39a2db67cd0112b490b970b710
2025-10-10T00:34:11.1367287Z  * [new tag]                 trunk/b13cd141b3585c2ae89ad7747acd11203a2fb837 -> trunk/b13cd141b3585c2ae89ad7747acd11203a2fb837
2025-10-10T00:34:11.1367726Z  * [new tag]                 trunk/b1ac252f55f4a4d0e5488fb2ac9154154decec87 -> trunk/b1ac252f55f4a4d0e5488fb2ac9154154decec87
2025-10-10T00:34:11.1368254Z  * [new tag]                 trunk/b28b24a9fc7d391c5793a94489a3f2d5381f6ad7 -> trunk/b28b24a9fc7d391c5793a94489a3f2d5381f6ad7
2025-10-10T00:34:11.1368756Z  * [new tag]                 trunk/b2b3947565fd0c27ebd4941152c964eab30370e2 -> trunk/b2b3947565fd0c27ebd4941152c964eab30370e2
2025-10-10T00:34:11.1369142Z  * [new tag]                 trunk/b558c986e8ec693b531ad2817026393c55d72eb6 -> trunk/b558c986e8ec693b531ad2817026393c55d72eb6
2025-10-10T00:34:11.1369617Z  * [new tag]                 trunk/b5e93ffdcf779c703af5c8119636b01f250eafcd -> trunk/b5e93ffdcf779c703af5c8119636b01f250eafcd
2025-10-10T00:34:11.1370078Z  * [new tag]                 trunk/b63bbe16615cc7680836dbb151bd848bce4893d6 -> trunk/b63bbe16615cc7680836dbb151bd848bce4893d6
2025-10-10T00:34:11.1370532Z  * [new tag]                 trunk/b6b7a44dec63495d57946cbfe8f2accb8f876db2 -> trunk/b6b7a44dec63495d57946cbfe8f2accb8f876db2
2025-10-10T00:34:11.1370854Z  * [new tag]                 trunk/b9e73e639e36f3aa628752161711e68878231b30 -> trunk/b9e73e639e36f3aa628752161711e68878231b30
2025-10-10T00:34:11.1371374Z  * [new tag]                 trunk/ba480d6bf78ea446d1268d9b5b3a0dbb490c9c88 -> trunk/ba480d6bf78ea446d1268d9b5b3a0dbb490c9c88
2025-10-10T00:34:11.1371905Z  * [new tag]                 trunk/bac0f289a35f05052740076fc5671271a3d487c2 -> trunk/bac0f289a35f05052740076fc5671271a3d487c2
2025-10-10T00:34:11.1372372Z  * [new tag]                 trunk/bc1690c7e859dee8c47a7f0bbd3c43cc27c6fd2a -> trunk/bc1690c7e859dee8c47a7f0bbd3c43cc27c6fd2a
2025-10-10T00:34:11.1372762Z  * [new tag]                 trunk/bc33b10202fb7c3761bcabc166e02d96807d8739 -> trunk/bc33b10202fb7c3761bcabc166e02d96807d8739
2025-10-10T00:34:11.1373252Z  * [new tag]                 trunk/bcafea5c92ca2ee1b0dc8f6d8b62ecabb6f40228 -> trunk/bcafea5c92ca2ee1b0dc8f6d8b62ecabb6f40228
2025-10-10T00:34:11.1373718Z  * [new tag]                 trunk/bcd96cc6ff798281e66aabef6ce72542fdc97c7a -> trunk/bcd96cc6ff798281e66aabef6ce72542fdc97c7a
2025-10-10T00:34:11.1374187Z  * [new tag]                 trunk/bd3b98a8a5d68ddc84b20a4609b9ea90998bf95b -> trunk/bd3b98a8a5d68ddc84b20a4609b9ea90998bf95b
2025-10-10T00:34:11.1374702Z  * [new tag]                 trunk/bdc0a421d7bcc49db12f7593d2c213a6141da614 -> trunk/bdc0a421d7bcc49db12f7593d2c213a6141da614
2025-10-10T00:34:11.1375151Z  * [new tag]                 trunk/bde18c445dcb1d83e8ea0afae52f9b9bf8171f45 -> trunk/bde18c445dcb1d83e8ea0afae52f9b9bf8171f45
2025-10-10T00:34:11.1375515Z  * [new tag]                 trunk/bf717ce346203fc27e792f4bdcc31e979cd74fa9 -> trunk/bf717ce346203fc27e792f4bdcc31e979cd74fa9
2025-10-10T00:34:11.1376303Z  * [new tag]                 trunk/c0510dc447a1f105cb8758d2721380f7a7c380d1 -> trunk/c0510dc447a1f105cb8758d2721380f7a7c380d1
2025-10-10T00:34:11.1376713Z  * [new tag]                 trunk/c1f40d33c89b361a1edad17aa25cfff1ab4014fd -> trunk/c1f40d33c89b361a1edad17aa25cfff1ab4014fd
2025-10-10T00:34:11.1377175Z  * [new tag]                 trunk/c32118dc3e50505fd285e6e448a90883fce11535 -> trunk/c32118dc3e50505fd285e6e448a90883fce11535
2025-10-10T00:34:11.1377659Z  * [new tag]                 trunk/c45d56dd00546daa7d9044674233dba1ac7b6194 -> trunk/c45d56dd00546daa7d9044674233dba1ac7b6194
2025-10-10T00:34:11.1378077Z  * [new tag]                 trunk/c6329524d8670d5f9295cddcf7ebc3040ed9179e -> trunk/c6329524d8670d5f9295cddcf7ebc3040ed9179e
2025-10-10T00:34:11.1378813Z  * [new tag]                 trunk/c6a6c80a730ff4edaec0d2fc4a5ff9344edaed41 -> trunk/c6a6c80a730ff4edaec0d2fc4a5ff9344edaed41
2025-10-10T00:34:11.1379247Z  * [new tag]                 trunk/c7e30ae4dd9a58ed4f4bcbdc6afc2249cac94f28 -> trunk/c7e30ae4dd9a58ed4f4bcbdc6afc2249cac94f28
2025-10-10T00:34:11.1379702Z  * [new tag]                 trunk/c813617c53e6be91e77f47e9a3f713146d54f340 -> trunk/c813617c53e6be91e77f47e9a3f713146d54f340
2025-10-10T00:34:11.1380384Z  * [new tag]                 trunk/c855f8632e331b51d60d5f1bcc59d3181cb4bc82 -> trunk/c855f8632e331b51d60d5f1bcc59d3181cb4bc82
2025-10-10T00:34:11.1380692Z  * [new tag]                 trunk/c965d6dbb23a8b2338ffebf3f01c6f92ce5847d2 -> trunk/c965d6dbb23a8b2338ffebf3f01c6f92ce5847d2
2025-10-10T00:34:11.1381182Z  * [new tag]                 trunk/cac5e13e1384900c5acc4938c33d6037a61850d5 -> trunk/cac5e13e1384900c5acc4938c33d6037a61850d5
2025-10-10T00:34:11.1381949Z  * [new tag]                 trunk/cc71ab86a6985e85645424b727c766e031047ff6 -> trunk/cc71ab86a6985e85645424b727c766e031047ff6
2025-10-10T00:34:11.1382410Z  * [new tag]                 trunk/cd62a73dcb13102069aa827a6657f62d88cce095 -> trunk/cd62a73dcb13102069aa827a6657f62d88cce095
2025-10-10T00:34:11.1382838Z  * [new tag]                 trunk/cf0a00d4f38775e5a82a166e367f40383c606963 -> trunk/cf0a00d4f38775e5a82a166e367f40383c606963
2025-10-10T00:34:11.1383304Z  * [new tag]                 trunk/cfc5cc17dc4fa6be41b4b31eb6e63d3863479452 -> trunk/cfc5cc17dc4fa6be41b4b31eb6e63d3863479452
2025-10-10T00:34:11.1383838Z  * [new tag]                 trunk/cfd46d13e6e1308add3a9f287b4855ccc3f2e66c -> trunk/cfd46d13e6e1308add3a9f287b4855ccc3f2e66c
2025-10-10T00:34:11.1384256Z  * [new tag]                 trunk/d1a62c80363cf769552453eed187e935f905737d -> trunk/d1a62c80363cf769552453eed187e935f905737d
2025-10-10T00:34:11.1384741Z  * [new tag]                 trunk/d1cbb74fb16406488a174832e1b58b7c242f418d -> trunk/d1cbb74fb16406488a174832e1b58b7c242f418d
2025-10-10T00:34:11.1385190Z  * [new tag]                 trunk/d386325ca9a142419f45b987391f4bb175dd7d0b -> trunk/d386325ca9a142419f45b987391f4bb175dd7d0b
2025-10-10T00:34:11.1385701Z  * [new tag]                 trunk/d40a9bfb8da0dc1ac1e6e56b33a25979112874de -> trunk/d40a9bfb8da0dc1ac1e6e56b33a25979112874de
2025-10-10T00:34:11.1386173Z  * [new tag]                 trunk/d4443840036a00a30afcf066cb23f4525e590809 -> trunk/d4443840036a00a30afcf066cb23f4525e590809
2025-10-10T00:34:11.1386674Z  * [new tag]                 trunk/d4752bc7f6818a3df5356a9de61afe1d3e27ade9 -> trunk/d4752bc7f6818a3df5356a9de61afe1d3e27ade9
2025-10-10T00:34:11.1387117Z  * [new tag]                 trunk/da49a57d3462332b26cb7ee58910b5bc67e5772c -> trunk/da49a57d3462332b26cb7ee58910b5bc67e5772c
2025-10-10T00:34:11.1387631Z  * [new tag]                 trunk/da903b6a8be422529d47649e89c0d50bb95c37ca -> trunk/da903b6a8be422529d47649e89c0d50bb95c37ca
2025-10-10T00:34:11.1388227Z  * [new tag]                 trunk/dca73982c53e9f99f96246b5d9ed9bab83c7423f -> trunk/dca73982c53e9f99f96246b5d9ed9bab83c7423f
2025-10-10T00:34:11.1388659Z  * [new tag]                 trunk/ddf8de28c25944a58e739ba9996b06753e4199cc -> trunk/ddf8de28c25944a58e739ba9996b06753e4199cc
2025-10-10T00:34:11.1389136Z  * [new tag]                 trunk/df640df68a5275684eaae3080a9c97a0c61469c8 -> trunk/df640df68a5275684eaae3080a9c97a0c61469c8
2025-10-10T00:34:11.1389543Z  * [new tag]                 trunk/e09fb44ef177005c4a11c28be24781429d416a3e -> trunk/e09fb44ef177005c4a11c28be24781429d416a3e
2025-10-10T00:34:11.1389972Z  * [new tag]                 trunk/e0cb1848d0fd9fb4467ad8b844c565aea5071838 -> trunk/e0cb1848d0fd9fb4467ad8b844c565aea5071838
2025-10-10T00:34:11.1390484Z  * [new tag]                 trunk/e3ae80fc036da356e3748d134689741583552f09 -> trunk/e3ae80fc036da356e3748d134689741583552f09
2025-10-10T00:34:11.1390975Z  * [new tag]                 trunk/e40fe634b1a7aa33e278b1404ee02dea12277080 -> trunk/e40fe634b1a7aa33e278b1404ee02dea12277080
2025-10-10T00:34:11.1391495Z  * [new tag]                 trunk/e438db254602cf39ba536aed0590b4144c019ee8 -> trunk/e438db254602cf39ba536aed0590b4144c019ee8
2025-10-10T00:34:11.1391965Z  * [new tag]                 trunk/e532f62e0d96e56cb28fa6a0ba6d981896a65d52 -> trunk/e532f62e0d96e56cb28fa6a0ba6d981896a65d52
2025-10-10T00:34:11.1392422Z  * [new tag]                 trunk/e6d4b26776842307475b368db60e27ac1bcede86 -> trunk/e6d4b26776842307475b368db60e27ac1bcede86
2025-10-10T00:34:11.1393096Z  * [new tag]                 trunk/e7ed1a00eb5510d1c7dccd17b5c0ebb54231284f -> trunk/e7ed1a00eb5510d1c7dccd17b5c0ebb54231284f
2025-10-10T00:34:11.1393503Z  * [new tag]                 trunk/e7fd2969303ab931f5e5875eca676018e1acd089 -> trunk/e7fd2969303ab931f5e5875eca676018e1acd089
2025-10-10T00:34:11.1393961Z  * [new tag]                 trunk/e89d12bf5d6b69c153cd000ef278fca59f03226d -> trunk/e89d12bf5d6b69c153cd000ef278fca59f03226d
2025-10-10T00:34:11.1394495Z  * [new tag]                 trunk/e98c4e835b1db22092fc93b49d2cddd7b3537d1f -> trunk/e98c4e835b1db22092fc93b49d2cddd7b3537d1f
2025-10-10T00:34:11.1394945Z  * [new tag]                 trunk/ea42517e454d2e47391646bbb897f5fc51147b9d -> trunk/ea42517e454d2e47391646bbb897f5fc51147b9d
2025-10-10T00:34:11.1395426Z  * [new tag]                 trunk/eaa02655eabd24609744c2251ac40d39d86ebb39 -> trunk/eaa02655eabd24609744c2251ac40d39d86ebb39
2025-10-10T00:34:11.1395912Z  * [new tag]                 trunk/eccf561326147894d57482a5aba7a2290005b257 -> trunk/eccf561326147894d57482a5aba7a2290005b257
2025-10-10T00:34:11.1396449Z  * [new tag]                 trunk/ece5e0f01b68509342f85fa388ca61936dc18b20 -> trunk/ece5e0f01b68509342f85fa388ca61936dc18b20
2025-10-10T00:34:11.1396918Z  * [new tag]                 trunk/ed2d514ad860229f6d364688f9db27dad034cd83 -> trunk/ed2d514ad860229f6d364688f9db27dad034cd83
2025-10-10T00:34:11.1397377Z  * [new tag]                 trunk/ed6156e3ea334b9b8d395e5a9f76fa3ba7408c06 -> trunk/ed6156e3ea334b9b8d395e5a9f76fa3ba7408c06
2025-10-10T00:34:11.1397840Z  * [new tag]                 trunk/ee5389d520844db36374e86c986b9ff8f47ac4bb -> trunk/ee5389d520844db36374e86c986b9ff8f47ac4bb
2025-10-10T00:34:11.1398396Z  * [new tag]                 trunk/ee6a1ecb0a1035f068484c8fcfba44b2efc9e837 -> trunk/ee6a1ecb0a1035f068484c8fcfba44b2efc9e837
2025-10-10T00:34:11.1398807Z  * [new tag]                 trunk/ef50c6e3e3d83bfd67e50930eea9a3a9db084061 -> trunk/ef50c6e3e3d83bfd67e50930eea9a3a9db084061
2025-10-10T00:34:11.1399287Z  * [new tag]                 trunk/ef7e2ca77e3f554ced81eb614f15fb84249d4a7e -> trunk/ef7e2ca77e3f554ced81eb614f15fb84249d4a7e
2025-10-10T00:34:11.1399790Z  * [new tag]                 trunk/f006aee601cb72077f4b1dbc3f7f0f685e57a1a9 -> trunk/f006aee601cb72077f4b1dbc3f7f0f685e57a1a9
2025-10-10T00:34:11.1400263Z  * [new tag]                 trunk/f05e23e1bc1439e19145e43e8ffca0051cda2f33 -> trunk/f05e23e1bc1439e19145e43e8ffca0051cda2f33
2025-10-10T00:34:11.1400750Z  * [new tag]                 trunk/f0c9f3bddbf7ad77d5d3a8803c23bb47bfb71d79 -> trunk/f0c9f3bddbf7ad77d5d3a8803c23bb47bfb71d79
2025-10-10T00:34:11.1401228Z  * [new tag]                 trunk/f11ac803d73b90d7e1f7bde962b9afe6b5967eb7 -> trunk/f11ac803d73b90d7e1f7bde962b9afe6b5967eb7
2025-10-10T00:34:11.1401690Z  * [new tag]                 trunk/f1229b6db946c290cc5bdea05dde69fc01e0bed0 -> trunk/f1229b6db946c290cc5bdea05dde69fc01e0bed0
2025-10-10T00:34:11.1402148Z  * [new tag]                 trunk/f231be25c679adb47ac3e483dc68948e5ad137a4 -> trunk/f231be25c679adb47ac3e483dc68948e5ad137a4
2025-10-10T00:34:11.1402853Z  * [new tag]                 trunk/f33201729416ed17467228e80b04d01d4d02b5f3 -> trunk/f33201729416ed17467228e80b04d01d4d02b5f3
2025-10-10T00:34:11.1403231Z  * [new tag]                 trunk/f37a6523efe1b9bf7f6b5b5d0f36dc461a3fda2a -> trunk/f37a6523efe1b9bf7f6b5b5d0f36dc461a3fda2a
2025-10-10T00:34:11.1403744Z  * [new tag]                 trunk/f39789cdabb6465f21666bd001829e1f7284d754 -> trunk/f39789cdabb6465f21666bd001829e1f7284d754
2025-10-10T00:34:11.1404206Z  * [new tag]                 trunk/f3afbcf3407783e54ec2795b06ae744f645320ba -> trunk/f3afbcf3407783e54ec2795b06ae744f645320ba
2025-10-10T00:34:11.1404740Z  * [new tag]                 trunk/f3e43ff2d73f375487b1b71483bbecb6cdad8920 -> trunk/f3e43ff2d73f375487b1b71483bbecb6cdad8920
2025-10-10T00:34:11.1405213Z  * [new tag]                 trunk/f414aa8e0d17e8eff38a93cebd52436e53f50eba -> trunk/f414aa8e0d17e8eff38a93cebd52436e53f50eba
2025-10-10T00:34:11.1405624Z  * [new tag]                 trunk/f465ea6752c91498de63eb57439a74f4836e568a -> trunk/f465ea6752c91498de63eb57439a74f4836e568a
2025-10-10T00:34:11.1406129Z  * [new tag]                 trunk/f46bb04dcc37a9b394e414569aef8aef69f9bf53 -> trunk/f46bb04dcc37a9b394e414569aef8aef69f9bf53
2025-10-10T00:34:11.1406574Z  * [new tag]                 trunk/f46ddb1e65b595c80f285dc42aa8549970736aae -> trunk/f46ddb1e65b595c80f285dc42aa8549970736aae
2025-10-10T00:34:11.1407246Z  * [new tag]                 trunk/f4cf75688f0fd93466589addfb7d0ec33e46e3bf -> trunk/f4cf75688f0fd93466589addfb7d0ec33e46e3bf
2025-10-10T00:34:11.1407600Z  * [new tag]                 trunk/f505caa71bd2e4d1e708e20a3665b834134e08fc -> trunk/f505caa71bd2e4d1e708e20a3665b834134e08fc
2025-10-10T00:34:11.1408097Z  * [new tag]                 trunk/f5fd18f7e24378bd9eb91404f697f1c81a8187d5 -> trunk/f5fd18f7e24378bd9eb91404f697f1c81a8187d5
2025-10-10T00:34:11.1408528Z  * [new tag]                 trunk/f6de195616432f42a545b98ea41cc816019d1c60 -> trunk/f6de195616432f42a545b98ea41cc816019d1c60
2025-10-10T00:34:11.1409051Z  * [new tag]                 trunk/f6f76767563d4293a0f78551edf4675a5794c570 -> trunk/f6f76767563d4293a0f78551edf4675a5794c570
2025-10-10T00:34:11.1409502Z  * [new tag]                 trunk/f7082e92b3635e89906fae514506152a2ec844a0 -> trunk/f7082e92b3635e89906fae514506152a2ec844a0
2025-10-10T00:34:11.1410053Z  * [new tag]                 trunk/f713abab16cb98c15f486e9822dd261279cce252 -> trunk/f713abab16cb98c15f486e9822dd261279cce252
2025-10-10T00:34:11.1410520Z  * [new tag]                 trunk/f76fdcaaf8b6d5f97c7f63705400ebed8984f869 -> trunk/f76fdcaaf8b6d5f97c7f63705400ebed8984f869
2025-10-10T00:34:11.1410984Z  * [new tag]                 trunk/f79e212733ca89ce3cc99a3072e50351686e5568 -> trunk/f79e212733ca89ce3cc99a3072e50351686e5568
2025-10-10T00:34:11.1411468Z  * [new tag]                 trunk/f7ad6dbad67161333a1473d1e0b478b7475a0ec1 -> trunk/f7ad6dbad67161333a1473d1e0b478b7475a0ec1
2025-10-10T00:34:11.1411923Z  * [new tag]                 trunk/fa5306b4f5bea89d80b9f14926712119aab78161 -> trunk/fa5306b4f5bea89d80b9f14926712119aab78161
2025-10-10T00:34:11.1412444Z  * [new tag]                 trunk/fac6f20ae3a68fa49e19571a1fc4bcdddbf87d80 -> trunk/fac6f20ae3a68fa49e19571a1fc4bcdddbf87d80
2025-10-10T00:34:11.1413237Z  * [new tag]                 trunk/fac85fcfb5ad0e63438d808a2f9ba7ea2dff9ad4 -> trunk/fac85fcfb5ad0e63438d808a2f9ba7ea2dff9ad4
2025-10-10T00:34:11.1413727Z  * [new tag]                 trunk/fd3e15c14f4fc474af610b482382a2c85729f50d -> trunk/fd3e15c14f4fc474af610b482382a2c85729f50d
2025-10-10T00:34:11.1414208Z  * [new tag]                 trunk/fd4bde430a51e5f216295c950d962c6343119821 -> trunk/fd4bde430a51e5f216295c950d962c6343119821
2025-10-10T00:34:11.1414675Z  * [new tag]                 trunk/fdc622b513610b53ddcdc0b40282df9beae369bd -> trunk/fdc622b513610b53ddcdc0b40282df9beae369bd
2025-10-10T00:34:11.1415166Z  * [new tag]                 trunk/fdc8ccc5bc433478c2a114016e193f5665d1e370 -> trunk/fdc8ccc5bc433478c2a114016e193f5665d1e370
2025-10-10T00:34:11.1415636Z  * [new tag]                 trunk/ff5faa744a52561f4c6a138089123fd8d41cab73 -> trunk/ff5faa744a52561f4c6a138089123fd8d41cab73
2025-10-10T00:34:11.1416024Z  * [new tag]                 v0.1.1                      -> v0.1.1
2025-10-10T00:34:11.1416442Z  * [new tag]                 v0.1.10                     -> v0.1.10
2025-10-10T00:34:11.1416855Z  * [new tag]                 v0.1.11                     -> v0.1.11
2025-10-10T00:34:11.1417276Z  * [new tag]                 v0.1.12                     -> v0.1.12
2025-10-10T00:34:11.1417659Z  * [new tag]                 v0.1.2                      -> v0.1.2
2025-10-10T00:34:11.1418201Z  * [new tag]                 v0.1.3                      -> v0.1.3
2025-10-10T00:34:11.1418475Z  * [new tag]                 v0.1.4                      -> v0.1.4
2025-10-10T00:34:11.1419008Z  * [new tag]                 v0.1.5                      -> v0.1.5
2025-10-10T00:34:11.1419357Z  * [new tag]                 v0.1.6                      -> v0.1.6
2025-10-10T00:34:11.1419727Z  * [new tag]                 v0.1.7                      -> v0.1.7
2025-10-10T00:34:11.1420123Z  * [new tag]                 v0.1.8                      -> v0.1.8
2025-10-10T00:34:11.1420632Z  * [new tag]                 v0.1.9                      -> v0.1.9
2025-10-10T00:34:11.1421025Z  * [new tag]                 v0.2.0                      -> v0.2.0
2025-10-10T00:34:11.1421548Z  * [new tag]                 v0.3.0                      -> v0.3.0
2025-10-10T00:34:11.1421936Z  * [new tag]                 v0.3.1                      -> v0.3.1
2025-10-10T00:34:11.1422463Z  * [new tag]                 v0.4.0                      -> v0.4.0
2025-10-10T00:34:11.1422799Z  * [new tag]                 v0.4.1                      -> v0.4.1
2025-10-10T00:34:11.1423177Z  * [new tag]                 v1.0.0                      -> v1.0.0
2025-10-10T00:34:11.1423726Z  * [new tag]                 v1.0.0a0                    -> v1.0.0a0
2025-10-10T00:34:11.1424034Z  * [new tag]                 v1.0.1                      -> v1.0.1
2025-10-10T00:34:11.1424622Z  * [new tag]                 v1.0rc0                     -> v1.0rc0
2025-10-10T00:34:11.1424925Z  * [new tag]                 v1.0rc1                     -> v1.0rc1
2025-10-10T00:34:11.1425294Z  * [new tag]                 v1.1.0                      -> v1.1.0
2025-10-10T00:34:11.1425834Z  * [new tag]                 v1.1.0a0                    -> v1.1.0a0
2025-10-10T00:34:11.1426440Z  * [new tag]                 v1.10.0                     -> v1.10.0
2025-10-10T00:34:11.1427050Z  * [new tag]                 v1.10.0-rc1                 -> v1.10.0-rc1
2025-10-10T00:34:11.1427409Z  * [new tag]                 v1.10.0-rc2                 -> v1.10.0-rc2
2025-10-10T00:34:11.1427795Z  * [new tag]                 v1.10.0-rc3                 -> v1.10.0-rc3
2025-10-10T00:34:11.1428229Z  * [new tag]                 v1.10.1                     -> v1.10.1
2025-10-10T00:34:11.1428586Z  * [new tag]                 v1.10.1-rc1                 -> v1.10.1-rc1
2025-10-10T00:34:11.1428897Z  * [new tag]                 v1.10.2                     -> v1.10.2
2025-10-10T00:34:11.1429270Z  * [new tag]                 v1.10.2-rc1                 -> v1.10.2-rc1
2025-10-10T00:34:11.1429668Z  * [new tag]                 v1.11.0                     -> v1.11.0
2025-10-10T00:34:11.1430267Z  * [new tag]                 v1.11.0-rc1                 -> v1.11.0-rc1
2025-10-10T00:34:11.1430663Z  * [new tag]                 v1.11.0-rc2                 -> v1.11.0-rc2
2025-10-10T00:34:11.1431239Z  * [new tag]                 v1.11.0-rc3                 -> v1.11.0-rc3
2025-10-10T00:34:11.1431654Z  * [new tag]                 v1.11.0-rc4                 -> v1.11.0-rc4
2025-10-10T00:34:11.1432233Z  * [new tag]                 v1.11.0-rc5                 -> v1.11.0-rc5
2025-10-10T00:34:11.1432487Z  * [new tag]                 v1.11.0-rc6                 -> v1.11.0-rc6
2025-10-10T00:34:11.1432783Z  * [new tag]                 v1.11.0-rc7                 -> v1.11.0-rc7
2025-10-10T00:34:11.1433512Z  * [new tag]                 v1.12.0                     -> v1.12.0
2025-10-10T00:34:11.1433852Z  * [new tag]                 v1.12.0-rc1                 -> v1.12.0-rc1
2025-10-10T00:34:11.1434719Z  * [new tag]                 v1.12.0-rc2                 -> v1.12.0-rc2
2025-10-10T00:34:11.1435129Z  * [new tag]                 v1.12.0-rc3                 -> v1.12.0-rc3
2025-10-10T00:34:11.1435676Z  * [new tag]                 v1.12.0-rc4                 -> v1.12.0-rc4
2025-10-10T00:34:11.1436072Z  * [new tag]                 v1.12.0-rc5                 -> v1.12.0-rc5
2025-10-10T00:34:11.1436698Z  * [new tag]                 v1.12.0-rc6                 -> v1.12.0-rc6
2025-10-10T00:34:11.1436946Z  * [new tag]                 v1.12.0-rc7                 -> v1.12.0-rc7
2025-10-10T00:34:11.1437276Z  * [new tag]                 v1.12.0-rc8                 -> v1.12.0-rc8
2025-10-10T00:34:11.1437670Z  * [new tag]                 v1.12.1                     -> v1.12.1
2025-10-10T00:34:11.1438284Z  * [new tag]                 v1.12.1-rc1                 -> v1.12.1-rc1
2025-10-10T00:34:11.1438600Z  * [new tag]                 v1.12.1-rc2                 -> v1.12.1-rc2
2025-10-10T00:34:11.1439221Z  * [new tag]                 v1.12.1-rc3                 -> v1.12.1-rc3
2025-10-10T00:34:11.1439572Z  * [new tag]                 v1.12.1-rc4                 -> v1.12.1-rc4
2025-10-10T00:34:11.1440070Z  * [new tag]                 v1.12.1-rc5                 -> v1.12.1-rc5
2025-10-10T00:34:11.1440435Z  * [new tag]                 v1.13.0                     -> v1.13.0
2025-10-10T00:34:11.1440838Z  * [new tag]                 v1.13.0-rc1                 -> v1.13.0-rc1
2025-10-10T00:34:11.1441240Z  * [new tag]                 v1.13.0-rc2                 -> v1.13.0-rc2
2025-10-10T00:34:11.1441665Z  * [new tag]                 v1.13.0-rc3                 -> v1.13.0-rc3
2025-10-10T00:34:11.1444225Z  * [new tag]                 v1.13.0-rc4                 -> v1.13.0-rc4
2025-10-10T00:34:11.1444360Z  * [new tag]                 v1.13.0-rc5                 -> v1.13.0-rc5
2025-10-10T00:34:11.1444463Z  * [new tag]                 v1.13.0-rc6                 -> v1.13.0-rc6
2025-10-10T00:34:11.1444722Z  * [new tag]                 v1.13.1                     -> v1.13.1
2025-10-10T00:34:11.1444845Z  * [new tag]                 v1.13.1-rc1                 -> v1.13.1-rc1
2025-10-10T00:34:11.1444942Z  * [new tag]                 v1.2.0                      -> v1.2.0
2025-10-10T00:34:11.1445049Z  * [new tag]                 v1.2.0a0                    -> v1.2.0a0
2025-10-10T00:34:11.1445152Z  * [new tag]                 v1.3.0                      -> v1.3.0
2025-10-10T00:34:11.1445449Z  * [new tag]                 v1.3.0a0                    -> v1.3.0a0
2025-10-10T00:34:11.1445834Z  * [new tag]                 v1.3.1                      -> v1.3.1
2025-10-10T00:34:11.1446171Z  * [new tag]                 v1.4.0                      -> v1.4.0
2025-10-10T00:34:11.1446829Z  * [new tag]                 v1.4.0a0                    -> v1.4.0a0
2025-10-10T00:34:11.1447160Z  * [new tag]                 v1.4.1                      -> v1.4.1
2025-10-10T00:34:11.1447633Z  * [new tag]                 v1.5.0                      -> v1.5.0
2025-10-10T00:34:11.1448223Z  * [new tag]                 v1.5.0-rc1                  -> v1.5.0-rc1
2025-10-10T00:34:11.1448510Z  * [new tag]                 v1.5.0-rc2                  -> v1.5.0-rc2
2025-10-10T00:34:11.1449160Z  * [new tag]                 v1.5.0-rc3                  -> v1.5.0-rc3
2025-10-10T00:34:11.1449489Z  * [new tag]                 v1.5.0-rc4                  -> v1.5.0-rc4
2025-10-10T00:34:11.1449765Z  * [new tag]                 v1.5.0-rc5                  -> v1.5.0-rc5
2025-10-10T00:34:11.1450332Z  * [new tag]                 v1.5.1                      -> v1.5.1
2025-10-10T00:34:11.1450571Z  * [new tag]                 v1.5.1-rc1                  -> v1.5.1-rc1
2025-10-10T00:34:11.1450903Z  * [new tag]                 v1.6.0                      -> v1.6.0
2025-10-10T00:34:11.1451413Z  * [new tag]                 v1.6.0-rc1                  -> v1.6.0-rc1
2025-10-10T00:34:11.1452033Z  * [new tag]                 v1.6.0-rc2                  -> v1.6.0-rc2
2025-10-10T00:34:11.1452423Z  * [new tag]                 v1.6.0-rc3                  -> v1.6.0-rc3
2025-10-10T00:34:11.1452976Z  * [new tag]                 v1.6.0-rc4                  -> v1.6.0-rc4
2025-10-10T00:34:11.1453353Z  * [new tag]                 v1.6.0-rc5                  -> v1.6.0-rc5
2025-10-10T00:34:11.1453893Z  * [new tag]                 v1.6.0-rc6                  -> v1.6.0-rc6
2025-10-10T00:34:11.1454208Z  * [new tag]                 v1.6.0-rc7                  -> v1.6.0-rc7
2025-10-10T00:34:11.1454631Z  * [new tag]                 v1.7.0                      -> v1.7.0
2025-10-10T00:34:11.1455055Z  * [new tag]                 v1.7.0-rc1                  -> v1.7.0-rc1
2025-10-10T00:34:11.1455668Z  * [new tag]                 v1.7.0-rc2                  -> v1.7.0-rc2
2025-10-10T00:34:11.1456054Z  * [new tag]                 v1.7.0-rc3                  -> v1.7.0-rc3
2025-10-10T00:34:11.1456339Z  * [new tag]                 v1.7.0-rc4                  -> v1.7.0-rc4
2025-10-10T00:34:11.1456909Z  * [new tag]                 v1.7.1                      -> v1.7.1
2025-10-10T00:34:11.1457454Z  * [new tag]                 v1.7.1-rc1                  -> v1.7.1-rc1
2025-10-10T00:34:11.1457852Z  * [new tag]                 v1.7.1-rc2                  -> v1.7.1-rc2
2025-10-10T00:34:11.1458181Z  * [new tag]                 v1.7.1-rc3                  -> v1.7.1-rc3
2025-10-10T00:34:11.1458767Z  * [new tag]                 v1.8.0                      -> v1.8.0
2025-10-10T00:34:11.1459014Z  * [new tag]                 v1.8.0-rc1                  -> v1.8.0-rc1
2025-10-10T00:34:11.1459791Z  * [new tag]                 v1.8.0-rc2                  -> v1.8.0-rc2
2025-10-10T00:34:11.1460097Z  * [new tag]                 v1.8.0-rc3                  -> v1.8.0-rc3
2025-10-10T00:34:11.1460649Z  * [new tag]                 v1.8.0-rc4                  -> v1.8.0-rc4
2025-10-10T00:34:11.1460882Z  * [new tag]                 v1.8.0-rc5                  -> v1.8.0-rc5
2025-10-10T00:34:11.1461268Z  * [new tag]                 v1.8.1                      -> v1.8.1
2025-10-10T00:34:11.1461679Z  * [new tag]                 v1.8.1-rc1                  -> v1.8.1-rc1
2025-10-10T00:34:11.1461977Z  * [new tag]                 v1.8.1-rc2                  -> v1.8.1-rc2
2025-10-10T00:34:11.1462678Z  * [new tag]                 v1.8.1-rc3                  -> v1.8.1-rc3
2025-10-10T00:34:11.1463501Z  * [new tag]                 v1.8.2                      -> v1.8.2
2025-10-10T00:34:11.1463740Z  * [new tag]                 v1.8.2-rc1                  -> v1.8.2-rc1
2025-10-10T00:34:11.1464303Z  * [new tag]                 v1.9.0                      -> v1.9.0
2025-10-10T00:34:11.1464662Z  * [new tag]                 v1.9.0-rc1                  -> v1.9.0-rc1
2025-10-10T00:34:11.1465279Z  * [new tag]                 v1.9.0-rc2                  -> v1.9.0-rc2
2025-10-10T00:34:11.1465686Z  * [new tag]                 v1.9.0-rc3                  -> v1.9.0-rc3
2025-10-10T00:34:11.1466038Z  * [new tag]                 v1.9.0-rc4                  -> v1.9.0-rc4
2025-10-10T00:34:11.1466607Z  * [new tag]                 v1.9.1                      -> v1.9.1
2025-10-10T00:34:11.1467173Z  * [new tag]                 v1.9.1-rc1                  -> v1.9.1-rc1
2025-10-10T00:34:11.1467449Z  * [new tag]                 v1.9.1-rc2                  -> v1.9.1-rc2
2025-10-10T00:34:11.1468024Z  * [new tag]                 v2.0.0                      -> v2.0.0
2025-10-10T00:34:11.1468359Z  * [new tag]                 v2.0.0-rc1                  -> v2.0.0-rc1
2025-10-10T00:34:11.1468938Z  * [new tag]                 v2.0.0-rc2                  -> v2.0.0-rc2
2025-10-10T00:34:11.1469485Z  * [new tag]                 v2.0.0-rc3                  -> v2.0.0-rc3
2025-10-10T00:34:11.1469821Z  * [new tag]                 v2.0.0-rc4                  -> v2.0.0-rc4
2025-10-10T00:34:11.1470384Z  * [new tag]                 v2.0.0-rc5                  -> v2.0.0-rc5
2025-10-10T00:34:11.1470598Z  * [new tag]                 v2.0.0-rc6                  -> v2.0.0-rc6
2025-10-10T00:34:11.1471190Z  * [new tag]                 v2.0.1                      -> v2.0.1
2025-10-10T00:34:11.1471604Z  * [new tag]                 v2.0.1-rc1                  -> v2.0.1-rc1
2025-10-10T00:34:11.1471916Z  * [new tag]                 v2.0.1-rc2                  -> v2.0.1-rc2
2025-10-10T00:34:11.1472463Z  * [new tag]                 v2.0.1-rc3                  -> v2.0.1-rc3
2025-10-10T00:34:11.1472774Z  * [new tag]                 v2.0.1-rc4                  -> v2.0.1-rc4
2025-10-10T00:34:11.1473703Z  * [new tag]                 v2.1.0                      -> v2.1.0
2025-10-10T00:34:11.1474086Z  * [new tag]                 v2.1.0-rc1                  -> v2.1.0-rc1
2025-10-10T00:34:11.1474632Z  * [new tag]                 v2.1.0-rc2                  -> v2.1.0-rc2
2025-10-10T00:34:11.1475055Z  * [new tag]                 v2.1.0-rc3                  -> v2.1.0-rc3
2025-10-10T00:34:11.1475605Z  * [new tag]                 v2.1.0-rc4                  -> v2.1.0-rc4
2025-10-10T00:34:11.1476017Z  * [new tag]                 v2.1.0-rc5                  -> v2.1.0-rc5
2025-10-10T00:34:11.1476368Z  * [new tag]                 v2.1.0-rc6                  -> v2.1.0-rc6
2025-10-10T00:34:11.1476924Z  * [new tag]                 v2.1.1                      -> v2.1.1
2025-10-10T00:34:11.1477270Z  * [new tag]                 v2.1.1-rc1                  -> v2.1.1-rc1
2025-10-10T00:34:11.1477847Z  * [new tag]                 v2.1.1-rc2                  -> v2.1.1-rc2
2025-10-10T00:34:11.1478313Z  * [new tag]                 v2.1.1-rc3                  -> v2.1.1-rc3
2025-10-10T00:34:11.1478732Z  * [new tag]                 v2.1.1-rc4                  -> v2.1.1-rc4
2025-10-10T00:34:11.1479277Z  * [new tag]                 v2.1.1-rc5                  -> v2.1.1-rc5
2025-10-10T00:34:11.1479497Z  * [new tag]                 v2.1.1-rc6                  -> v2.1.1-rc6
2025-10-10T00:34:11.1480040Z  * [new tag]                 v2.1.2                      -> v2.1.2
2025-10-10T00:34:11.1480465Z  * [new tag]                 v2.1.2-rc1                  -> v2.1.2-rc1
2025-10-10T00:34:11.1481085Z  * [new tag]                 v2.1.2-rc2                  -> v2.1.2-rc2
2025-10-10T00:34:11.1481349Z  * [new tag]                 v2.1.2-rc3                  -> v2.1.2-rc3
2025-10-10T00:34:11.1481896Z  * [new tag]                 v2.2.0                      -> v2.2.0
2025-10-10T00:34:11.1482330Z  * [new tag]                 v2.2.0-rc1                  -> v2.2.0-rc1
2025-10-10T00:34:11.1482748Z  * [new tag]                 v2.2.0-rc2                  -> v2.2.0-rc2
2025-10-10T00:34:11.1483284Z  * [new tag]                 v2.2.0-rc3                  -> v2.2.0-rc3
2025-10-10T00:34:11.1483633Z  * [new tag]                 v2.2.0-rc4                  -> v2.2.0-rc4
2025-10-10T00:34:11.1484187Z  * [new tag]                 v2.2.0-rc5                  -> v2.2.0-rc5
2025-10-10T00:34:11.1484554Z  * [new tag]                 v2.2.0-rc6                  -> v2.2.0-rc6
2025-10-10T00:34:11.1484902Z  * [new tag]                 v2.2.0-rc7                  -> v2.2.0-rc7
2025-10-10T00:34:11.1485240Z  * [new tag]                 v2.2.0-rc8                  -> v2.2.0-rc8
2025-10-10T00:34:11.1485780Z  * [new tag]                 v2.2.1                      -> v2.2.1
2025-10-10T00:34:11.1486316Z  * [new tag]                 v2.2.1-rc1                  -> v2.2.1-rc1
2025-10-10T00:34:11.1486660Z  * [new tag]                 v2.2.1-rc2                  -> v2.2.1-rc2
2025-10-10T00:34:11.1487038Z  * [new tag]                 v2.2.1-rc3                  -> v2.2.1-rc3
2025-10-10T00:34:11.1487321Z  * [new tag]                 v2.2.2                      -> v2.2.2
2025-10-10T00:34:11.1487977Z  * [new tag]                 v2.2.2-rc1                  -> v2.2.2-rc1
2025-10-10T00:34:11.1488211Z  * [new tag]                 v2.2.2-rc2                  -> v2.2.2-rc2
2025-10-10T00:34:11.1488555Z  * [new tag]                 v2.2.2-rc3                  -> v2.2.2-rc3
2025-10-10T00:34:11.1489126Z  * [new tag]                 v2.3.0                      -> v2.3.0
2025-10-10T00:34:11.1489510Z  * [new tag]                 v2.3.0-rc1                  -> v2.3.0-rc1
2025-10-10T00:34:11.1490113Z  * [new tag]                 v2.3.0-rc10                 -> v2.3.0-rc10
2025-10-10T00:34:11.1490730Z  * [new tag]                 v2.3.0-rc11                 -> v2.3.0-rc11
2025-10-10T00:34:11.1491004Z  * [new tag]                 v2.3.0-rc12                 -> v2.3.0-rc12
2025-10-10T00:34:11.1491550Z  * [new tag]                 v2.3.0-rc2                  -> v2.3.0-rc2
2025-10-10T00:34:11.1492330Z  * [new tag]                 v2.3.0-rc3                  -> v2.3.0-rc3
2025-10-10T00:34:11.1492743Z  * [new tag]                 v2.3.0-rc4                  -> v2.3.0-rc4
2025-10-10T00:34:11.1493275Z  * [new tag]                 v2.3.0-rc5                  -> v2.3.0-rc5
2025-10-10T00:34:11.1493499Z  * [new tag]                 v2.3.0-rc6                  -> v2.3.0-rc6
2025-10-10T00:34:11.1494068Z  * [new tag]                 v2.3.0-rc7                  -> v2.3.0-rc7
2025-10-10T00:34:11.1494452Z  * [new tag]                 v2.3.0-rc8                  -> v2.3.0-rc8
2025-10-10T00:34:11.1494773Z  * [new tag]                 v2.3.0-rc9                  -> v2.3.0-rc9
2025-10-10T00:34:11.1495104Z  * [new tag]                 v2.3.1                      -> v2.3.1
2025-10-10T00:34:11.1495644Z  * [new tag]                 v2.3.1-rc1                  -> v2.3.1-rc1
2025-10-10T00:34:11.1496013Z  * [new tag]                 v2.3.1-rc2                  -> v2.3.1-rc2
2025-10-10T00:34:11.1496634Z  * [new tag]                 v2.3.1-rc3                  -> v2.3.1-rc3
2025-10-10T00:34:11.1497032Z  * [new tag]                 v2.4.0                      -> v2.4.0
2025-10-10T00:34:11.1497573Z  * [new tag]                 v2.4.0-rc1                  -> v2.4.0-rc1
2025-10-10T00:34:11.1497943Z  * [new tag]                 v2.4.0-rc2                  -> v2.4.0-rc2
2025-10-10T00:34:11.1498494Z  * [new tag]                 v2.4.0-rc3                  -> v2.4.0-rc3
2025-10-10T00:34:11.1499075Z  * [new tag]                 v2.4.0-rc4                  -> v2.4.0-rc4
2025-10-10T00:34:11.1499749Z  * [new tag]                 v2.4.0-rc5                  -> v2.4.0-rc5
2025-10-10T00:34:11.1500003Z  * [new tag]                 v2.4.0-rc6                  -> v2.4.0-rc6
2025-10-10T00:34:11.1500572Z  * [new tag]                 v2.4.0-rc7                  -> v2.4.0-rc7
2025-10-10T00:34:11.1500928Z  * [new tag]                 v2.4.0-rc8                  -> v2.4.0-rc8
2025-10-10T00:34:11.1501509Z  * [new tag]                 v2.4.0-rc9                  -> v2.4.0-rc9
2025-10-10T00:34:11.1501828Z  * [new tag]                 v2.4.1                      -> v2.4.1
2025-10-10T00:34:11.1502353Z  * [new tag]                 v2.4.1-rc1                  -> v2.4.1-rc1
2025-10-10T00:34:11.1502856Z  * [new tag]                 v2.4.1-rc2                  -> v2.4.1-rc2
2025-10-10T00:34:11.1503421Z  * [new tag]                 v2.4.1-rc3                  -> v2.4.1-rc3
2025-10-10T00:34:11.1503919Z  * [new tag]                 v2.5.0                      -> v2.5.0
2025-10-10T00:34:11.1504315Z  * [new tag]                 v2.5.0-rc1                  -> v2.5.0-rc1
2025-10-10T00:34:11.1504625Z  * [new tag]                 v2.5.0-rc10                 -> v2.5.0-rc10
2025-10-10T00:34:11.1505165Z  * [new tag]                 v2.5.0-rc2                  -> v2.5.0-rc2
2025-10-10T00:34:11.1505591Z  * [new tag]                 v2.5.0-rc3                  -> v2.5.0-rc3
2025-10-10T00:34:11.1506088Z  * [new tag]                 v2.5.0-rc4                  -> v2.5.0-rc4
2025-10-10T00:34:11.1506506Z  * [new tag]                 v2.5.0-rc5                  -> v2.5.0-rc5
2025-10-10T00:34:11.1507091Z  * [new tag]                 v2.5.0-rc6                  -> v2.5.0-rc6
2025-10-10T00:34:11.1507571Z  * [new tag]                 v2.5.0-rc7                  -> v2.5.0-rc7
2025-10-10T00:34:11.1508050Z  * [new tag]                 v2.5.0-rc8                  -> v2.5.0-rc8
2025-10-10T00:34:11.1508527Z  * [new tag]                 v2.5.0-rc9                  -> v2.5.0-rc9
2025-10-10T00:34:11.1508863Z  * [new tag]                 v2.5.1                      -> v2.5.1
2025-10-10T00:34:11.1509152Z  * [new tag]                 v2.5.1-rc1                  -> v2.5.1-rc1
2025-10-10T00:34:11.1509456Z  * [new tag]                 v2.6.0                      -> v2.6.0
2025-10-10T00:34:11.1510056Z  * [new tag]                 v2.6.0-rc1                  -> v2.6.0-rc1
2025-10-10T00:34:11.1510619Z  * [new tag]                 v2.6.0-rc2                  -> v2.6.0-rc2
2025-10-10T00:34:11.1511055Z  * [new tag]                 v2.6.0-rc3                  -> v2.6.0-rc3
2025-10-10T00:34:11.1511611Z  * [new tag]                 v2.6.0-rc4                  -> v2.6.0-rc4
2025-10-10T00:34:11.1512242Z  * [new tag]                 v2.6.0-rc5                  -> v2.6.0-rc5
2025-10-10T00:34:11.1512813Z  * [new tag]                 v2.6.0-rc6                  -> v2.6.0-rc6
2025-10-10T00:34:11.1513239Z  * [new tag]                 v2.6.0-rc7                  -> v2.6.0-rc7
2025-10-10T00:34:11.1514013Z  * [new tag]                 v2.6.0-rc8                  -> v2.6.0-rc8
2025-10-10T00:34:11.1514550Z  * [new tag]                 v2.6.0-rc9                  -> v2.6.0-rc9
2025-10-10T00:34:11.1515115Z  * [new tag]                 v2.7.0                      -> v2.7.0
2025-10-10T00:34:11.1515643Z  * [new tag]                 v2.7.0-rc1                  -> v2.7.0-rc1
2025-10-10T00:34:11.1515886Z  * [new tag]                 v2.7.0-rc10                 -> v2.7.0-rc10
2025-10-10T00:34:11.1516505Z  * [new tag]                 v2.7.0-rc2                  -> v2.7.0-rc2
2025-10-10T00:34:11.1517071Z  * [new tag]                 v2.7.0-rc3                  -> v2.7.0-rc3
2025-10-10T00:34:11.1517481Z  * [new tag]                 v2.7.0-rc4                  -> v2.7.0-rc4
2025-10-10T00:34:11.1518013Z  * [new tag]                 v2.7.0-rc5                  -> v2.7.0-rc5
2025-10-10T00:34:11.1518390Z  * [new tag]                 v2.7.0-rc6                  -> v2.7.0-rc6
2025-10-10T00:34:11.1518937Z  * [new tag]                 v2.7.0-rc7                  -> v2.7.0-rc7
2025-10-10T00:34:11.1519506Z  * [new tag]                 v2.7.0-rc8                  -> v2.7.0-rc8
2025-10-10T00:34:11.1519906Z  * [new tag]                 v2.7.0-rc9                  -> v2.7.0-rc9
2025-10-10T00:34:11.1520200Z  * [new tag]                 v2.7.1                      -> v2.7.1
2025-10-10T00:34:11.1520791Z  * [new tag]                 v2.7.1-rc1                  -> v2.7.1-rc1
2025-10-10T00:34:11.1521354Z  * [new tag]                 v2.7.1-rc2                  -> v2.7.1-rc2
2025-10-10T00:34:11.1521832Z  * [new tag]                 v2.7.1-rc3                  -> v2.7.1-rc3
2025-10-10T00:34:11.1522376Z  * [new tag]                 v2.7.1-rc4                  -> v2.7.1-rc4
2025-10-10T00:34:11.1523115Z  * [new tag]                 v2.7.1-rc5                  -> v2.7.1-rc5
2025-10-10T00:34:11.1523445Z  * [new tag]                 v2.8.0                      -> v2.8.0
2025-10-10T00:34:11.1524001Z  * [new tag]                 v2.8.0-rc1                  -> v2.8.0-rc1
2025-10-10T00:34:11.1524413Z  * [new tag]                 v2.8.0-rc2                  -> v2.8.0-rc2
2025-10-10T00:34:11.1525076Z  * [new tag]                 v2.8.0-rc3                  -> v2.8.0-rc3
2025-10-10T00:34:11.1525607Z  * [new tag]                 v2.8.0-rc4                  -> v2.8.0-rc4
2025-10-10T00:34:11.1526133Z  * [new tag]                 v2.8.0-rc5                  -> v2.8.0-rc5
2025-10-10T00:34:11.1526554Z  * [new tag]                 v2.8.0-rc6                  -> v2.8.0-rc6
2025-10-10T00:34:11.1527122Z  * [new tag]                 v2.8.0-rc7                  -> v2.8.0-rc7
2025-10-10T00:34:11.1527490Z  * [new tag]                 v2.8.0-rc8                  -> v2.8.0-rc8
2025-10-10T00:34:11.1528131Z  * [new tag]                 v2.9.0-rc1                  -> v2.9.0-rc1
2025-10-10T00:34:11.1528805Z  * [new tag]                 v2.9.0-rc2                  -> v2.9.0-rc2
2025-10-10T00:34:11.1529451Z  * [new tag]                 v2.9.0-rc3                  -> v2.9.0-rc3
2025-10-10T00:34:11.1529875Z  * [new tag]                 v2.9.0-rc4                  -> v2.9.0-rc4
2025-10-10T00:34:11.1530281Z  * [new tag]                 v2.9.0-rc5                  -> v2.9.0-rc5
2025-10-10T00:34:11.1531027Z  * [new tag]                 v2.9.0-rc6                  -> v2.9.0-rc6
2025-10-10T00:34:11.1531345Z  * [new tag]                 v2.9.0-rc7                  -> v2.9.0-rc7
2025-10-10T00:34:11.1532083Z  * [new tag]                 v2.9.0-rc8                  -> v2.9.0-rc8
2025-10-10T00:34:11.1532357Z  * [new tag]                 v2.9.0-rc9                  -> v2.9.0-rc9
2025-10-10T00:34:11.1533116Z  * [new tag]                 viable/strict/1759343184    -> viable/strict/1759343184
2025-10-10T00:34:11.1533481Z  * [new tag]                 viable/strict/1759346540    -> viable/strict/1759346540
2025-10-10T00:34:11.1533812Z  * [new tag]                 viable/strict/1759348181    -> viable/strict/1759348181
2025-10-10T00:34:11.1534374Z  * [new tag]                 viable/strict/1759350324    -> viable/strict/1759350324
2025-10-10T00:34:11.1534718Z  * [new tag]                 viable/strict/1759351793    -> viable/strict/1759351793
2025-10-10T00:34:11.1535124Z  * [new tag]                 viable/strict/1759353844    -> viable/strict/1759353844
2025-10-10T00:34:11.1535660Z  * [new tag]                 viable/strict/1759355374    -> viable/strict/1759355374
2025-10-10T00:34:11.1535959Z  * [new tag]                 viable/strict/1759357472    -> viable/strict/1759357472
2025-10-10T00:34:11.1536401Z  * [new tag]                 viable/strict/1759361002    -> viable/strict/1759361002
2025-10-10T00:34:11.1537045Z  * [new tag]                 viable/strict/1759362585    -> viable/strict/1759362585
2025-10-10T00:34:11.1537569Z  * [new tag]                 viable/strict/1759365359    -> viable/strict/1759365359
2025-10-10T00:34:11.1538022Z  * [new tag]                 viable/strict/1759370089    -> viable/strict/1759370089
2025-10-10T00:34:11.1538470Z  * [new tag]                 viable/strict/1759377554    -> viable/strict/1759377554
2025-10-10T00:34:11.1538906Z  * [new tag]                 viable/strict/1759379133    -> viable/strict/1759379133
2025-10-10T00:34:11.1539166Z  * [new tag]                 viable/strict/1759389871    -> viable/strict/1759389871
2025-10-10T00:34:11.1539539Z  * [new tag]                 viable/strict/1759393562    -> viable/strict/1759393562
2025-10-10T00:34:11.1539848Z  * [new tag]                 viable/strict/1759395076    -> viable/strict/1759395076
2025-10-10T00:34:11.1540208Z  * [new tag]                 viable/strict/1759398579    -> viable/strict/1759398579
2025-10-10T00:34:11.1540566Z  * [new tag]                 viable/strict/1759404142    -> viable/strict/1759404142
2025-10-10T00:34:11.1540940Z  * [new tag]                 viable/strict/1759405773    -> viable/strict/1759405773
2025-10-10T00:34:11.1541248Z  * [new tag]                 viable/strict/1759408041    -> viable/strict/1759408041
2025-10-10T00:34:11.1541653Z  * [new tag]                 viable/strict/1759411593    -> viable/strict/1759411593
2025-10-10T00:34:11.1542195Z  * [new tag]                 viable/strict/1759427395    -> viable/strict/1759427395
2025-10-10T00:34:11.1542507Z  * [new tag]                 viable/strict/1759434582    -> viable/strict/1759434582
2025-10-10T00:34:11.1542839Z  * [new tag]                 viable/strict/1759436720    -> viable/strict/1759436720
2025-10-10T00:34:11.1543188Z  * [new tag]                 viable/strict/1759440219    -> viable/strict/1759440219
2025-10-10T00:34:11.1543552Z  * [new tag]                 viable/strict/1759441948    -> viable/strict/1759441948
2025-10-10T00:34:11.1543889Z  * [new tag]                 viable/strict/1759443860    -> viable/strict/1759443860
2025-10-10T00:34:11.1544262Z  * [new tag]                 viable/strict/1759445377    -> viable/strict/1759445377
2025-10-10T00:34:11.1544605Z  * [new tag]                 viable/strict/1759447415    -> viable/strict/1759447415
2025-10-10T00:34:11.1544945Z  * [new tag]                 viable/strict/1759451750    -> viable/strict/1759451750
2025-10-10T00:34:11.1545319Z  * [new tag]                 viable/strict/1759453910    -> viable/strict/1759453910
2025-10-10T00:34:11.1545641Z  * [new tag]                 viable/strict/1759456483    -> viable/strict/1759456483
2025-10-10T00:34:11.1545990Z  * [new tag]                 viable/strict/1759459279    -> viable/strict/1759459279
2025-10-10T00:34:11.1546353Z  * [new tag]                 viable/strict/1759460742    -> viable/strict/1759460742
2025-10-10T00:34:11.1546675Z  * [new tag]                 viable/strict/1759462025    -> viable/strict/1759462025
2025-10-10T00:34:11.1547096Z  * [new tag]                 viable/strict/1759469086    -> viable/strict/1759469086
2025-10-10T00:34:11.1547477Z  * [new tag]                 viable/strict/1759470581    -> viable/strict/1759470581
2025-10-10T00:34:11.1547792Z  * [new tag]                 viable/strict/1759472786    -> viable/strict/1759472786
2025-10-10T00:34:11.1548136Z  * [new tag]                 viable/strict/1759476294    -> viable/strict/1759476294
2025-10-10T00:34:11.1548510Z  * [new tag]                 viable/strict/1759479963    -> viable/strict/1759479963
2025-10-10T00:34:11.1548863Z  * [new tag]                 viable/strict/1759492177    -> viable/strict/1759492177
2025-10-10T00:34:11.1549169Z  * [new tag]                 viable/strict/1759519278    -> viable/strict/1759519278
2025-10-10T00:34:11.1549517Z  * [new tag]                 viable/strict/1759524580    -> viable/strict/1759524580
2025-10-10T00:34:11.1549873Z  * [new tag]                 viable/strict/1759528193    -> viable/strict/1759528193
2025-10-10T00:34:11.1550224Z  * [new tag]                 viable/strict/1759533797    -> viable/strict/1759533797
2025-10-10T00:34:11.1550535Z  * [new tag]                 viable/strict/1759542780    -> viable/strict/1759542780
2025-10-10T00:34:11.1550885Z  * [new tag]                 viable/strict/1759549779    -> viable/strict/1759549779
2025-10-10T00:34:11.1551273Z  * [new tag]                 viable/strict/1759555455    -> viable/strict/1759555455
2025-10-10T00:34:11.1551643Z  * [new tag]                 viable/strict/1759559176    -> viable/strict/1759559176
2025-10-10T00:34:11.1551953Z  * [new tag]                 viable/strict/1759560629    -> viable/strict/1759560629
2025-10-10T00:34:11.1552398Z  * [new tag]                 viable/strict/1759569848    -> viable/strict/1759569848
2025-10-10T00:34:11.1552753Z  * [new tag]                 viable/strict/1759571382    -> viable/strict/1759571382
2025-10-10T00:34:11.1553189Z  * [new tag]                 viable/strict/1759573474    -> viable/strict/1759573474
2025-10-10T00:34:11.1553833Z  * [new tag]                 viable/strict/1759618187    -> viable/strict/1759618187
2025-10-10T00:34:11.1554147Z  * [new tag]                 viable/strict/1759626742    -> viable/strict/1759626742
2025-10-10T00:34:11.1554499Z  * [new tag]                 viable/strict/1759632427    -> viable/strict/1759632427
2025-10-10T00:34:11.1554866Z  * [new tag]                 viable/strict/1759634971    -> viable/strict/1759634971
2025-10-10T00:34:11.1555227Z  * [new tag]                 viable/strict/1759661382    -> viable/strict/1759661382
2025-10-10T00:34:11.1555563Z  * [new tag]                 viable/strict/1759663294    -> viable/strict/1759663294
2025-10-10T00:34:11.1555868Z  * [new tag]                 viable/strict/1759708178    -> viable/strict/1759708178
2025-10-10T00:34:11.1556221Z  * [new tag]                 viable/strict/1759715695    -> viable/strict/1759715695
2025-10-10T00:34:11.1556569Z  * [new tag]                 viable/strict/1759728293    -> viable/strict/1759728293
2025-10-10T00:34:11.1556926Z  * [new tag]                 viable/strict/1759735513    -> viable/strict/1759735513
2025-10-10T00:34:11.1557246Z  * [new tag]                 viable/strict/1759739177    -> viable/strict/1759739177
2025-10-10T00:34:11.1557622Z  * [new tag]                 viable/strict/1759758635    -> viable/strict/1759758635
2025-10-10T00:34:11.1557970Z  * [new tag]                 viable/strict/1759765784    -> viable/strict/1759765784
2025-10-10T00:34:11.1558331Z  * [new tag]                 viable/strict/1759767948    -> viable/strict/1759767948
2025-10-10T00:34:11.1558699Z  * [new tag]                 viable/strict/1759771461    -> viable/strict/1759771461
2025-10-10T00:34:11.1559003Z  * [new tag]                 viable/strict/1759776706    -> viable/strict/1759776706
2025-10-10T00:34:11.1559362Z  * [new tag]                 viable/strict/1759782317    -> viable/strict/1759782317
2025-10-10T00:34:11.1559715Z  * [new tag]                 viable/strict/1759783777    -> viable/strict/1759783777
2025-10-10T00:34:11.1560046Z  * [new tag]                 viable/strict/1759785815    -> viable/strict/1759785815
2025-10-10T00:34:11.1560430Z  * [new tag]                 viable/strict/1759789459    -> viable/strict/1759789459
2025-10-10T00:34:11.1560798Z  * [new tag]                 viable/strict/1759790974    -> viable/strict/1759790974
2025-10-10T00:34:11.1561114Z  * [new tag]                 viable/strict/1759794583    -> viable/strict/1759794583
2025-10-10T00:34:11.1561496Z  * [new tag]                 viable/strict/1759797408    -> viable/strict/1759797408
2025-10-10T00:34:11.1561837Z  * [new tag]                 viable/strict/1759799518    -> viable/strict/1759799518
2025-10-10T00:34:11.1562155Z  * [new tag]                 viable/strict/1759804909    -> viable/strict/1759804909
2025-10-10T00:34:11.1562503Z  * [new tag]                 viable/strict/1759807643    -> viable/strict/1759807643
2025-10-10T00:34:11.1562963Z  * [new tag]                 viable/strict/1759809089    -> viable/strict/1759809089
2025-10-10T00:34:11.1563291Z  * [new tag]                 viable/strict/1759811145    -> viable/strict/1759811145
2025-10-10T00:34:11.1563647Z  * [new tag]                 viable/strict/1759812581    -> viable/strict/1759812581
2025-10-10T00:34:11.1564008Z  * [new tag]                 viable/strict/1759814683    -> viable/strict/1759814683
2025-10-10T00:34:11.1564354Z  * [new tag]                 viable/strict/1759821889    -> viable/strict/1759821889
2025-10-10T00:34:11.1564843Z  * [new tag]                 viable/strict/1759823376    -> viable/strict/1759823376
2025-10-10T00:34:11.1565140Z  * [new tag]                 viable/strict/1759827107    -> viable/strict/1759827107
2025-10-10T00:34:11.1565465Z  * [new tag]                 viable/strict/1759830577    -> viable/strict/1759830577
2025-10-10T00:34:11.1565811Z  * [new tag]                 viable/strict/1759832720    -> viable/strict/1759832720
2025-10-10T00:34:11.1566185Z  * [new tag]                 viable/strict/1759842063    -> viable/strict/1759842063
2025-10-10T00:34:11.1566526Z  * [new tag]                 viable/strict/1759847121    -> viable/strict/1759847121
2025-10-10T00:34:11.1566866Z  * [new tag]                 viable/strict/1759850721    -> viable/strict/1759850721
2025-10-10T00:34:11.1567232Z  * [new tag]                 viable/strict/1759857870    -> viable/strict/1759857870
2025-10-10T00:34:11.1567579Z  * [new tag]                 viable/strict/1759863143    -> viable/strict/1759863143
2025-10-10T00:34:11.1567927Z  * [new tag]                 viable/strict/1759875874    -> viable/strict/1759875874
2025-10-10T00:34:11.1568274Z  * [new tag]                 viable/strict/1759877385    -> viable/strict/1759877385
2025-10-10T00:34:11.1568636Z  * [new tag]                 viable/strict/1759883801    -> viable/strict/1759883801
2025-10-10T00:34:11.1569041Z  * [new tag]                 viable/strict/1759885922    -> viable/strict/1759885922
2025-10-10T00:34:11.1569416Z  * [new tag]                 viable/strict/1759888488    -> viable/strict/1759888488
2025-10-10T00:34:11.1569736Z  * [new tag]                 viable/strict/1759895471    -> viable/strict/1759895471
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2025-10-10T00:34:11.1575875Z  * [new tag]                 viable/strict/1759996180    -> viable/strict/1759996180
2025-10-10T00:34:11.1576495Z  * [new tag]                 whc_flight_1                -> whc_flight_1
2025-10-10T00:34:11.1577046Z  * [new tag]                 whc_flight_2                -> whc_flight_2
2025-10-10T00:34:11.1577725Z  * [new tag]                 whc_flight_4                -> whc_flight_4
2025-10-10T00:34:11.2037983Z [command]/usr/bin/git rev-parse --verify --quiet 344e6365a0068c2d2847fcec0c55dd53291d475e^{object}
2025-10-10T00:34:11.2057524Z 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:34:11.2060212Z ##[endgroup]
2025-10-10T00:34:11.2060418Z ##[group]Determining the checkout info
2025-10-10T00:34:11.2060979Z ##[endgroup]
2025-10-10T00:34:11.2065247Z [command]/usr/bin/git sparse-checkout disable
2025-10-10T00:34:11.2092030Z [command]/usr/bin/git config --local --unset-all extensions.worktreeConfig
2025-10-10T00:34:11.2111154Z ##[group]Checking out the ref
2025-10-10T00:34:11.2114354Z [command]/usr/bin/git checkout --progress --force 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:34:12.1895287Z Note: switching to '344e6365a0068c2d2847fcec0c55dd53291d475e'.
2025-10-10T00:34:12.1895486Z 
2025-10-10T00:34:12.1895635Z You are in 'detached HEAD' state. You can look around, make experimental
2025-10-10T00:34:12.1895952Z changes and commit them, and you can discard any commits you make in this
2025-10-10T00:34:12.1896272Z state without impacting any branches by switching back to a branch.
2025-10-10T00:34:12.1896462Z 
2025-10-10T00:34:12.1896619Z If you want to create a new branch to retain commits you create, you may
2025-10-10T00:34:12.1896920Z do so (now or later) by using -c with the switch command. Example:
2025-10-10T00:34:12.1897084Z 
2025-10-10T00:34:12.1897173Z   git switch -c <new-branch-name>
2025-10-10T00:34:12.1897297Z 
2025-10-10T00:34:12.1897368Z Or undo this operation with:
2025-10-10T00:34:12.1897490Z 
2025-10-10T00:34:12.1897564Z   git switch -
2025-10-10T00:34:12.1897658Z 
2025-10-10T00:34:12.1897804Z Turn off this advice by setting config variable advice.detachedHead to false
2025-10-10T00:34:12.1897999Z 
2025-10-10T00:34:12.1898303Z HEAD is now at 344e6365a00 [inductor][eazy] change how torch.use_deterministic_algorithms affect inductor (#164905)
2025-10-10T00:34:12.1942485Z ##[endgroup]
2025-10-10T00:34:12.1942772Z ##[group]Setting up auth for fetching submodules
2025-10-10T00:34:12.1948815Z [command]/usr/bin/git config --global http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-10-10T00:34:12.1990186Z [command]/usr/bin/git config --global --unset-all url.https://github.com/.insteadOf
2025-10-10T00:34:12.2012553Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf git@github.com:
2025-10-10T00:34:12.2031325Z [command]/usr/bin/git config --global --add url.https://github.com/.insteadOf org-21003710@github.com:
2025-10-10T00:34:12.2050421Z ##[endgroup]
2025-10-10T00:34:12.2050703Z ##[group]Fetching submodules
2025-10-10T00:34:12.2054386Z [command]/usr/bin/git submodule sync --recursive
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2025-10-10T00:34:12.2563775Z Submodule 'android/libs/fbjni' (https://github.com/facebookincubator/fbjni.git) registered for path 'android/libs/fbjni'
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2025-10-10T00:34:12.2564988Z Submodule 'third_party/NNPACK_deps/FXdiv' (https://github.com/Maratyszcza/FXdiv.git) registered for path 'third_party/FXdiv'
2025-10-10T00:34:12.2565546Z Submodule 'third_party/NNPACK' (https://github.com/Maratyszcza/NNPACK.git) registered for path 'third_party/NNPACK'
2025-10-10T00:34:12.2566063Z Submodule 'third_party/NVTX' (https://github.com/NVIDIA/NVTX.git) registered for path 'third_party/NVTX'
2025-10-10T00:34:12.2567370Z Submodule 'third_party/VulkanMemoryAllocator' (https://github.com/GPUOpen-LibrariesAndSDKs/VulkanMemoryAllocator.git) registered for path 'third_party/VulkanMemoryAllocator'
2025-10-10T00:34:12.2568561Z Submodule 'third_party/XNNPACK' (https://github.com/google/XNNPACK.git) registered for path 'third_party/XNNPACK'
2025-10-10T00:34:12.2569943Z Submodule 'third_party/aiter' (https://github.com/ROCm/aiter.git) registered for path 'third_party/aiter'
2025-10-10T00:34:12.2572980Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/benchmark'
2025-10-10T00:34:12.2574704Z Submodule 'third_party/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/composable_kernel'
2025-10-10T00:34:12.2576085Z Submodule 'third_party/cpp-httplib' (https://github.com/yhirose/cpp-httplib.git) registered for path 'third_party/cpp-httplib'
2025-10-10T00:34:12.2577646Z Submodule 'third_party/cpuinfo' (https://github.com/pytorch/cpuinfo.git) registered for path 'third_party/cpuinfo'
2025-10-10T00:34:12.2579283Z Submodule 'third_party/cudnn_frontend' (https://github.com/NVIDIA/cudnn-frontend.git) registered for path 'third_party/cudnn_frontend'
2025-10-10T00:34:12.2580912Z Submodule 'third_party/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/cutlass'
2025-10-10T00:34:12.2582557Z Submodule 'third_party/fbgemm' (https://github.com/pytorch/fbgemm) registered for path 'third_party/fbgemm'
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2025-10-10T00:34:12.2588771Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/fmt'
2025-10-10T00:34:12.2590631Z Submodule 'third_party/gemmlowp/gemmlowp' (https://github.com/google/gemmlowp.git) registered for path 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:34:12.2592454Z Submodule 'third_party/gloo' (https://github.com/pytorch/gloo) registered for path 'third_party/gloo'
2025-10-10T00:34:12.2594349Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/googletest'
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2025-10-10T00:34:12.2598307Z Submodule 'third_party/ittapi' (https://github.com/intel/ittapi.git) registered for path 'third_party/ittapi'
2025-10-10T00:34:12.2600562Z Submodule 'third_party/kineto' (https://github.com/pytorch/kineto) registered for path 'third_party/kineto'
2025-10-10T00:34:12.2602668Z Submodule 'third_party/kleidiai' (https://github.com/ARM-software/kleidiai.git) registered for path 'third_party/kleidiai'
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2025-10-10T00:34:12.6515853Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep'...
2025-10-10T00:34:12.6516303Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gloo'...
2025-10-10T00:34:12.6516790Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/gemmlowp/gemmlowp'...
2025-10-10T00:34:12.6517307Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/benchmark'...
2025-10-10T00:34:12.6702373Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/VulkanMemoryAllocator'...
2025-10-10T00:34:13.5125968Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ittapi'...
2025-10-10T00:34:13.5126523Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/tensorpipe'...
2025-10-10T00:34:13.5127072Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention'...
2025-10-10T00:34:13.5127571Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kleidiai'...
2025-10-10T00:34:13.5128060Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpp-httplib'...
2025-10-10T00:34:13.5128527Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cpuinfo'...
2025-10-10T00:34:13.5129239Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/sleef'...
2025-10-10T00:34:13.5129711Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/mimalloc'...
2025-10-10T00:34:13.5130194Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/googletest'...
2025-10-10T00:34:13.5130675Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/pybind11'...
2025-10-10T00:34:13.5131122Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fmt'...
2025-10-10T00:34:13.5131598Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/cudnn_frontend'...
2025-10-10T00:34:13.5132143Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto'...
2025-10-10T00:34:13.6127226Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/XNNPACK'...
2025-10-10T00:34:21.8928640Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flatbuffers'...
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2025-10-10T00:34:21.9050581Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
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2025-10-10T00:34:22.5380073Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-10-10T00:34:22.6618844Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-10-10T00:34:22.6628677Z Submodule '3rdparty/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/aiter/3rdparty/composable_kernel'
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2025-10-10T00:34:25.7175891Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-10-10T00:34:25.9552729Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-10-10T00:34:25.9895483Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
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2025-10-10T00:34:26.6876407Z Submodule 'external/asmjit' (https://github.com/asmjit/asmjit.git) registered for path 'third_party/fbgemm/external/asmjit'
2025-10-10T00:34:26.6877194Z Submodule 'external/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:34:26.6878444Z Submodule 'external/cpuinfo' (https://github.com/pytorch/cpuinfo) registered for path 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:34:26.6879669Z Submodule 'external/cutlass' (https://github.com/jwfromm/cutlass) registered for path 'third_party/fbgemm/external/cutlass'
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2025-10-10T00:34:26.6882361Z Submodule 'external/hipify_torch' (https://github.com/ROCmSoftwarePlatform/hipify_torch.git) registered for path 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:34:26.6883707Z Submodule 'external/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/fbgemm/external/json'
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2025-10-10T00:34:27.7285450Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/hipify_torch'...
2025-10-10T00:34:27.7286107Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cpuinfo'...
2025-10-10T00:34:27.7286620Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/googletest'...
2025-10-10T00:34:27.8284876Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/composable_kernel'...
2025-10-10T00:34:29.5572385Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/cutlass'...
2025-10-10T00:34:29.6573195Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/fbgemm/external/json'...
2025-10-10T00:34:32.0565678Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-10-10T00:34:32.2935339Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-10-10T00:34:32.3719432Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-10-10T00:34:32.8458311Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917'
2025-10-10T00:34:32.8816390Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:34:32.8902838Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-10-10T00:34:32.9743418Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-10-10T00:34:33.0258988Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-10-10T00:34:33.0269118Z Submodule 'csrc/composable_kernel' (https://github.com/ROCm/composable_kernel.git) registered for path 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:34:33.0270212Z Submodule 'csrc/cutlass' (https://github.com/NVIDIA/cutlass.git) registered for path 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:34:33.0291707Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/composable_kernel'...
2025-10-10T00:34:35.8582693Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/flash-attention/csrc/cutlass'...
2025-10-10T00:34:36.0262173Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-10-10T00:34:36.4542015Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-10-10T00:34:36.5516552Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-10-10T00:34:36.5747092Z Submodule path 'third_party/fmt': checked out 'e424e3f2e607da02742f73db84873b8084fc714c'
2025-10-10T00:34:36.6046248Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-10-10T00:34:36.6228768Z Submodule path 'third_party/gloo': checked out '54cbae0d3a67fa890b4c3d9ee162b7860315e341'
2025-10-10T00:34:36.6570984Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:34:36.6661760Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-10-10T00:34:36.6673108Z Submodule 'mkl-dnn' (https://github.com/intel/mkl-dnn.git) registered for path 'third_party/ideep/mkl-dnn'
2025-10-10T00:34:36.6692818Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/ideep/mkl-dnn'...
2025-10-10T00:34:48.5726655Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-10-10T00:34:48.5875541Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-10-10T00:34:48.6618488Z Submodule path 'third_party/kineto': checked out '001ba8eb519438592f79dbc8e86a349f5f6c6829'
2025-10-10T00:34:48.6627552Z Submodule 'libkineto/third_party/dynolog' (https://github.com/facebookincubator/dynolog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:34:48.6628546Z Submodule 'libkineto/third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:34:48.6629907Z Submodule 'libkineto/third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:34:48.6650865Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog'...
2025-10-10T00:34:49.2330631Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/fmt'...
2025-10-10T00:34:49.5520370Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/googletest'...
2025-10-10T00:34:49.6201152Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out 'd2ffe0a4e3acace628db49974246b66fc3e85fb1'
2025-10-10T00:34:49.6212178Z Submodule 'third_party/DCGM' (https://github.com/NVIDIA/DCGM.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:34:49.6213430Z Submodule 'third_party/cpr' (https://github.com/libcpr/cpr.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:34:49.6214664Z Submodule 'third_party/fmt' (https://github.com/fmtlib/fmt.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:34:49.6216276Z Submodule 'third_party/gflags' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:34:49.6217596Z Submodule 'third_party/glog' (https://github.com/google/glog.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:34:49.6219026Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:34:49.6220466Z Submodule 'third_party/json' (https://github.com/nlohmann/json.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:34:49.6221934Z Submodule 'third_party/pfs' (https://github.com/dtrugman/pfs.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:34:49.6223492Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:34:49.6244642Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'...
2025-10-10T00:34:50.7918999Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'...
2025-10-10T00:34:50.7919766Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'...
2025-10-10T00:34:50.7920431Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'...
2025-10-10T00:34:50.7921082Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'...
2025-10-10T00:34:50.7921701Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/glog'...
2025-10-10T00:34:50.7922340Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'...
2025-10-10T00:34:50.7923229Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'...
2025-10-10T00:34:50.8917875Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/json'...
2025-10-10T00:34:55.0412784Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-10-10T00:34:55.0536493Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-10-10T00:34:55.0813157Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-10-10T00:34:55.0911543Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-10-10T00:34:55.0920294Z Submodule 'doc' (https://github.com/gflags/gflags.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:34:55.0939543Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'...
2025-10-10T00:34:55.3359816Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-10-10T00:34:55.3501233Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-10-10T00:34:55.3846351Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:34:55.4609879Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-10-10T00:34:55.4732299Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-10-10T00:34:55.4849261Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp': checked out 'b1234816facfdda29845c46696a02998a4af115a'
2025-10-10T00:34:55.4859941Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:34:55.4861061Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:34:55.4881946Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-10-10T00:34:57.7092015Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'...
2025-10-10T00:34:57.9062801Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'd7ba35bbb649209c66e582d5a0244ba988a15159'
2025-10-10T00:34:57.9415554Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-10-10T00:34:57.9674860Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-10-10T00:34:58.0024983Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-10-10T00:34:58.0353927Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-10-10T00:34:58.0644221Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-10-10T00:34:58.1485453Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-10-10T00:34:58.4075428Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-10-10T00:34:58.4095948Z Submodule 'third_party/pybind11' (https://github.com/pybind/pybind11.git) registered for path 'third_party/onnx/third_party/pybind11'
2025-10-10T00:34:58.4115715Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/onnx/third_party/pybind11'...
2025-10-10T00:34:59.7029843Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-10-10T00:34:59.7514116Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-10-10T00:34:59.7524178Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark) registered for path 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:34:59.7525029Z Submodule 'third_party/googletest' (https://github.com/google/googletest) registered for path 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:34:59.7526558Z Submodule 'third_party/ms-gsl' (https://github.com/microsoft/GSL) registered for path 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:34:59.7527920Z Submodule 'third_party/nlohmann-json' (https://github.com/nlohmann/json) registered for path 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:34:59.7529307Z Submodule 'third_party/opentelemetry-proto' (https://github.com/open-telemetry/opentelemetry-proto) registered for path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:34:59.7530593Z Submodule 'third_party/opentracing-cpp' (https://github.com/opentracing/opentracing-cpp.git) registered for path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:34:59.7531944Z Submodule 'third_party/prometheus-cpp' (https://github.com/jupp0r/prometheus-cpp) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:34:59.7533317Z Submodule 'tools/vcpkg' (https://github.com/Microsoft/vcpkg) registered for path 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:34:59.7554508Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/benchmark'...
2025-10-10T00:35:00.1598150Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentracing-cpp'...
2025-10-10T00:35:00.1599030Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/opentelemetry-proto'...
2025-10-10T00:35:00.1599705Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/ms-gsl'...
2025-10-10T00:35:00.1600369Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp'...
2025-10-10T00:35:00.2598709Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/googletest'...
2025-10-10T00:35:00.6821279Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/nlohmann-json'...
2025-10-10T00:35:05.4494293Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/tools/vcpkg'...
2025-10-10T00:35:06.0145985Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-10-10T00:35:06.0462692Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-10-10T00:35:06.0601234Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-10-10T00:35:06.1426314Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-10-10T00:35:06.1524658Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-10-10T00:35:06.1633865Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-10-10T00:35:06.1748046Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-10-10T00:35:06.1758607Z Submodule 'civetweb' (https://github.com/civetweb/civetweb.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:06.1759935Z Submodule 'googletest' (https://github.com/google/googletest.git) registered for path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:06.1779769Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'...
2025-10-10T00:35:08.2116567Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'...
2025-10-10T00:35:08.4078984Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-10-10T00:35:08.4439364Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-10-10T00:35:08.7441168Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-10-10T00:35:08.7534192Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-10-10T00:35:08.9586157Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-10-10T00:35:08.9599090Z Submodule 'third_party/benchmark' (https://github.com/google/benchmark.git) registered for path 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:35:08.9600345Z Submodule 'third_party/googletest' (https://github.com/google/googletest.git) registered for path 'third_party/protobuf/third_party/googletest'
2025-10-10T00:35:08.9620063Z Cloning into '/home/ec2-user/actions-runner/_work/pytorch/pytorch/third_party/protobuf/third_party/benchmark'...
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2025-10-10T00:35:09.9728519Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
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2025-10-10T00:35:11.9128627Z ##[endgroup]
2025-10-10T00:35:11.9128954Z ##[group]Persisting credentials for submodules
2025-10-10T00:35:11.9135013Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
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2025-10-10T00:35:12.3050864Z [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"
2025-10-10T00:35:12.3289948Z Entering 'android/libs/fbjni'
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2025-10-10T00:35:12.7468512Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2025-10-10T00:35:12.7480462Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:35:12.7519674Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2025-10-10T00:35:12.7531662Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:35:12.7570627Z file:/home/ec2-user/actions-runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-10-10T00:35:12.7584157Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:35:12.7624634Z 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
2025-10-10T00:35:12.8497658Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-10-10T00:35:12.8734147Z Entering 'android/libs/fbjni'
2025-10-10T00:35:12.8761860Z Entering 'third_party/FP16'
2025-10-10T00:35:12.8793489Z Entering 'third_party/FXdiv'
2025-10-10T00:35:12.8826223Z Entering 'third_party/NNPACK'
2025-10-10T00:35:12.8858843Z Entering 'third_party/NVTX'
2025-10-10T00:35:12.8892255Z Entering 'third_party/VulkanMemoryAllocator'
2025-10-10T00:35:12.8925613Z Entering 'third_party/XNNPACK'
2025-10-10T00:35:12.8965054Z Entering 'third_party/aiter'
2025-10-10T00:35:12.9000137Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T00:35:12.9036852Z Entering 'third_party/benchmark'
2025-10-10T00:35:12.9066760Z Entering 'third_party/composable_kernel'
2025-10-10T00:35:12.9104230Z Entering 'third_party/cpp-httplib'
2025-10-10T00:35:12.9134876Z Entering 'third_party/cpuinfo'
2025-10-10T00:35:12.9167746Z Entering 'third_party/cudnn_frontend'
2025-10-10T00:35:12.9200787Z Entering 'third_party/cutlass'
2025-10-10T00:35:12.9242884Z Entering 'third_party/fbgemm'
2025-10-10T00:35:12.9278067Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T00:35:12.9312186Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:35:12.9348804Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:35:12.9380115Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T00:35:12.9418227Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T00:35:12.9449128Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:35:12.9481364Z Entering 'third_party/fbgemm/external/json'
2025-10-10T00:35:12.9518909Z Entering 'third_party/flash-attention'
2025-10-10T00:35:12.9553627Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:35:12.9591558Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:35:12.9631214Z Entering 'third_party/flatbuffers'
2025-10-10T00:35:12.9666613Z Entering 'third_party/fmt'
2025-10-10T00:35:12.9699661Z Entering 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:35:12.9733284Z Entering 'third_party/gloo'
2025-10-10T00:35:12.9766025Z Entering 'third_party/googletest'
2025-10-10T00:35:12.9798117Z Entering 'third_party/ideep'
2025-10-10T00:35:12.9829444Z Entering 'third_party/ideep/mkl-dnn'
2025-10-10T00:35:12.9867353Z Entering 'third_party/ittapi'
2025-10-10T00:35:12.9901660Z Entering 'third_party/kineto'
2025-10-10T00:35:12.9935945Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:35:12.9970105Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:35:13.0002845Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:35:13.0032766Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:35:13.0064299Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:35:13.0094778Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
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2025-10-10T00:35:13.0160784Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:35:13.0193546Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:35:13.0227110Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:35:13.0259032Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:35:13.0289564Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:13.0325583Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:13.0362377Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:35:13.0395240Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:35:13.0431396Z Entering 'third_party/kleidiai'
2025-10-10T00:35:13.0465210Z Entering 'third_party/mimalloc'
2025-10-10T00:35:13.0498822Z Entering 'third_party/nlohmann'
2025-10-10T00:35:13.0528790Z Entering 'third_party/onnx'
2025-10-10T00:35:13.0572588Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:35:13.0607104Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:35:13.0641115Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:35:13.0671061Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:35:13.0703887Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:35:13.0735040Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:35:13.0767593Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:35:13.0801880Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:35:13.0831592Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:35:13.0862562Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:13.0895797Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:13.0929081Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:35:13.0975961Z Entering 'third_party/pocketfft'
2025-10-10T00:35:13.1009551Z Entering 'third_party/protobuf'
2025-10-10T00:35:13.1043926Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:35:13.1074893Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T00:35:13.1108822Z Entering 'third_party/psimd'
2025-10-10T00:35:13.1145026Z Entering 'third_party/pthreadpool'
2025-10-10T00:35:13.1180128Z Entering 'third_party/pybind11'
2025-10-10T00:35:13.1215256Z Entering 'third_party/python-peachpy'
2025-10-10T00:35:13.1247493Z Entering 'third_party/sleef'
2025-10-10T00:35:13.1280537Z Entering 'third_party/tensorpipe'
2025-10-10T00:35:13.1314424Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T00:35:13.1347481Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:35:13.1377401Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:35:13.1409411Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:35:13.1440665Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:35:13.1488730Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-10-10T00:35:13.1723753Z Entering 'android/libs/fbjni'
2025-10-10T00:35:13.1758656Z Entering 'third_party/FP16'
2025-10-10T00:35:13.1795159Z Entering 'third_party/FXdiv'
2025-10-10T00:35:13.1827520Z Entering 'third_party/NNPACK'
2025-10-10T00:35:13.1857968Z Entering 'third_party/NVTX'
2025-10-10T00:35:13.1890337Z Entering 'third_party/VulkanMemoryAllocator'
2025-10-10T00:35:13.1924762Z Entering 'third_party/XNNPACK'
2025-10-10T00:35:13.1970290Z Entering 'third_party/aiter'
2025-10-10T00:35:13.2005512Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T00:35:13.2043910Z Entering 'third_party/benchmark'
2025-10-10T00:35:13.2076275Z Entering 'third_party/composable_kernel'
2025-10-10T00:35:13.2116080Z Entering 'third_party/cpp-httplib'
2025-10-10T00:35:13.2148635Z Entering 'third_party/cpuinfo'
2025-10-10T00:35:13.2181649Z Entering 'third_party/cudnn_frontend'
2025-10-10T00:35:13.2214860Z Entering 'third_party/cutlass'
2025-10-10T00:35:13.2255984Z Entering 'third_party/fbgemm'
2025-10-10T00:35:13.2292041Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T00:35:13.2325717Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:35:13.2362977Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:35:13.2397803Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T00:35:13.2433686Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T00:35:13.2461652Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:35:13.2492702Z Entering 'third_party/fbgemm/external/json'
2025-10-10T00:35:13.2529001Z Entering 'third_party/flash-attention'
2025-10-10T00:35:13.2562508Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:35:13.2600904Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:35:13.2640366Z Entering 'third_party/flatbuffers'
2025-10-10T00:35:13.2676315Z Entering 'third_party/fmt'
2025-10-10T00:35:13.2711750Z Entering 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:35:13.2744721Z Entering 'third_party/gloo'
2025-10-10T00:35:13.2777883Z Entering 'third_party/googletest'
2025-10-10T00:35:13.2811383Z Entering 'third_party/ideep'
2025-10-10T00:35:13.2844196Z Entering 'third_party/ideep/mkl-dnn'
2025-10-10T00:35:13.2883426Z Entering 'third_party/ittapi'
2025-10-10T00:35:13.2917242Z Entering 'third_party/kineto'
2025-10-10T00:35:13.2947287Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:35:13.2980100Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:35:13.3013864Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:35:13.3045755Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:35:13.3075892Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:35:13.3107817Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:35:13.3142170Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:35:13.3172569Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:35:13.3206037Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:35:13.3239839Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:35:13.3271379Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:35:13.3303970Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:13.3337372Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:13.3371088Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:35:13.3405747Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:35:13.3440718Z Entering 'third_party/kleidiai'
2025-10-10T00:35:13.3474016Z Entering 'third_party/mimalloc'
2025-10-10T00:35:13.3505189Z Entering 'third_party/nlohmann'
2025-10-10T00:35:13.3537532Z Entering 'third_party/onnx'
2025-10-10T00:35:13.3581097Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:35:13.3615765Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:35:13.3648075Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:35:13.3680349Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:35:13.3711220Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:35:13.3743401Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:35:13.3778250Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:35:13.3813551Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:35:13.3842911Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:35:13.3876127Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:13.3909895Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:13.3942891Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:35:13.3987065Z Entering 'third_party/pocketfft'
2025-10-10T00:35:13.4020854Z Entering 'third_party/protobuf'
2025-10-10T00:35:13.4057471Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:35:13.4088213Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T00:35:13.4122250Z Entering 'third_party/psimd'
2025-10-10T00:35:13.4153800Z Entering 'third_party/pthreadpool'
2025-10-10T00:35:13.4186602Z Entering 'third_party/pybind11'
2025-10-10T00:35:13.4220797Z Entering 'third_party/python-peachpy'
2025-10-10T00:35:13.4253988Z Entering 'third_party/sleef'
2025-10-10T00:35:13.4288992Z Entering 'third_party/tensorpipe'
2025-10-10T00:35:13.4322647Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T00:35:13.4351163Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:35:13.4381198Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:35:13.4414438Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:35:13.4444980Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:35:13.4489485Z ##[endgroup]
2025-10-10T00:35:13.4517969Z [command]/usr/bin/git log -1 --format=%H
2025-10-10T00:35:13.4535852Z 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:35:13.4611077Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-10-10T00:35:13.4611337Z cd "${GITHUB_WORKSPACE}"
2025-10-10T00:35:13.4611556Z # Clean stale submodule dirs
2025-10-10T00:35:13.4611841Z if [ -z "${NO_SUDO}" ]; then
2025-10-10T00:35:13.4612091Z   sudo git submodule foreach --recursive git clean -ffdx
2025-10-10T00:35:13.4612334Z else
2025-10-10T00:35:13.4612541Z   git submodule foreach --recursive git clean -ffdx
2025-10-10T00:35:13.4612775Z fi
2025-10-10T00:35:13.4619840Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:35:13.4620096Z env:
2025-10-10T00:35:13.4620265Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:13.4620453Z   NO_SUDO: true
2025-10-10T00:35:13.4620608Z ##[endgroup]
2025-10-10T00:35:13.4874010Z Entering 'android/libs/fbjni'
2025-10-10T00:35:13.4897628Z Entering 'third_party/FP16'
2025-10-10T00:35:13.4922242Z Entering 'third_party/FXdiv'
2025-10-10T00:35:13.4947662Z Entering 'third_party/NNPACK'
2025-10-10T00:35:13.4976715Z Entering 'third_party/NVTX'
2025-10-10T00:35:13.5006601Z Entering 'third_party/VulkanMemoryAllocator'
2025-10-10T00:35:13.5032113Z Entering 'third_party/XNNPACK'
2025-10-10T00:35:13.5122457Z Entering 'third_party/aiter'
2025-10-10T00:35:13.5156348Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-10-10T00:35:13.5236780Z Entering 'third_party/benchmark'
2025-10-10T00:35:13.5260686Z Entering 'third_party/composable_kernel'
2025-10-10T00:35:13.5345282Z Entering 'third_party/cpp-httplib'
2025-10-10T00:35:13.5372011Z Entering 'third_party/cpuinfo'
2025-10-10T00:35:13.5400681Z Entering 'third_party/cudnn_frontend'
2025-10-10T00:35:13.5427404Z Entering 'third_party/cutlass'
2025-10-10T00:35:13.5500149Z Entering 'third_party/fbgemm'
2025-10-10T00:35:13.5543909Z Entering 'third_party/fbgemm/external/asmjit'
2025-10-10T00:35:13.5568231Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-10-10T00:35:13.5649752Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-10-10T00:35:13.5677122Z Entering 'third_party/fbgemm/external/cutlass'
2025-10-10T00:35:13.5750374Z Entering 'third_party/fbgemm/external/googletest'
2025-10-10T00:35:13.5776484Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-10-10T00:35:13.5800195Z Entering 'third_party/fbgemm/external/json'
2025-10-10T00:35:13.5833779Z Entering 'third_party/flash-attention'
2025-10-10T00:35:13.5864104Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-10-10T00:35:13.5933269Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-10-10T00:35:13.5998691Z Entering 'third_party/flatbuffers'
2025-10-10T00:35:13.6055162Z Entering 'third_party/fmt'
2025-10-10T00:35:13.6080577Z Entering 'third_party/gemmlowp/gemmlowp'
2025-10-10T00:35:13.6107473Z Entering 'third_party/gloo'
2025-10-10T00:35:13.6132718Z Entering 'third_party/googletest'
2025-10-10T00:35:13.6158823Z Entering 'third_party/ideep'
2025-10-10T00:35:13.6184042Z Entering 'third_party/ideep/mkl-dnn'
2025-10-10T00:35:13.6247924Z Entering 'third_party/ittapi'
2025-10-10T00:35:13.6274458Z Entering 'third_party/kineto'
2025-10-10T00:35:13.6303530Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-10-10T00:35:13.6332705Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-10-10T00:35:13.6366191Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-10-10T00:35:13.6388031Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-10-10T00:35:13.6412996Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-10-10T00:35:13.6437494Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-10-10T00:35:13.6462180Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-10-10T00:35:13.6487556Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-10-10T00:35:13.6514964Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-10-10T00:35:13.6547654Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-10-10T00:35:13.6572872Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp'
2025-10-10T00:35:13.6598213Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:13.6631998Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:13.6661781Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-10-10T00:35:13.6685571Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-10-10T00:35:13.6714779Z Entering 'third_party/kleidiai'
2025-10-10T00:35:13.6745998Z Entering 'third_party/mimalloc'
2025-10-10T00:35:13.6773948Z Entering 'third_party/nlohmann'
2025-10-10T00:35:13.6810817Z Entering 'third_party/onnx'
2025-10-10T00:35:13.7026622Z Entering 'third_party/onnx/third_party/pybind11'
2025-10-10T00:35:13.7051704Z Entering 'third_party/opentelemetry-cpp'
2025-10-10T00:35:13.7092982Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-10-10T00:35:13.7118954Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-10-10T00:35:13.7143385Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-10-10T00:35:13.7167367Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-10-10T00:35:13.7199783Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-10-10T00:35:13.7225238Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-10-10T00:35:13.7250511Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-10-10T00:35:13.7275641Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-10-10T00:35:13.7311032Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-10-10T00:35:13.7339474Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-10-10T00:35:13.7508844Z Entering 'third_party/pocketfft'
2025-10-10T00:35:13.7529223Z Entering 'third_party/protobuf'
2025-10-10T00:35:13.7584464Z Entering 'third_party/protobuf/third_party/benchmark'
2025-10-10T00:35:13.7608699Z Entering 'third_party/protobuf/third_party/googletest'
2025-10-10T00:35:13.7636649Z Entering 'third_party/psimd'
2025-10-10T00:35:13.7659970Z Entering 'third_party/pthreadpool'
2025-10-10T00:35:13.7685994Z Entering 'third_party/pybind11'
2025-10-10T00:35:13.7715151Z Entering 'third_party/python-peachpy'
2025-10-10T00:35:13.7738774Z Entering 'third_party/sleef'
2025-10-10T00:35:13.7766890Z Entering 'third_party/tensorpipe'
2025-10-10T00:35:13.7793230Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-10-10T00:35:13.7819488Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-10-10T00:35:13.7844157Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-10-10T00:35:13.7872095Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-10-10T00:35:13.7897487Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:35:13.8011344Z Prepare all required actions
2025-10-10T00:35:13.8011799Z Getting action download info
2025-10-10T00:35:13.9533877Z ##[group]Run ./.github/actions/setup-linux
2025-10-10T00:35:13.9534080Z env:
2025-10-10T00:35:13.9534233Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:13.9534397Z ##[endgroup]
2025-10-10T00:35:13.9569691Z ##[group]Run set -euo pipefail
2025-10-10T00:35:13.9569941Z set -euo pipefail
2025-10-10T00:35:13.9570134Z function get_ec2_metadata() {
2025-10-10T00:35:13.9570374Z   # Pulled from instance metadata endpoint for EC2
2025-10-10T00:35:13.9570754Z   # see https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data-retrieval.html
2025-10-10T00:35:13.9571080Z   category=$1
2025-10-10T00:35:13.9571310Z   # If it is GCP runner (runner name contains gcp), do not run this
2025-10-10T00:35:13.9571562Z   runner_name_str=i-0f16135f606f191c1
2025-10-10T00:35:13.9571819Z   if [[ -f /.inarc ]]; then
2025-10-10T00:35:13.9572037Z     echo "ARC Runner, no info on ec2 metadata"
2025-10-10T00:35:13.9572269Z   elif [[ $runner_name_str == *"gcp"* ]]; then
2025-10-10T00:35:13.9572543Z     echo "Runner is from Google Cloud Platform, No info on ec2 metadata"
2025-10-10T00:35:13.9572790Z   else
2025-10-10T00:35:13.9573283Z     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}"
2025-10-10T00:35:13.9573778Z   fi
2025-10-10T00:35:13.9573918Z }
2025-10-10T00:35:13.9574093Z echo "ami-id: $(get_ec2_metadata ami-id)"
2025-10-10T00:35:13.9574350Z echo "instance-id: $(get_ec2_metadata instance-id)"
2025-10-10T00:35:13.9574632Z echo "instance-type: $(get_ec2_metadata instance-type)"
2025-10-10T00:35:13.9574871Z echo "system info $(uname -a)"
2025-10-10T00:35:13.9579374Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:35:13.9579601Z env:
2025-10-10T00:35:13.9579751Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:13.9579916Z ##[endgroup]
2025-10-10T00:35:13.9685059Z ami-id: ami-08982f1c5bf93d976
2025-10-10T00:35:13.9808648Z instance-id: i-0f16135f606f191c1
2025-10-10T00:35:13.9885227Z instance-type: c7i.metal-24xl
2025-10-10T00:35:13.9894012Z system info Linux ip-10-0-43-101.ec2.internal 6.1.150-174.273.amzn2023.x86_64 #1 SMP PREEMPT_DYNAMIC Tue Sep  9 12:21:26 UTC 2025 x86_64 x86_64 x86_64 GNU/Linux
2025-10-10T00:35:13.9919695Z ##[group]Run if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-10-10T00:35:13.9920005Z if [ -f /usr/bin/nvidia-smi ]; then nvidia-smi; fi
2025-10-10T00:35:13.9923930Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:35:13.9924155Z env:
2025-10-10T00:35:13.9924311Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:13.9924491Z ##[endgroup]
2025-10-10T00:35:13.9961619Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:35:13.9962161Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:35:13.9966159Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:35:13.9966390Z env:
2025-10-10T00:35:13.9966539Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:13.9966718Z ##[endgroup]
2025-10-10T00:35:14.0008300Z ##[group]Run if systemctl is-active --quiet docker; then
2025-10-10T00:35:14.0008588Z if systemctl is-active --quiet docker; then
2025-10-10T00:35:14.0008840Z     echo "Docker daemon is running...";
2025-10-10T00:35:14.0009050Z else
2025-10-10T00:35:14.0009274Z     echo "Starting docker daemon..." && sudo systemctl start docker;
2025-10-10T00:35:14.0009535Z fi
2025-10-10T00:35:14.0013137Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:35:14.0013393Z env:
2025-10-10T00:35:14.0013538Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:14.0013714Z ##[endgroup]
2025-10-10T00:35:14.0069248Z Docker daemon is running...
2025-10-10T00:35:14.0103313Z ##[group]Run nick-fields/retry@v3.0.0
2025-10-10T00:35:14.0103522Z with:
2025-10-10T00:35:14.0103660Z   shell: bash
2025-10-10T00:35:14.0103815Z   timeout_minutes: 5
2025-10-10T00:35:14.0103982Z   max_attempts: 3
2025-10-10T00:35:14.0104144Z   retry_wait_seconds: 30
2025-10-10T00:35:14.0105390Z   command: AWS_ACCOUNT_ID=$(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

2025-10-10T00:35:14.0106595Z   polling_interval_seconds: 1
2025-10-10T00:35:14.0106787Z   warning_on_retry: true
2025-10-10T00:35:14.0106961Z   continue_on_error: false
2025-10-10T00:35:14.0107136Z env:
2025-10-10T00:35:14.0107295Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:14.0107467Z   AWS_RETRY_MODE: standard
2025-10-10T00:35:14.0107625Z   AWS_MAX_ATTEMPTS: 5
2025-10-10T00:35:14.0107802Z   AWS_DEFAULT_REGION: us-east-1
2025-10-10T00:35:14.0107993Z ##[endgroup]
2025-10-10T00:35:14.8769526Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:35:14.8769923Z Configure a credential helper to remove this warning. See
2025-10-10T00:35:14.8770294Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:35:14.8770524Z 
2025-10-10T00:35:14.8770601Z Login Succeeded
2025-10-10T00:35:15.1474921Z Command completed after 1 attempt(s).
2025-10-10T00:35:15.1526163Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:35:15.1526493Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:35:15.1526766Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:35:15.1533015Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:35:15.1533253Z env:
2025-10-10T00:35:15.1533408Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:15.1533600Z ##[endgroup]
2025-10-10T00:35:15.1600199Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T00:35:15.1600548Z # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T00:35:15.1600798Z # shellcheck disable=SC2046
2025-10-10T00:35:15.1601012Z docker stop $(docker ps -q) || true
2025-10-10T00:35:15.1601229Z # Prune all of the docker images
2025-10-10T00:35:15.1601443Z docker system prune -af
2025-10-10T00:35:15.1605733Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:35:15.1605968Z env:
2025-10-10T00:35:15.1606121Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:15.1606295Z ##[endgroup]
2025-10-10T00:35:15.2009914Z "docker stop" requires at least 1 argument.
2025-10-10T00:35:15.2010322Z See 'docker stop --help'.
2025-10-10T00:35:15.2010490Z 
2025-10-10T00:35:15.2010676Z Usage:  docker stop [OPTIONS] CONTAINER [CONTAINER...]
2025-10-10T00:35:15.2010852Z 
2025-10-10T00:35:15.2011161Z Stop one or more running containers
2025-10-10T00:35:15.2202578Z Total reclaimed space: 0B
2025-10-10T00:35:15.2342977Z ##[group]Run pytorch/test-infra/.github/actions/calculate-docker-image@main
2025-10-10T00:35:15.2343267Z with:
2025-10-10T00:35:15.2343768Z   docker-image-name: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:15.2344316Z   use-custom-docker-registry: true
2025-10-10T00:35:15.2344531Z   docker-build-dir: .ci/docker
2025-10-10T00:35:15.2344731Z   docker-build-script: ./build.sh
2025-10-10T00:35:15.2344924Z   working-directory: .
2025-10-10T00:35:15.2345148Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:35:15.2345390Z   force-push: false
2025-10-10T00:35:15.2345547Z env:
2025-10-10T00:35:15.2345693Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:15.2345858Z ##[endgroup]
2025-10-10T00:35:15.2370558Z ##[group]Run set -ex
2025-10-10T00:35:15.2370788Z set -ex
2025-10-10T00:35:15.2370943Z 
2025-10-10T00:35:15.2371230Z # If the docker build directory or the build script doesn't exist, the action will
2025-10-10T00:35:15.2371621Z # gracefully return the docker image name as it is.  Pulling docker image in Linux
2025-10-10T00:35:15.2371954Z # job could then download the pre-built image as usual
2025-10-10T00:35:15.2372357Z if [[ -d "${DOCKER_BUILD_DIR}" ]] && [[ -f "${DOCKER_BUILD_DIR}/${DOCKER_BUILD_SCRIPT}" ]] && [[ "${USE_CUSTOM_DOCKER_REGISTRY}" == "true" ]]; then
2025-10-10T00:35:15.2372733Z   echo "skip=false" >> "${GITHUB_OUTPUT}"
2025-10-10T00:35:15.2372943Z else
2025-10-10T00:35:15.2373124Z   echo "skip=true" >> "${GITHUB_OUTPUT}"
2025-10-10T00:35:15.2373393Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:35:15.2373636Z 
2025-10-10T00:35:15.2373968Z   echo "Not using custom ECR registry.  Either it was not requested or there is no Docker build script in the ${REPO_NAME} repo..."
2025-10-10T00:35:15.2374332Z   exit 0
2025-10-10T00:35:15.2374479Z fi
2025-10-10T00:35:15.2374623Z 
2025-10-10T00:35:15.2374837Z if [[ "${DOCKER_IMAGE_NAME}" == *"${DOCKER_REGISTRY}/${REPO_NAME}"* ]]; then
2025-10-10T00:35:15.2375181Z   # The docker image name already includes the ECR prefix and tag, so we can just
2025-10-10T00:35:15.2375497Z   # use it as it is, but first let's extract the tag
2025-10-10T00:35:15.2375777Z   DOCKER_TAG=$(echo "${DOCKER_IMAGE_NAME}" | awk -F '[:,]' '{print $2}')
2025-10-10T00:35:15.2376083Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:35:15.2376376Z   echo "docker-image=${DOCKER_IMAGE_NAME}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:35:15.2376614Z else
2025-10-10T00:35:15.2376797Z   if [[ "${DOCKER_IMAGE_NAME}" == *:* ]]; then
2025-10-10T00:35:15.2377034Z     CUSTOM_TAG_PREFIX=${DOCKER_IMAGE_NAME#*:}
2025-10-10T00:35:15.2377279Z     DOCKER_IMAGE_NAME=${DOCKER_IMAGE_NAME%%:*}
2025-10-10T00:35:15.2377486Z   fi
2025-10-10T00:35:15.2377763Z   DOCKER_TAG=${CUSTOM_TAG_PREFIX:+${CUSTOM_TAG_PREFIX}-}$(git rev-parse HEAD:"${DOCKER_BUILD_DIR}")
2025-10-10T00:35:15.2378113Z   echo "docker-tag=${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:35:15.2378476Z   echo "docker-image=${DOCKER_REGISTRY}/${REPO_NAME}/${DOCKER_IMAGE_NAME}:${DOCKER_TAG}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:35:15.2378874Z   echo "custom-tag-prefix=${CUSTOM_TAG_PREFIX}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:35:15.2379124Z fi
2025-10-10T00:35:15.2383124Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:35:15.2383358Z env:
2025-10-10T00:35:15.2383516Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:15.2383698Z   REPO_NAME: pytorch
2025-10-10T00:35:15.2384294Z   DOCKER_IMAGE_NAME: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:15.2384900Z   DOCKER_BUILD_DIR: .ci/docker
2025-10-10T00:35:15.2385096Z   DOCKER_BUILD_SCRIPT: ./build.sh
2025-10-10T00:35:15.2385341Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:35:15.2385588Z   USE_CUSTOM_DOCKER_REGISTRY: true
2025-10-10T00:35:15.2385776Z   CUSTOM_TAG_PREFIX: 
2025-10-10T00:35:15.2385945Z ##[endgroup]
2025-10-10T00:35:15.2404623Z + [[ -d .ci/docker ]]
2025-10-10T00:35:15.2404876Z + [[ -f .ci/docker/./build.sh ]]
2025-10-10T00:35:15.2405119Z + [[ true == \t\r\u\e ]]
2025-10-10T00:35:15.2405308Z + echo skip=false
2025-10-10T00:35:15.2406038Z + [[ 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac == *\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* ]]
2025-10-10T00:35:15.2408371Z ++ echo 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:15.2409771Z ++ awk -F '[:,]' '{print $2}'
2025-10-10T00:35:15.2425233Z + DOCKER_TAG=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:15.2425788Z + echo docker-tag=pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:15.2426477Z + echo docker-image=308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:15.2453358Z ##[group]Run set +e
2025-10-10T00:35:15.2453565Z set +e
2025-10-10T00:35:15.2453718Z set -x
2025-10-10T00:35:15.2453862Z 
2025-10-10T00:35:15.2453995Z login() {
2025-10-10T00:35:15.2454293Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-10-10T00:35:15.2454607Z }
2025-10-10T00:35:15.2454743Z 
2025-10-10T00:35:15.2454872Z retry () {
2025-10-10T00:35:15.2455046Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-10-10T00:35:15.2455232Z }
2025-10-10T00:35:15.2455366Z 
2025-10-10T00:35:15.2455503Z retry login "${DOCKER_REGISTRY}"
2025-10-10T00:35:15.2455683Z 
2025-10-10T00:35:15.2455822Z START_TIME=$(date +%s)
2025-10-10T00:35:15.2456004Z # Wait up to 120 minutes
2025-10-10T00:35:15.2456229Z while [[ $(( $(date +%s) - 7200 )) -lt $START_TIME ]]; do
2025-10-10T00:35:15.2456503Z   # Check if image already exists, if it does then skip building it
2025-10-10T00:35:15.2456784Z   if docker manifest inspect "${DOCKER_IMAGE}"; then
2025-10-10T00:35:15.2456992Z     exit 0
2025-10-10T00:35:15.2457139Z   fi
2025-10-10T00:35:15.2457272Z 
2025-10-10T00:35:15.2457499Z   # NB: This flag is used by Docker build workflow to push the image to ECR, so we can
2025-10-10T00:35:15.2457857Z   # use this to differentiate between the Docker build and regular build jobs. For the
2025-10-10T00:35:15.2458211Z   # latter, it will wait for the Docker images to become available before continuing
2025-10-10T00:35:15.2458504Z   if [ "${DOCKER_PUSH:-false}" == "true" ]; then
2025-10-10T00:35:15.2458731Z     # It's a Docker build job, let's build the image
2025-10-10T00:35:15.2458930Z     break
2025-10-10T00:35:15.2459066Z   else
2025-10-10T00:35:15.2459268Z     # It's a regular build job, wait for the image to become available
2025-10-10T00:35:15.2459497Z     sleep 300
2025-10-10T00:35:15.2459652Z   fi
2025-10-10T00:35:15.2459791Z done
2025-10-10T00:35:15.2459928Z 
2025-10-10T00:35:15.2460212Z # NB: This part requires a full checkout. Otherwise, the merge base will
2025-10-10T00:35:15.2460613Z # be empty.  The default action would be to continue rebuild the image
2025-10-10T00:35:15.2460925Z if [[ "$BASE_REVISION" = "$(git rev-parse HEAD)" ]]; then
2025-10-10T00:35:15.2461199Z   # if we're on the base branch then use the parent commit
2025-10-10T00:35:15.2461444Z   MERGE_BASE=$(git rev-parse HEAD~)
2025-10-10T00:35:15.2461629Z else
2025-10-10T00:35:15.2461838Z   # otherwise we're on a PR, so use the most recent base commit
2025-10-10T00:35:15.2462121Z   MERGE_BASE=$(git merge-base HEAD "$BASE_REVISION")
2025-10-10T00:35:15.2462336Z fi
2025-10-10T00:35:15.2462469Z 
2025-10-10T00:35:15.2462625Z if [[ -z "${MERGE_BASE}" ]]; then
2025-10-10T00:35:15.2462848Z   echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-10-10T00:35:15.2463051Z 
2025-10-10T00:35:15.2463325Z   echo "Finding merge base only works with full checkout, please set fetch-depth to 0, continuing ..."
2025-10-10T00:35:15.2463635Z   exit 0
2025-10-10T00:35:15.2463784Z fi
2025-10-10T00:35:15.2463923Z 
2025-10-10T00:35:15.2464114Z if ! git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}"; then
2025-10-10T00:35:15.2464495Z   echo "Directory '${DOCKER_BUILD_DIR}' not found in commit $MERGE_BASE, you should rebase onto a more recent commit"
2025-10-10T00:35:15.2464824Z   exit 1
2025-10-10T00:35:15.2464965Z fi
2025-10-10T00:35:15.2465099Z 
2025-10-10T00:35:15.2465314Z PREVIOUS_DOCKER_TAG=$(git rev-parse "${MERGE_BASE}:${DOCKER_BUILD_DIR}")
2025-10-10T00:35:15.2465690Z # If no image exists but the hash is the same as the previous hash then we should error out here
2025-10-10T00:35:15.2466023Z if [[ "${PREVIOUS_DOCKER_TAG}" == "${DOCKER_TAG}" ]]; then
2025-10-10T00:35:15.2466405Z   echo "WARNING: Something has gone wrong and the previous image isn't available for the merge-base of your branch"
2025-10-10T00:35:15.2466817Z   echo "         Will re-build docker image to store in local cache, TTS may be longer"
2025-10-10T00:35:15.2467064Z fi
2025-10-10T00:35:15.2467198Z 
2025-10-10T00:35:15.2467365Z echo "rebuild=true" >> "${GITHUB_OUTPUT}"
2025-10-10T00:35:15.2471061Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:35:15.2471287Z env:
2025-10-10T00:35:15.2471429Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:15.2471608Z   DOCKER_BUILD_DIR: .ci/docker
2025-10-10T00:35:15.2471827Z   BASE_REVISION: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:35:15.2472370Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:15.2473036Z   DOCKER_TAG: pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:15.2473463Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:35:15.2473698Z   DOCKER_PUSH: 
2025-10-10T00:35:15.2473849Z ##[endgroup]
2025-10-10T00:35:15.2491480Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:35:15.2491748Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:35:15.2493841Z + aws ecr get-login-password --region us-east-1
2025-10-10T00:35:15.2494601Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:35:15.6231204Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:35:15.6231577Z Configure a credential helper to remove this warning. See
2025-10-10T00:35:15.6231919Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:35:15.6232136Z 
2025-10-10T00:35:15.6233193Z Login Succeeded
2025-10-10T00:35:15.6245037Z ++ date +%s
2025-10-10T00:35:15.6251719Z + START_TIME=1760056515
2025-10-10T00:35:15.6255206Z ++ date +%s
2025-10-10T00:35:15.6262026Z + [[ 1760049315 -lt 1760056515 ]]
2025-10-10T00:35:15.6262619Z + docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:15.8579590Z {
2025-10-10T00:35:15.8579902Z 	"schemaVersion": 2,
2025-10-10T00:35:15.8580244Z 	"mediaType": "application/vnd.docker.distribution.manifest.v2+json",
2025-10-10T00:35:15.8580550Z 	"config": {
2025-10-10T00:35:15.8580836Z 		"mediaType": "application/vnd.docker.container.image.v1+json",
2025-10-10T00:35:15.8581093Z 		"size": 30298,
2025-10-10T00:35:15.8581380Z 		"digest": "sha256:be8feb4482de208ab33ff6be61032fcdbeafec87bebc633426f293b292801f69"
2025-10-10T00:35:15.8581670Z 	},
2025-10-10T00:35:15.8581799Z 	"layers": [
2025-10-10T00:35:15.8581942Z 		{
2025-10-10T00:35:15.8582160Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:35:15.8582962Z 		},
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2025-10-10T00:35:15.8583300Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:35:15.8584076Z 		},
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2025-10-10T00:35:15.8585194Z 		},
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2025-10-10T00:35:15.8585545Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:35:15.8586340Z 		},
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2025-10-10T00:35:15.8586667Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:35:15.8587449Z 		},
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2025-10-10T00:35:15.8587771Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:35:15.8588535Z 		},
2025-10-10T00:35:15.8588661Z 		{
2025-10-10T00:35:15.8588856Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:35:15.8589658Z 		},
2025-10-10T00:35:15.8589856Z 		{
2025-10-10T00:35:15.8590116Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:35:15.8590464Z 			"size": 483,
2025-10-10T00:35:15.8590734Z 			"digest": "sha256:130af8bfbe27c7f09b41f241968e2df384861e6af82e8ff4a0a7acf82652b7ea"
2025-10-10T00:35:15.8591021Z 		},
2025-10-10T00:35:15.8591145Z 		{
2025-10-10T00:35:15.8591352Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:35:15.8591605Z 			"size": 110343733,
2025-10-10T00:35:15.8591873Z 			"digest": "sha256:193b2b1a9925e076c5c5a070b1a2a5656f771dbbe6fe54e24858e214c999ec31"
2025-10-10T00:35:15.8592152Z 		},
2025-10-10T00:35:15.8592273Z 		{
2025-10-10T00:35:15.8592481Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:35:15.8592732Z 			"size": 5033,
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2025-10-10T00:35:15.8593471Z 		},
2025-10-10T00:35:15.8593675Z 		{
2025-10-10T00:35:15.8593942Z + exit 0
2025-10-10T00:35:15.8594162Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:35:15.8594406Z 			"size": 1709,
2025-10-10T00:35:15.8594667Z 			"digest": "sha256:fb4547453b1c476b51e9d234ffb01bbafea460abcd5ec7e3d6f547339285312d"
2025-10-10T00:35:15.8594952Z 		},
2025-10-10T00:35:15.8595082Z 		{
2025-10-10T00:35:15.8595280Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:35:15.8595527Z 			"size": 724,
2025-10-10T00:35:15.8595784Z 			"digest": "sha256:5309e360108e00b09730355a8aa7fed622a6f8bca2b76d0ff01498a5a6fabab6"
2025-10-10T00:35:15.8596067Z 		},
2025-10-10T00:35:15.8596188Z 		{
2025-10-10T00:35:15.8596390Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:35:15.8596639Z 			"size": 542,
2025-10-10T00:35:15.8596905Z 			"digest": "sha256:9be330fbd7beead7b21b290a066dac5164e7d36ad14130818f41b5eba2a188b6"
2025-10-10T00:35:15.8597186Z 		},
2025-10-10T00:35:15.8597319Z 		{
2025-10-10T00:35:15.8597528Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:35:15.8598468Z 		},
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2025-10-10T00:35:15.8598812Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:35:15.8599610Z 		},
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2025-10-10T00:35:15.8599942Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:35:15.8600728Z 		},
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2025-10-10T00:35:15.8601842Z 		},
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2025-10-10T00:35:15.8602949Z 		},
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2025-10-10T00:35:15.8605149Z 		},
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2025-10-10T00:35:15.8606224Z 		},
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2025-10-10T00:35:15.8608536Z 		},
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2025-10-10T00:35:15.8609627Z 		},
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2025-10-10T00:35:15.8610718Z 		},
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2025-10-10T00:35:15.8611049Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
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2025-10-10T00:35:15.8611824Z 		},
2025-10-10T00:35:15.8611953Z 		{
2025-10-10T00:35:15.8612154Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:35:15.8612388Z 			"size": 104,
2025-10-10T00:35:15.8612638Z 			"digest": "sha256:66f9a01572e213b55fcf8dfee3a1053033513464bcbcc99bdf04e1937480e85a"
2025-10-10T00:35:15.8612909Z 		},
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2025-10-10T00:35:15.8663497Z 		{
2025-10-10T00:35:15.8663705Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:35:15.8663940Z 			"size": 304,
2025-10-10T00:35:15.8664205Z 			"digest": "sha256:ee028affbc09ac8ee9cc437c341bb81c09df9e6bfd1bdd5da87809d24ebf3d05"
2025-10-10T00:35:15.8664484Z 		},
2025-10-10T00:35:15.8664613Z 		{
2025-10-10T00:35:15.8664806Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:35:15.8665085Z 			"size": 32,
2025-10-10T00:35:15.8665384Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-10-10T00:35:15.8665663Z 		},
2025-10-10T00:35:15.8665780Z 		{
2025-10-10T00:35:15.8665981Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:35:15.8666221Z 			"size": 108,
2025-10-10T00:35:15.8666474Z 			"digest": "sha256:f090f773ba0e46e96a12583445cf1f6741e20aea9362c49517163d0f0bfc0fc1"
2025-10-10T00:35:15.8666735Z 		},
2025-10-10T00:35:15.8666860Z 		{
2025-10-10T00:35:15.8667062Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:35:15.8667313Z 			"size": 54145665,
2025-10-10T00:35:15.8667561Z 			"digest": "sha256:56f1f8e7f2476d5d6777b43002615dd64f62ba9a6a82678195124a491048faa0"
2025-10-10T00:35:15.8667833Z 		},
2025-10-10T00:35:15.8667962Z 		{
2025-10-10T00:35:15.8668162Z 			"mediaType": "application/vnd.docker.image.rootfs.diff.tar.gzip",
2025-10-10T00:35:15.8668400Z 			"size": 32,
2025-10-10T00:35:15.8668651Z 			"digest": "sha256:4f4fb700ef54461cfa02571ae0db9a0dc1e0cdb5577484a6d75e68dc38e8acc1"
2025-10-10T00:35:15.8668925Z 		}
2025-10-10T00:35:15.8669054Z 	]
2025-10-10T00:35:15.8669175Z }
2025-10-10T00:35:15.8697184Z ##[group]Run set -eux
2025-10-10T00:35:15.8697387Z set -eux
2025-10-10T00:35:15.8697645Z # It's ok if this steps fails, it would then be an anonymous user like what we used to have
2025-10-10T00:35:15.8698374Z 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
2025-10-10T00:35:15.8703233Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:35:15.8703474Z env:
2025-10-10T00:35:15.8703627Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:15.8703810Z ##[endgroup]
2025-10-10T00:35:15.8723632Z + aws secretsmanager get-secret-value --secret-id docker_hub_readonly_token
2025-10-10T00:35:15.8723978Z + jq --raw-output .SecretString
2025-10-10T00:35:15.8724506Z + jq -r .docker_hub_readonly_token
2025-10-10T00:35:15.8727993Z + docker login --username pytorchbot --password-stdin
2025-10-10T00:35:16.2869204Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:35:16.2869718Z Configure a credential helper to remove this warning. See
2025-10-10T00:35:16.2869975Z Login Succeeded
2025-10-10T00:35:16.2870282Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:35:16.2870511Z 
2025-10-10T00:35:16.2937460Z ##[group]Run tag=${ECR_DOCKER_IMAGE##*:}
2025-10-10T00:35:16.2937711Z tag=${ECR_DOCKER_IMAGE##*:}
2025-10-10T00:35:16.2937958Z echo "docker pull ghcr.io/pytorch/ci-image:${tag/:/-}"
2025-10-10T00:35:16.2942025Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:35:16.2942268Z env:
2025-10-10T00:35:16.2942423Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:16.2942959Z   ECR_DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:16.2943462Z ##[endgroup]
2025-10-10T00:35:16.2963011Z docker pull ghcr.io/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:16.3001720Z ##[group]Run pytorch/test-infra/.github/actions/pull-docker-image@main
2025-10-10T00:35:16.3001986Z with:
2025-10-10T00:35:16.3002464Z   docker-image: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:16.3003018Z   docker-registry: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:35:16.3003254Z env:
2025-10-10T00:35:16.3003404Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:16.3003576Z ##[endgroup]
2025-10-10T00:35:16.3022427Z ##[group]Run set -x
2025-10-10T00:35:16.3022688Z set -x
2025-10-10T00:35:16.3022845Z set +e
2025-10-10T00:35:16.3022993Z 
2025-10-10T00:35:16.3023135Z login() {
2025-10-10T00:35:16.3023413Z   aws ecr get-login-password --region us-east-1 | docker login -u AWS --password-stdin "$1"
2025-10-10T00:35:16.3023708Z }
2025-10-10T00:35:16.3023846Z 
2025-10-10T00:35:16.3024019Z retry () {
2025-10-10T00:35:16.3024197Z   $*  || (sleep 1 && $*) || (sleep 2 && $*)
2025-10-10T00:35:16.3024391Z }
2025-10-10T00:35:16.3024530Z 
2025-10-10T00:35:16.3024673Z retry login "${DOCKER_REGISTRY}"
2025-10-10T00:35:16.3024861Z 
2025-10-10T00:35:16.3025141Z IMAGE_SIZE=$(docker manifest inspect "${DOCKER_IMAGE}" | jq '[.layers[].size, .config.size] | add / 1024 / 1024')
2025-10-10T00:35:16.3025506Z echo "Compressed size of image in MB: ${IMAGE_SIZE}"
2025-10-10T00:35:16.3025721Z 
2025-10-10T00:35:16.3025853Z set -e
2025-10-10T00:35:16.3026066Z # ignore output since only exit code is used for conditional
2025-10-10T00:35:16.3026350Z # only pull docker image if it's not available locally
2025-10-10T00:35:16.3026657Z if ! docker inspect --type=image "${DOCKER_IMAGE}" >/dev/null 2>/dev/null; then
2025-10-10T00:35:16.3026940Z   retry docker pull "${DOCKER_IMAGE}"
2025-10-10T00:35:16.3027132Z fi
2025-10-10T00:35:16.3030943Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:35:16.3031170Z env:
2025-10-10T00:35:16.3031316Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:35:16.3031817Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:16.3032371Z   DOCKER_REGISTRY: 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:35:16.3032608Z ##[endgroup]
2025-10-10T00:35:16.3049305Z + set +e
2025-10-10T00:35:16.3049874Z + retry login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:35:16.3050239Z + login 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:35:16.3052128Z + aws ecr get-login-password --region us-east-1
2025-10-10T00:35:16.3054187Z + docker login -u AWS --password-stdin 308535385114.dkr.ecr.us-east-1.amazonaws.com
2025-10-10T00:35:16.6653892Z WARNING! Your password will be stored unencrypted in /home/ec2-user/.docker/config.json.
2025-10-10T00:35:16.6654279Z Configure a credential helper to remove this warning. See
2025-10-10T00:35:16.6654623Z https://docs.docker.com/engine/reference/commandline/login/#credentials-store
2025-10-10T00:35:16.6654855Z 
2025-10-10T00:35:16.6654996Z Login Succeeded
2025-10-10T00:35:16.6669310Z ++ docker manifest inspect 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:16.6669906Z ++ jq '[.layers[].size, .config.size] | add / 1024 / 1024'
2025-10-10T00:35:16.8933746Z Compressed size of image in MB: 28760.563641548157
2025-10-10T00:35:16.8934014Z + IMAGE_SIZE=28760.563641548157
2025-10-10T00:35:16.8934255Z + echo 'Compressed size of image in MB: 28760.563641548157'
2025-10-10T00:35:16.8934495Z + set -e
2025-10-10T00:35:16.8935243Z + docker inspect --type=image 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:16.9031078Z + retry docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:16.9031934Z + docker pull 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:35:17.1516151Z pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac: Pulling from pytorch/ci-image
2025-10-10T00:35:17.1516969Z 828c1365039a: Pulling fs layer
2025-10-10T00:35:17.1517174Z d48484dff770: Pulling fs layer
2025-10-10T00:35:17.1517383Z 63f2ff1b73ca: Pulling fs layer
2025-10-10T00:35:17.1517554Z 4a952c1cd3dd: Pulling fs layer
2025-10-10T00:35:17.1517734Z cf3649f6486a: Pulling fs layer
2025-10-10T00:35:17.1517917Z 7a4d1eb936e8: Pulling fs layer
2025-10-10T00:35:17.1518099Z fec720215749: Pulling fs layer
2025-10-10T00:35:17.1518268Z 130af8bfbe27: Pulling fs layer
2025-10-10T00:35:17.1518439Z 193b2b1a9925: Pulling fs layer
2025-10-10T00:35:17.1518604Z 38d02879e15d: Pulling fs layer
2025-10-10T00:35:17.1518780Z fb4547453b1c: Pulling fs layer
2025-10-10T00:35:17.1518947Z 5309e360108e: Pulling fs layer
2025-10-10T00:35:17.1519126Z 9be330fbd7be: Pulling fs layer
2025-10-10T00:35:17.1519300Z 2cf6366f7d11: Pulling fs layer
2025-10-10T00:35:17.1519477Z 4f4fb700ef54: Pulling fs layer
2025-10-10T00:35:17.1519645Z 56c4f51a0131: Pulling fs layer
2025-10-10T00:35:17.1519828Z f7b7f9614412: Pulling fs layer
2025-10-10T00:35:17.1520000Z 4a952c1cd3dd: Waiting
2025-10-10T00:35:17.1520169Z 70aeb425e04c: Pulling fs layer
2025-10-10T00:35:17.1520338Z 97346936eb30: Pulling fs layer
2025-10-10T00:35:17.1520513Z 9e5860b535d4: Pulling fs layer
2025-10-10T00:35:17.1520685Z 0ba1a45e1205: Pulling fs layer
2025-10-10T00:35:17.1520862Z 3b7d78f74bbe: Pulling fs layer
2025-10-10T00:35:17.1521038Z 6beb9b78ab6e: Pulling fs layer
2025-10-10T00:35:17.1521218Z 25a0a5e5e819: Pulling fs layer
2025-10-10T00:35:17.1521395Z 5227fe91454b: Pulling fs layer
2025-10-10T00:35:17.1521572Z 66f9a01572e2: Pulling fs layer
2025-10-10T00:35:17.1521740Z c252c4979145: Pulling fs layer
2025-10-10T00:35:17.1521919Z f9c84d68915b: Pulling fs layer
2025-10-10T00:35:17.1522092Z a086fb2969ce: Pulling fs layer
2025-10-10T00:35:17.1522264Z cf3649f6486a: Waiting
2025-10-10T00:35:17.1522421Z a6c00b8f11a4: Pulling fs layer
2025-10-10T00:35:17.1522600Z fc80c2144458: Pulling fs layer
2025-10-10T00:35:17.1522774Z 3894d677ce34: Pulling fs layer
2025-10-10T00:35:17.1522995Z 7a4d1eb936e8: Waiting
2025-10-10T00:35:17.1523155Z fec720215749: Waiting
2025-10-10T00:35:17.1523308Z be6227b9675e: Pulling fs layer
2025-10-10T00:35:17.1523477Z 130af8bfbe27: Waiting
2025-10-10T00:35:17.1523636Z c5731ed75d33: Pulling fs layer
2025-10-10T00:35:17.1523812Z e3d52ff40b4c: Pulling fs layer
2025-10-10T00:35:17.1523974Z 193b2b1a9925: Waiting
2025-10-10T00:35:17.1524132Z 3b7d78f74bbe: Waiting
2025-10-10T00:35:17.1524288Z 0ba1a45e1205: Waiting
2025-10-10T00:35:17.1524444Z 38d02879e15d: Waiting
2025-10-10T00:35:17.1524588Z 25a0a5e5e819: Waiting
2025-10-10T00:35:17.1524746Z fb4547453b1c: Waiting
2025-10-10T00:35:17.1524904Z 86ca23246f24: Pulling fs layer
2025-10-10T00:35:17.1525070Z 66f9a01572e2: Waiting
2025-10-10T00:35:17.1525214Z 5227fe91454b: Waiting
2025-10-10T00:35:17.1525367Z 6beb9b78ab6e: Waiting
2025-10-10T00:35:17.1525529Z 40e2321b482a: Pulling fs layer
2025-10-10T00:35:17.1525705Z b25589a402ef: Pulling fs layer
2025-10-10T00:35:17.1525869Z 9be330fbd7be: Waiting
2025-10-10T00:35:17.1526026Z 5309e360108e: Waiting
2025-10-10T00:35:17.1526182Z 3be3b4544852: Pulling fs layer
2025-10-10T00:35:17.1526363Z ca8d18c1fad6: Pulling fs layer
2025-10-10T00:35:17.1526530Z 2cf6366f7d11: Waiting
2025-10-10T00:35:17.1526687Z f7b7f9614412: Waiting
2025-10-10T00:35:17.1526850Z ad03627b7e8e: Pulling fs layer
2025-10-10T00:35:17.1527023Z 70aeb425e04c: Waiting
2025-10-10T00:35:17.1527274Z c252c4979145: Waiting
2025-10-10T00:35:17.1527438Z f9c84d68915b: Waiting
2025-10-10T00:35:17.1527598Z 4f4fb700ef54: Waiting
2025-10-10T00:35:17.1527759Z b7b658babd8c: Pulling fs layer
2025-10-10T00:35:17.1527938Z 97346936eb30: Waiting
2025-10-10T00:35:17.1528108Z 784eefe614e4: Pulling fs layer
2025-10-10T00:35:17.1528286Z a086fb2969ce: Waiting
2025-10-10T00:35:17.1528447Z 9084ec9ef863: Pulling fs layer
2025-10-10T00:35:17.1528621Z a6c00b8f11a4: Waiting
2025-10-10T00:35:17.1528781Z 9e5860b535d4: Waiting
2025-10-10T00:35:17.1528938Z c5731ed75d33: Waiting
2025-10-10T00:35:17.1529086Z 86ca23246f24: Waiting
2025-10-10T00:35:17.1529288Z 56c4f51a0131: Waiting
2025-10-10T00:35:17.1529446Z e3d52ff40b4c: Waiting
2025-10-10T00:35:17.1529616Z 0a890a7dda70: Pulling fs layer
2025-10-10T00:35:17.1529782Z 40e2321b482a: Waiting
2025-10-10T00:35:17.1529941Z ad03627b7e8e: Waiting
2025-10-10T00:35:17.1530093Z b25589a402ef: Waiting
2025-10-10T00:35:17.1530248Z 3be3b4544852: Waiting
2025-10-10T00:35:17.1530395Z fc80c2144458: Waiting
2025-10-10T00:35:17.1530551Z b7b658babd8c: Waiting
2025-10-10T00:35:17.1530714Z 5907e244ca85: Pulling fs layer
2025-10-10T00:35:17.1530894Z 7d9cc7db846b: Pulling fs layer
2025-10-10T00:35:17.1531061Z 784eefe614e4: Waiting
2025-10-10T00:35:17.1531218Z ca8d18c1fad6: Waiting
2025-10-10T00:35:17.1531374Z 9084ec9ef863: Waiting
2025-10-10T00:35:17.1531536Z c6f4775b7985: Pulling fs layer
2025-10-10T00:35:17.1531701Z 0a890a7dda70: Waiting
2025-10-10T00:35:17.1531855Z 3894d677ce34: Waiting
2025-10-10T00:35:17.1532017Z ed36b9de7242: Pulling fs layer
2025-10-10T00:35:17.1532198Z cfc72d1580d6: Pulling fs layer
2025-10-10T00:35:17.1532366Z 5907e244ca85: Waiting
2025-10-10T00:35:17.1532519Z be6227b9675e: Waiting
2025-10-10T00:35:17.1532681Z 7d9cc7db846b: Waiting
2025-10-10T00:35:17.1532837Z c6f4775b7985: Waiting
2025-10-10T00:35:17.1532991Z 140888b3776d: Pulling fs layer
2025-10-10T00:35:17.1533170Z 43ee72be7eaa: Pulling fs layer
2025-10-10T00:35:17.1533353Z 4b724c5636ce: Pulling fs layer
2025-10-10T00:35:17.1533525Z ed36b9de7242: Waiting
2025-10-10T00:35:17.1533673Z cfc72d1580d6: Waiting
2025-10-10T00:35:17.1533828Z 140888b3776d: Waiting
2025-10-10T00:35:17.1533992Z 47122b9b853f: Pulling fs layer
2025-10-10T00:35:17.1534157Z 43ee72be7eaa: Waiting
2025-10-10T00:35:17.1534345Z 501ccd6f6912: Pulling fs layer
2025-10-10T00:35:17.1534521Z 7c29f290a530: Pulling fs layer
2025-10-10T00:35:17.1534697Z 4b724c5636ce: Waiting
2025-10-10T00:35:17.1534854Z 501ccd6f6912: Waiting
2025-10-10T00:35:17.1535014Z 6f129b7d3f62: Pulling fs layer
2025-10-10T00:35:17.1535179Z 7c29f290a530: Waiting
2025-10-10T00:35:17.1535337Z 47122b9b853f: Waiting
2025-10-10T00:35:17.1535505Z f4f4042795ea: Pulling fs layer
2025-10-10T00:35:17.1535679Z a3c70cd222f0: Pulling fs layer
2025-10-10T00:35:17.1535860Z 0d733ca581b2: Pulling fs layer
2025-10-10T00:35:17.1536042Z 23e94f3ab9a7: Pulling fs layer
2025-10-10T00:35:17.1536225Z ee028affbc09: Pulling fs layer
2025-10-10T00:35:17.1536401Z f090f773ba0e: Pulling fs layer
2025-10-10T00:35:17.1536583Z 56f1f8e7f247: Pulling fs layer
2025-10-10T00:35:17.1536758Z 56f1f8e7f247: Waiting
2025-10-10T00:35:17.1536916Z 6f129b7d3f62: Waiting
2025-10-10T00:35:17.1537068Z ee028affbc09: Waiting
2025-10-10T00:35:17.1537230Z f090f773ba0e: Waiting
2025-10-10T00:35:17.1537386Z a3c70cd222f0: Waiting
2025-10-10T00:35:17.1537540Z 0d733ca581b2: Waiting
2025-10-10T00:35:17.1537686Z f4f4042795ea: Waiting
2025-10-10T00:35:17.1537840Z 23e94f3ab9a7: Waiting
2025-10-10T00:35:17.2028146Z d48484dff770: Download complete
2025-10-10T00:35:17.2914281Z 4a952c1cd3dd: Verifying Checksum
2025-10-10T00:35:17.2914524Z 4a952c1cd3dd: Download complete
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2025-10-10T00:42:07.0620870Z Digest: sha256:2e6e7297c9105722429dc16c6731f2c79bd9d6b81eb7a39feebebd90cfe1676f
2025-10-10T00:42:07.0864608Z Status: Downloaded newer image for 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:42:07.1009314Z 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:42:07.1051932Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:42:07.1052509Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-10-10T00:42:07.1060750Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:42:07.1060994Z env:
2025-10-10T00:42:07.1061156Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:07.1061349Z ##[endgroup]
2025-10-10T00:42:07.1130497Z Prepare all required actions
2025-10-10T00:42:07.1213075Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-10-10T00:42:07.1213304Z with:
2025-10-10T00:42:07.1213808Z   github-token: ***
2025-10-10T00:42:07.1213959Z env:
2025-10-10T00:42:07.1214109Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:07.1214289Z ##[endgroup]
2025-10-10T00:42:07.1321169Z ##[group]Run set -eux
2025-10-10T00:42:07.1321342Z set -eux
2025-10-10T00:42:07.1321612Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-10-10T00:42:07.1325739Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:42:07.1325968Z env:
2025-10-10T00:42:07.1326117Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:07.1326418Z   GITHUB_TOKEN: ***
2025-10-10T00:42:07.1326579Z ##[endgroup]
2025-10-10T00:42:07.1343684Z + python3 .github/scripts/get_workflow_job_id.py 18392306145 i-0f16135f606f191c1
2025-10-10T00:42:07.8505407Z Setting output job-id=52406535456
2025-10-10T00:42:07.8505888Z Setting output job-name=inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:42:07.8585524Z ##[group]Run python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-10-10T00:42:07.8585962Z python3 -m pip install psutil==5.9.8 dataclasses_json==0.6.7 nvidia-ml-py==11.525.84
2025-10-10T00:42:07.8586512Z python3 -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-10-10T00:42:07.8587019Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:42:07.8591175Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:42:07.8591405Z env:
2025-10-10T00:42:07.8591555Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:07.8591727Z   JOB_ID: 52406535456
2025-10-10T00:42:07.8592027Z   JOB_NAME: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:42:07.8592354Z   WORKFLOW_NAME: inductor
2025-10-10T00:42:07.8592531Z   WORKFLOW_RUN_ID: 18392306145
2025-10-10T00:42:07.8592736Z   MONITOR_LOG_INTERVAL: 5
2025-10-10T00:42:07.8592911Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-10-10T00:42:07.8593095Z ##[endgroup]
2025-10-10T00:42:08.3368170Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T00:42:08.6652872Z Collecting psutil==5.9.8
2025-10-10T00:42:08.6780747Z   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)
2025-10-10T00:42:08.7499227Z Collecting dataclasses_json==0.6.7
2025-10-10T00:42:08.7528500Z   Downloading dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-10-10T00:42:08.8157020Z Collecting nvidia-ml-py==11.525.84
2025-10-10T00:42:08.8189395Z   Downloading nvidia_ml_py-11.525.84-py3-none-any.whl (34 kB)
2025-10-10T00:42:08.9855564Z Collecting typing-inspect<1,>=0.4.0
2025-10-10T00:42:08.9879698Z   Downloading typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-10-10T00:42:09.1803121Z Collecting marshmallow<4.0.0,>=3.18.0
2025-10-10T00:42:09.1826590Z   Downloading marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-10-10T00:42:09.3563143Z Collecting packaging>=17.0
2025-10-10T00:42:09.3589548Z   Downloading packaging-25.0-py3-none-any.whl (66 kB)
2025-10-10T00:42:09.5005583Z Collecting typing-extensions>=3.7.4
2025-10-10T00:42:09.5045408Z   Downloading typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-10-10T00:42:09.6489377Z Collecting mypy-extensions>=0.3.0
2025-10-10T00:42:09.6577112Z   Downloading mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-10-10T00:42:09.9461629Z Installing collected packages: typing-extensions, packaging, mypy-extensions, typing-inspect, marshmallow, psutil, nvidia-ml-py, dataclasses-json
2025-10-10T00:42:10.4974307Z 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
2025-10-10T00:42:10.7411609Z Prepare all required actions
2025-10-10T00:42:10.7411884Z Getting action download info
2025-10-10T00:42:10.9215538Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-10-10T00:42:11.3221895Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-10-10T00:42:11.6584672Z ##[group]Run ./.github/actions/download-build-artifacts
2025-10-10T00:42:11.6584933Z with:
2025-10-10T00:42:11.6585107Z   name: linux-jammy-py3.10-gcc11-build
2025-10-10T00:42:11.6585308Z   s3-bucket: gha-artifacts
2025-10-10T00:42:11.6585482Z env:
2025-10-10T00:42:11.6585625Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:11.6585791Z ##[endgroup]
2025-10-10T00:42:11.6709640Z ##[group]Run seemethere/download-artifact-s3@v4
2025-10-10T00:42:11.6709855Z with:
2025-10-10T00:42:11.6710054Z   name: linux-jammy-py3.10-gcc11-build
2025-10-10T00:42:11.6710259Z   s3-bucket: gha-artifacts
2025-10-10T00:42:11.6710628Z   region: us-east-1
2025-10-10T00:42:11.6710814Z env:
2025-10-10T00:42:11.6711002Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:11.6711251Z ##[endgroup]
2025-10-10T00:42:12.2198226Z (node:57896) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-10-10T00:42:12.2198517Z 
2025-10-10T00:42:12.2198649Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-10-10T00:42:12.2198988Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-10-10T00:42:12.2199344Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-10-10T00:42:13.0588405Z Found 1 objects with prefix pytorch/pytorch/18392306145/linux-jammy-py3.10-gcc11-build/
2025-10-10T00:42:13.0588859Z Starting download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-10-10T00:42:20.0128306Z Finished download (1/1): /home/ec2-user/actions-runner/_work/pytorch/pytorch/artifacts.zip
2025-10-10T00:42:20.0131725Z Artifact download has finished successfully
2025-10-10T00:42:20.0327556Z ##[group]Run unzip -o artifacts.zip
2025-10-10T00:42:20.0327788Z unzip -o artifacts.zip
2025-10-10T00:42:20.0332221Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:42:20.0332455Z env:
2025-10-10T00:42:20.0332602Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:20.0332772Z ##[endgroup]
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2025-10-10T00:42:26.4322839Z    creating: .additional_ci_files/
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2025-10-10T00:42:26.4633548Z ##[group]Run rm artifacts.zip
2025-10-10T00:42:26.4633765Z rm artifacts.zip
2025-10-10T00:42:26.4637975Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:42:26.4638203Z env:
2025-10-10T00:42:26.4638355Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:26.4638523Z ##[endgroup]
2025-10-10T00:42:26.5119675Z ##[group]Run df -H
2025-10-10T00:42:26.5119846Z df -H
2025-10-10T00:42:26.5123512Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:42:26.5123737Z env:
2025-10-10T00:42:26.5123887Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:26.5124061Z ##[endgroup]
2025-10-10T00:42:26.5154897Z Filesystem        Size  Used Avail Use% Mounted on
2025-10-10T00:42:26.5155201Z devtmpfs          4.2M     0  4.2M   0% /dev
2025-10-10T00:42:26.5155425Z tmpfs             102G     0  102G   0% /dev/shm
2025-10-10T00:42:26.5155655Z tmpfs              41G   11M   41G   1% /run
2025-10-10T00:42:26.5155907Z /dev/nvme0n1p1    215G   73G  143G  34% /
2025-10-10T00:42:26.5156188Z tmpfs             102G   13k  102G   1% /tmp
2025-10-10T00:42:26.5156531Z /dev/nvme0n1p128   11M  1.4M  9.2M  13% /boot/efi
2025-10-10T00:42:26.5177906Z Prepare all required actions
2025-10-10T00:42:26.5178566Z Getting action download info
2025-10-10T00:42:26.6705517Z ##[group]Run ./.github/actions/download-td-artifacts
2025-10-10T00:42:26.6705750Z with:
2025-10-10T00:42:26.6705896Z env:
2025-10-10T00:42:26.6706050Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:26.6706234Z ##[endgroup]
2025-10-10T00:42:26.7396925Z ##[group]Run seemethere/download-artifact-s3@v4
2025-10-10T00:42:26.7397145Z with:
2025-10-10T00:42:26.7397283Z   name: td_results
2025-10-10T00:42:26.7397445Z   s3-bucket: gha-artifacts
2025-10-10T00:42:26.7397620Z   region: us-east-1
2025-10-10T00:42:26.7397770Z env:
2025-10-10T00:42:26.7397905Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:26.7398069Z ##[endgroup]
2025-10-10T00:42:27.4194876Z (node:57917) NOTE: We are formalizing our plans to enter AWS SDK for JavaScript (v2) into maintenance mode in 2023.
2025-10-10T00:42:27.4195177Z 
2025-10-10T00:42:27.4195374Z Please migrate your code to use AWS SDK for JavaScript (v3).
2025-10-10T00:42:27.4195709Z For more information, check the migration guide at https://a.co/7PzMCcy
2025-10-10T00:42:27.4196038Z (Use `node --trace-warnings ...` to show where the warning was created)
2025-10-10T00:42:27.4949580Z Found 0 objects with prefix pytorch/pytorch/18392306145/td_results/
2025-10-10T00:42:27.4952201Z Artifact download has finished successfully
2025-10-10T00:42:27.5293641Z ##[group]Run mkdir -p .additional_ci_files
2025-10-10T00:42:27.5293883Z mkdir -p .additional_ci_files
2025-10-10T00:42:27.5294147Z mv td_results.json .additional_ci_files/td_results.json || true
2025-10-10T00:42:27.5298781Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:42:27.5299012Z env:
2025-10-10T00:42:27.5299160Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:27.5299330Z ##[endgroup]
2025-10-10T00:42:27.5339601Z mv: cannot stat 'td_results.json': No such file or directory
2025-10-10T00:42:27.5550414Z ##[group]Run .github/scripts/parse_ref.py
2025-10-10T00:42:27.5550650Z .github/scripts/parse_ref.py
2025-10-10T00:42:27.5554460Z shell: /usr/bin/bash -e {0}
2025-10-10T00:42:27.5554640Z env:
2025-10-10T00:42:27.5554787Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:27.5554952Z ##[endgroup]
2025-10-10T00:42:27.5956921Z Setting output branch=main
2025-10-10T00:42:27.6034455Z Prepare all required actions
2025-10-10T00:42:27.6034733Z Getting action download info
2025-10-10T00:42:27.7420693Z ##[group]Run ./.github/actions/filter-test-configs
2025-10-10T00:42:27.7420914Z with:
2025-10-10T00:42:27.7421216Z   github-token: ***
2025-10-10T00:42:27.7422702Z   test-matrix: {"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-10-10T00:42:27.7424365Z   job-name: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:42:27.7424680Z env:
2025-10-10T00:42:27.7424823Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:27.7424988Z ##[endgroup]
2025-10-10T00:42:27.7533103Z ##[group]Run nick-fields/retry@v3.0.0
2025-10-10T00:42:27.7533303Z with:
2025-10-10T00:42:27.7533437Z   shell: bash
2025-10-10T00:42:27.7533588Z   timeout_minutes: 10
2025-10-10T00:42:27.7533746Z   max_attempts: 5
2025-10-10T00:42:27.7533903Z   retry_wait_seconds: 30
2025-10-10T00:42:27.7534342Z   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

2025-10-10T00:42:27.7534789Z   polling_interval_seconds: 1
2025-10-10T00:42:27.7534988Z   warning_on_retry: true
2025-10-10T00:42:27.7535156Z   continue_on_error: false
2025-10-10T00:42:27.7535323Z env:
2025-10-10T00:42:27.7535458Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:27.7535736Z   GITHUB_TOKEN: ***
2025-10-10T00:42:27.7535889Z ##[endgroup]
2025-10-10T00:42:27.9026984Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-10-10T00:42:28.0624165Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T00:42:28.1488589Z Collecting requests==2.27.1
2025-10-10T00:42:28.1672887Z   Downloading requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-10-10T00:42:28.3530155Z Collecting pyyaml==6.0.2
2025-10-10T00:42:28.3623191Z   Downloading PyYAML-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (737 kB)
2025-10-10T00:42:28.4535225Z Requirement already satisfied: idna<4,>=2.5 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (2.10)
2025-10-10T00:42:28.5441611Z Collecting certifi>=2017.4.17
2025-10-10T00:42:28.5469276Z   Downloading certifi-2025.10.5-py3-none-any.whl (163 kB)
2025-10-10T00:42:28.6152298Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/lib/python3.9/site-packages (from requests==2.27.1) (1.25.10)
2025-10-10T00:42:28.8959133Z Collecting charset-normalizer~=2.0.0
2025-10-10T00:42:28.8985985Z   Downloading charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-10-10T00:42:29.0219435Z Installing collected packages: charset-normalizer, certifi, requests, pyyaml
2025-10-10T00:42:29.5263603Z Successfully installed certifi-2025.10.5 charset-normalizer-2.0.12 pyyaml-6.0.2 requests-2.27.1
2025-10-10T00:42:29.8085785Z Command completed after 1 attempt(s).
2025-10-10T00:42:29.8240363Z ##[group]Run set -x
2025-10-10T00:42:29.8240553Z set -x
2025-10-10T00:42:29.8240705Z 
2025-10-10T00:42:29.8240939Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-10-10T00:42:29.8241226Z # in runner workspace
2025-10-10T00:42:29.8241568Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-10-10T00:42:29.8245958Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:42:29.8246188Z env:
2025-10-10T00:42:29.8246331Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:29.8246504Z ##[endgroup]
2025-10-10T00:42:29.8264837Z + python3 /home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-10-10T00:42:29.8609300Z Setting output branch=main
2025-10-10T00:42:29.8879767Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-10-10T00:42:29.8880027Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-10-10T00:42:29.8880237Z echo "Job name: ${JOB_NAME}"
2025-10-10T00:42:29.8880421Z 
2025-10-10T00:42:29.8880648Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-10-10T00:42:29.8880925Z # in runner workspace
2025-10-10T00:42:29.8881193Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-10-10T00:42:29.8881578Z   --workflow "${GITHUB_WORKFLOW}" \
2025-10-10T00:42:29.8881786Z   --job-name "${JOB_NAME}" \
2025-10-10T00:42:29.8883263Z   --test-matrix "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}" \
2025-10-10T00:42:29.8884764Z   --selected-test-configs "" \
2025-10-10T00:42:29.8884981Z   --pr-number "${PR_NUMBER}" \
2025-10-10T00:42:29.8885172Z   --tag "${TAG}" \
2025-10-10T00:42:29.8885362Z   --event-name "${EVENT_NAME}" \
2025-10-10T00:42:29.8885564Z   --schedule "${SCHEDULE}" \
2025-10-10T00:42:29.8885763Z   --branch "${HEAD_BRANCH}"
2025-10-10T00:42:29.8889774Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:42:29.8889995Z env:
2025-10-10T00:42:29.8890142Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:29.8890522Z   GITHUB_TOKEN: ***
2025-10-10T00:42:29.8890825Z   JOB_NAME: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:42:29.8891134Z   PR_NUMBER: 
2025-10-10T00:42:29.8891286Z   TAG: 
2025-10-10T00:42:29.8891428Z   EVENT_NAME: push
2025-10-10T00:42:29.8891588Z   SCHEDULE: 
2025-10-10T00:42:29.8891731Z   HEAD_BRANCH: main
2025-10-10T00:42:29.8891891Z ##[endgroup]
2025-10-10T00:42:29.8909333Z Workflow: inductor
2025-10-10T00:42:29.8909707Z Job name: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:42:30.0634945Z Setting output keep-going=True
2025-10-10T00:42:30.0635267Z Setting output ci-verbose-test-logs=False
2025-10-10T00:42:30.0635536Z Setting output ci-test-showlocals=False
2025-10-10T00:42:30.0636074Z Setting output ci-no-test-timeout=False
2025-10-10T00:42:30.0636334Z Setting output ci-no-td=False
2025-10-10T00:42:30.0636549Z Setting output ci-td-distributed=False
2025-10-10T00:42:30.0636764Z Setting output is-unstable=False
2025-10-10T00:42:30.0636956Z Setting output reenabled-issues=
2025-10-10T00:42:30.0638706Z Setting output test-matrix={"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}
2025-10-10T00:42:30.0640277Z Setting output is-test-matrix-empty=False
2025-10-10T00:42:30.0863751Z ##[group]Run echo "Filtered matrix:"
2025-10-10T00:42:30.0863983Z echo "Filtered matrix:"
2025-10-10T00:42:30.0865446Z echo "{"include": [{"config": "cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_huggingface", "shard": 1, "num_shards": 1, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_timm", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 1, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "dynamic_cpu_inductor_torchbench", "shard": 2, "num_shards": 2, "runner": "linux.8xlarge.amx"}, {"config": "inductor_torchbench_cpu_smoketest_perf", "shard": 1, "num_shards": 1, "runner": "linux.24xl.spr-metal"}]}"
2025-10-10T00:42:30.0867005Z 
2025-10-10T00:42:30.0867146Z echo
2025-10-10T00:42:30.0867326Z echo "Is the current job unstable? False"
2025-10-10T00:42:30.0867538Z 
2025-10-10T00:42:30.0867674Z echo
2025-10-10T00:42:30.0867852Z echo "Is keep-going label set? True"
2025-10-10T00:42:30.0868049Z 
2025-10-10T00:42:30.0868186Z echo
2025-10-10T00:42:30.0868345Z echo "Reenabled issues? "
2025-10-10T00:42:30.0872053Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:42:30.0872280Z env:
2025-10-10T00:42:30.0872429Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:30.0872601Z ##[endgroup]
2025-10-10T00:42:30.0887777Z Filtered matrix:
2025-10-10T00:42:30.0889550Z {include: [{config: cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_huggingface, shard: 1, num_shards: 1, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_timm, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 1, num_shards: 2, runner: linux.8xlarge.amx}, {config: dynamic_cpu_inductor_torchbench, shard: 2, num_shards: 2, runner: linux.8xlarge.amx}, {config: inductor_torchbench_cpu_smoketest_perf, shard: 1, num_shards: 1, runner: linux.24xl.spr-metal}]}
2025-10-10T00:42:30.0890997Z 
2025-10-10T00:42:30.0891078Z Is the current job unstable? False
2025-10-10T00:42:30.0891218Z 
2025-10-10T00:42:30.0891291Z Is keep-going label set? True
2025-10-10T00:42:30.0891415Z 
2025-10-10T00:42:30.0891480Z Reenabled issues? 
2025-10-10T00:42:30.1072851Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-10-10T00:42:30.1073177Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-10-10T00:42:30.1076639Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:42:30.1076866Z env:
2025-10-10T00:42:30.1077016Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:30.1077181Z   JOB_TIMEOUT: 240
2025-10-10T00:42:30.1077335Z ##[endgroup]
2025-10-10T00:42:30.1539243Z ##[group]Run env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:42:30.1539567Z env | grep '^GITHUB' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:42:30.1539839Z env | grep '^CI' >> "/tmp/github_env_${GITHUB_RUN_ID}"
2025-10-10T00:42:30.1543253Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:42:30.1543482Z env:
2025-10-10T00:42:30.1543636Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:30.1543805Z ##[endgroup]
2025-10-10T00:42:30.1765866Z ##[group]Run set -x
2025-10-10T00:42:30.1766104Z set -x
2025-10-10T00:42:30.1766256Z 
2025-10-10T00:42:30.1766424Z if [[ $TEST_CONFIG == 'multigpu' ]]; then
2025-10-10T00:42:30.1766675Z   TEST_COMMAND=.ci/pytorch/multigpu-test.sh
2025-10-10T00:42:30.1766919Z elif [[ $BUILD_ENVIRONMENT == *onnx* ]]; then
2025-10-10T00:42:30.1767140Z   TEST_COMMAND=.ci/onnx/test.sh
2025-10-10T00:42:30.1767319Z else
2025-10-10T00:42:30.1767489Z   TEST_COMMAND=.ci/pytorch/test.sh
2025-10-10T00:42:30.1767749Z fi
2025-10-10T00:42:30.1767888Z 
2025-10-10T00:42:30.1768051Z # Leaving 1GB for the runner and other things
2025-10-10T00:42:30.1768395Z TOTAL_AVAILABLE_MEMORY_IN_GB=$(awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo)
2025-10-10T00:42:30.1768906Z # https://docs.docker.com/engine/containers/resource_constraints/#--memory-swap-details, the 3GB swap
2025-10-10T00:42:30.1769309Z # comes from https://github.com/pytorch/test-infra/pull/6058
2025-10-10T00:42:30.1769615Z TOTAL_MEMORY_WITH_SWAP=$(("${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}" + 3))
2025-10-10T00:42:30.1769858Z 
2025-10-10T00:42:30.1770035Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-10-10T00:42:30.1770243Z   SHM_OPTS=
2025-10-10T00:42:30.1770397Z   JENKINS_USER=
2025-10-10T00:42:30.1770623Z   # ensure that docker container cleanly exits in 12 hours
2025-10-10T00:42:30.1770903Z   # if for some reason cleanup action doesn't stop container
2025-10-10T00:42:30.1771145Z   # when job is cancelled
2025-10-10T00:42:30.1771339Z   DOCKER_SHELL_CMD="sleep 12h"
2025-10-10T00:42:30.1771521Z else
2025-10-10T00:42:30.1771689Z   SHM_OPTS="--shm-size=${SHM_SIZE}"
2025-10-10T00:42:30.1771895Z   JENKINS_USER="--user jenkins"
2025-10-10T00:42:30.1772090Z   DOCKER_SHELL_CMD=
2025-10-10T00:42:30.1772251Z fi
2025-10-10T00:42:30.1772386Z 
2025-10-10T00:42:30.1772590Z # detached container should get cleaned up by teardown_ec2_linux
2025-10-10T00:42:30.1772896Z # TODO: Stop building test binaries as part of the build phase
2025-10-10T00:42:30.1773231Z # Used for GPU_FLAG, SHM_OPTS, JENKINS_USER and DOCKER_SHELL_CMD since that doesn't play nice
2025-10-10T00:42:30.1773534Z # shellcheck disable=SC2086,SC2090
2025-10-10T00:42:30.1773738Z container_name=$(docker run \
2025-10-10T00:42:30.1773934Z   ${GPU_FLAG:-} \
2025-10-10T00:42:30.1774127Z   ${SCCACHE_SERVER_PORT_DOCKER_FLAG:-} \
2025-10-10T00:42:30.1774335Z   -e BUILD_ENVIRONMENT \
2025-10-10T00:42:30.1774523Z   -e PR_NUMBER \
2025-10-10T00:42:30.1774699Z   -e GITHUB_ACTIONS \
2025-10-10T00:42:30.1774884Z   -e GITHUB_REPOSITORY \
2025-10-10T00:42:30.1775068Z   -e GITHUB_WORKFLOW \
2025-10-10T00:42:30.1775252Z   -e GITHUB_JOB \
2025-10-10T00:42:30.1775427Z   -e GITHUB_RUN_ID \
2025-10-10T00:42:30.1775609Z   -e GITHUB_RUN_NUMBER \
2025-10-10T00:42:30.1775787Z   -e GITHUB_RUN_ATTEMPT \
2025-10-10T00:42:30.1775969Z   -e JOB_ID \
2025-10-10T00:42:30.1776134Z   -e JOB_NAME \
2025-10-10T00:42:30.1776302Z   -e BASE_SHA \
2025-10-10T00:42:30.1776456Z   -e BRANCH \
2025-10-10T00:42:30.1776618Z   -e SHA1 \
2025-10-10T00:42:30.1776784Z   -e AWS_DEFAULT_REGION \
2025-10-10T00:42:30.1776974Z   -e IN_WHEEL_TEST \
2025-10-10T00:42:30.1777141Z   -e SHARD_NUMBER \
2025-10-10T00:42:30.1777315Z   -e TEST_CONFIG \
2025-10-10T00:42:30.1777489Z   -e NUM_TEST_SHARDS \
2025-10-10T00:42:30.1777672Z   -e REENABLED_ISSUES \
2025-10-10T00:42:30.1777859Z   -e CONTINUE_THROUGH_ERROR \
2025-10-10T00:42:30.1778122Z   -e VERBOSE_TEST_LOGS \
2025-10-10T00:42:30.1778318Z   -e TEST_SHOWLOCALS \
2025-10-10T00:42:30.1778499Z   -e NO_TEST_TIMEOUT \
2025-10-10T00:42:30.1778665Z   -e NO_TD \
2025-10-10T00:42:30.1778834Z   -e TD_DISTRIBUTED \
2025-10-10T00:42:30.1779011Z   -e PR_LABELS \
2025-10-10T00:42:30.1779204Z   -e MAX_JOBS="$(nproc --ignore=2)" \
2025-10-10T00:42:30.1779404Z   -e SCCACHE_BUCKET \
2025-10-10T00:42:30.1779588Z   -e SCCACHE_REGION \
2025-10-10T00:42:30.1779773Z   -e XLA_CUDA \
2025-10-10T00:42:30.1780002Z   -e XLA_CLANG_CACHE_S3_BUCKET_NAME \
2025-10-10T00:42:30.1780224Z   -e PYTORCH_TEST_CUDA_MEM_LEAK_CHECK \
2025-10-10T00:42:30.1780439Z   -e PYTORCH_TEST_RERUN_DISABLED_TESTS \
2025-10-10T00:42:30.1780666Z   -e SKIP_SCCACHE_INITIALIZATION=1 \
2025-10-10T00:42:30.1780878Z   -e HUGGING_FACE_HUB_TOKEN \
2025-10-10T00:42:30.1781085Z   -e VLLM_TEST_HUGGING_FACE_TOKEN \
2025-10-10T00:42:30.1781296Z   -e SCRIBE_GRAPHQL_ACCESS_TOKEN \
2025-10-10T00:42:30.1781484Z   -e DASHBOARD_TAG \
2025-10-10T00:42:30.1781670Z   -e ARTIFACTS_FILE_SUFFIX \
2025-10-10T00:42:30.1781897Z   --memory="${TOTAL_AVAILABLE_MEMORY_IN_GB%.*}g" \
2025-10-10T00:42:30.1782150Z   --memory-swap="${TOTAL_MEMORY_WITH_SWAP}g" \
2025-10-10T00:42:30.1782395Z   --env-file="/tmp/github_env_${GITHUB_RUN_ID}" \
2025-10-10T00:42:30.1782637Z   --security-opt seccomp=unconfined \
2025-10-10T00:42:30.1782844Z   --cap-add=SYS_PTRACE \
2025-10-10T00:42:30.1783034Z   --ipc=host \
2025-10-10T00:42:30.1783192Z   ${SHM_OPTS} \
2025-10-10T00:42:30.1783355Z   --tty \
2025-10-10T00:42:30.1783510Z   --detach \
2025-10-10T00:42:30.1783683Z   --name="${container_name}" \
2025-10-10T00:42:30.1783868Z   ${JENKINS_USER} \
2025-10-10T00:42:30.1784086Z   -v "${GITHUB_WORKSPACE}:/var/lib/jenkins/workspace" \
2025-10-10T00:42:30.1784324Z   -w /var/lib/jenkins/workspace \
2025-10-10T00:42:30.1784521Z   "${DOCKER_IMAGE}" \
2025-10-10T00:42:30.1784695Z   ${DOCKER_SHELL_CMD}
2025-10-10T00:42:30.1784854Z )
2025-10-10T00:42:30.1785060Z echo "DOCKER_CONTAINER_ID=${container_name}" >> "${GITHUB_ENV}"
2025-10-10T00:42:30.1785297Z 
2025-10-10T00:42:30.1785470Z if [[ ${BUILD_ENVIRONMENT} == *"s390x"* ]]; then
2025-10-10T00:42:30.1785800Z   docker exec -t "${container_name}" sh -c "python3 -m pip install -r .ci/docker/requirements-ci.txt"
2025-10-10T00:42:30.1786101Z fi
2025-10-10T00:42:30.1786238Z 
2025-10-10T00:42:30.1786522Z docker exec -t "${container_name}" sh -c "python3 -m pip install $(echo dist/*.whl)[opt-einsum] && ${TEST_COMMAND}"
2025-10-10T00:42:30.1790353Z shell: /usr/bin/bash -e {0}
2025-10-10T00:42:30.1790518Z env:
2025-10-10T00:42:30.1790670Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:42:30.1790886Z   BUILD_ENVIRONMENT: linux-jammy-py3.10-gcc11-build
2025-10-10T00:42:30.1791108Z   PR_NUMBER: 
2025-10-10T00:42:30.1791261Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-10-10T00:42:30.1791458Z   GITHUB_WORKFLOW: inductor
2025-10-10T00:42:30.1791631Z   GITHUB_JOB: test
2025-10-10T00:42:30.1791785Z   GITHUB_RUN_ID: 18392306145
2025-10-10T00:42:30.1791954Z   GITHUB_RUN_NUMBER: 158985
2025-10-10T00:42:30.1792123Z   GITHUB_RUN_ATTEMPT: 1
2025-10-10T00:42:30.1792288Z   JOB_ID: 52406535456
2025-10-10T00:42:30.1792594Z   JOB_NAME: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:42:30.1792904Z   BRANCH: main
2025-10-10T00:42:30.1793078Z   SHA1: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:42:30.1793308Z   BASE_SHA: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:42:30.1793547Z   TEST_CONFIG: inductor_torchbench_cpu_smoketest_perf
2025-10-10T00:42:30.1793751Z   SHARD_NUMBER: 1
2025-10-10T00:42:30.1793962Z   NUM_TEST_SHARDS: 1
2025-10-10T00:42:30.1794125Z   EXTRA_FLAGS: 
2025-10-10T00:42:30.1794276Z   OP_BENCHMARK_TESTS: 
2025-10-10T00:42:30.1794430Z   REENABLED_ISSUES: 
2025-10-10T00:42:30.1794592Z   CONTINUE_THROUGH_ERROR: True
2025-10-10T00:42:30.1794771Z   VERBOSE_TEST_LOGS: False
2025-10-10T00:42:30.1794947Z   TEST_SHOWLOCALS: False
2025-10-10T00:42:30.1795110Z   NO_TEST_TIMEOUT: False
2025-10-10T00:42:30.1795275Z   NO_TD: False
2025-10-10T00:42:30.1795429Z   TD_DISTRIBUTED: False
2025-10-10T00:42:30.1795638Z   SCCACHE_BUCKET: ossci-compiler-cache-circleci-v2
2025-10-10T00:42:30.1795947Z   SCCACHE_REGION: us-east-1
2025-10-10T00:42:30.1796118Z   SHM_SIZE: 1g
2025-10-10T00:42:30.1796600Z   DOCKER_IMAGE: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:42:30.1797082Z   XLA_CUDA: 
2025-10-10T00:42:30.1797315Z   XLA_CLANG_CACHE_S3_BUCKET_NAME: ossci-compiler-clang-cache-circleci-xla
2025-10-10T00:42:30.1797586Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-10-10T00:42:30.1797793Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-10-10T00:42:30.1797984Z   DASHBOARD_TAG: 
2025-10-10T00:42:30.1798378Z   VLLM_TEST_HUGGING_FACE_TOKEN: ***
2025-10-10T00:42:30.1798643Z   HUGGING_FACE_HUB_TOKEN: ***
2025-10-10T00:42:30.1798894Z   SCRIBE_GRAPHQL_ACCESS_TOKEN: ***
2025-10-10T00:42:30.1799238Z   ARTIFACTS_FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456
2025-10-10T00:42:30.1799571Z ##[endgroup]
2025-10-10T00:42:30.1815159Z + [[ inductor_torchbench_cpu_smoketest_perf == \m\u\l\t\i\g\p\u ]]
2025-10-10T00:42:30.1815497Z + [[ linux-jammy-py3.10-gcc11-build == *onnx* ]]
2025-10-10T00:42:30.1815746Z + TEST_COMMAND=.ci/pytorch/test.sh
2025-10-10T00:42:30.1817495Z ++ awk '/MemTotal/ { printf "%.3f \n", $2/1024/1024 - 1 }' /proc/meminfo
2025-10-10T00:42:30.1831733Z + TOTAL_AVAILABLE_MEMORY_IN_GB='187.488 '
2025-10-10T00:42:30.1832200Z + TOTAL_MEMORY_WITH_SWAP=190
2025-10-10T00:42:30.1832487Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-10-10T00:42:30.1832728Z + SHM_OPTS=--shm-size=1g
2025-10-10T00:42:30.1832908Z + JENKINS_USER='--user jenkins'
2025-10-10T00:42:30.1833093Z + DOCKER_SHELL_CMD=
2025-10-10T00:42:30.1839041Z +++ nproc --ignore=2
2025-10-10T00:42:30.2024485Z ++ 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_18392306145 --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-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:45:05.8738382Z + container_name=21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:45:05.8738957Z + echo DOCKER_CONTAINER_ID=21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:45:05.8739366Z + [[ linux-jammy-py3.10-gcc11-build == *\s\3\9\0\x* ]]
2025-10-10T00:45:05.8743465Z ++ echo dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl
2025-10-10T00:45:05.8745468Z + docker exec -t 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039 sh -c 'python3 -m pip install dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl[opt-einsum] && .ci/pytorch/test.sh'
2025-10-10T00:45:06.2936383Z Processing ./dist/torch-2.10.0a0+git344e636-cp310-cp310-linux_x86_64.whl (from torch==2.10.0a0+git344e636)
2025-10-10T00:45:06.4895884Z Requirement already satisfied: filelock in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.18.0)
2025-10-10T00:45:06.4896719Z Requirement already satisfied: typing-extensions>=4.10.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (4.15.0)
2025-10-10T00:45:06.4897779Z Requirement already satisfied: sympy>=1.13.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.13.3)
2025-10-10T00:45:06.4898544Z Requirement already satisfied: networkx>=2.5.1 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (2.8.8)
2025-10-10T00:45:06.4899203Z Requirement already satisfied: jinja2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.1.6)
2025-10-10T00:45:06.4901958Z Requirement already satisfied: fsspec>=0.8.5 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (2025.9.0)
2025-10-10T00:45:06.4911644Z Requirement already satisfied: opt-einsum>=3.3 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.3.0)
2025-10-10T00:45:06.5172954Z Requirement already satisfied: numpy>=1.7 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opt-einsum>=3.3->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.22.4)
2025-10-10T00:45:06.5185165Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from sympy>=1.13.3->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (1.3.0)
2025-10-10T00:45:06.5225193Z Requirement already satisfied: MarkupSafe>=2.0 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from jinja2->torch==2.10.0a0+git344e636->torch==2.10.0a0+git344e636) (3.0.3)
2025-10-10T00:45:07.2037527Z Installing collected packages: torch
2025-10-10T00:45:13.7122768Z 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.
2025-10-10T00:45:13.7123359Z dall-e 0.1 requires torchvision, which is not installed.
2025-10-10T00:45:13.7123638Z effdet 0.4.1 requires torchvision, which is not installed.
2025-10-10T00:45:13.7123937Z python-doctr 1.0.0 requires torchvision>=0.15.0, which is not installed.
2025-10-10T00:45:13.7124292Z pytorch-labs-segment-anything-fast 0.2 requires torchao, which is not installed.
2025-10-10T00:45:13.7124736Z pytorch-labs-segment-anything-fast 0.2 requires torchvision>=0.17.0.dev20231026, which is not installed.
2025-10-10T00:45:13.7125173Z timm 1.0.14 requires torchvision, which is not installed.
2025-10-10T00:45:13.7125491Z Successfully installed torch-2.10.0a0+git344e636
2025-10-10T00:45:13.8079405Z + export TERM=vt100
2025-10-10T00:45:13.8079608Z + TERM=vt100
2025-10-10T00:45:13.8079770Z ++ dirname .ci/pytorch/test.sh
2025-10-10T00:45:13.8080982Z + source .ci/pytorch/common.sh
2025-10-10T00:45:13.8084141Z +++ dirname .ci/pytorch/common.sh
2025-10-10T00:45:13.8089447Z ++ source .ci/pytorch/common_utils.sh
2025-10-10T00:45:13.8090248Z +++ declare -f -t trap_add
2025-10-10T00:45:13.8093606Z ++ set -ex -o pipefail
2025-10-10T00:45:13.8093817Z ++ [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-10-10T00:45:13.8094043Z ++ BUILD_TEST_LIBTORCH=0
2025-10-10T00:45:13.8098725Z ++ dirname .ci/pytorch/test.sh
2025-10-10T00:45:13.8103044Z + source .ci/pytorch/common-build.sh
2025-10-10T00:45:13.8104248Z ++ [[ linux-jammy-py3.10-gcc11-build != *win-* ]]
2025-10-10T00:45:13.8107933Z ++++ dirname .ci/pytorch/common-build.sh
2025-10-10T00:45:13.8112298Z +++ cd .ci/pytorch
2025-10-10T00:45:13.8112603Z +++ pwd -P
2025-10-10T00:45:13.8114634Z ++ script_dir=/var/lib/jenkins/workspace/.ci/pytorch
2025-10-10T00:45:13.8114929Z ++ [[ linux-jammy-py3.10-gcc11-build == *-pch* ]]
2025-10-10T00:45:13.8115126Z ++ which sccache
2025-10-10T00:45:13.8129958Z ++ [[ -z ossci-compiler-cache-circleci-v2 ]]
2025-10-10T00:45:13.8130227Z ++ sccache --stop-server
2025-10-10T00:45:13.8150749Z ++ true
2025-10-10T00:45:13.8150931Z ++ rm -f /var/lib/jenkins/sccache_error.log
2025-10-10T00:45:13.8158917Z ++ trap_add sccache_epilogue EXIT
2025-10-10T00:45:13.8159130Z ++ trap_add_cmd=sccache_epilogue
2025-10-10T00:45:13.8159327Z ++ shift
2025-10-10T00:45:13.8159507Z ++ for trap_add_name in "$@"
2025-10-10T00:45:13.8164123Z ++++ trap -p EXIT
2025-10-10T00:45:13.8165971Z +++ eval 'extract_trap_cmd '
2025-10-10T00:45:13.8166148Z ++++ extract_trap_cmd
2025-10-10T00:45:13.8166333Z ++++ printf '%s\n' ''
2025-10-10T00:45:13.8166520Z +++ printf '%s\n' sccache_epilogue
2025-10-10T00:45:13.8167563Z ++ trap -- '
2025-10-10T00:45:13.8167718Z sccache_epilogue' EXIT
2025-10-10T00:45:13.8167901Z ++ [[ -n 1 ]]
2025-10-10T00:45:13.8168170Z ++ echo 'Skipping sccache server initialization, setting environment variables'
2025-10-10T00:45:13.8168539Z Skipping sccache server initialization, setting environment variables
2025-10-10T00:45:13.8168806Z ++ export SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:45:13.8169004Z ++ SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:45:13.8169247Z ++ export SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:45:13.8169539Z ++ SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:45:13.8178976Z ++ export RUST_LOG=sccache::server=error
2025-10-10T00:45:13.8179227Z ++ RUST_LOG=sccache::server=error
2025-10-10T00:45:13.8179435Z ++ sccache --zero-stats
2025-10-10T00:45:13.9684517Z Statistics zeroed.
2025-10-10T00:45:13.9690651Z ++ which ccache
2025-10-10T00:45:13.9711476Z + [[ linux-jammy-py3.10-gcc11-build != *rocm* ]]
2025-10-10T00:45:13.9711774Z + [[ linux-jammy-py3.10-gcc11-build != *s390x* ]]
2025-10-10T00:45:13.9712047Z + [[ -d /var/lib/jenkins/workspace ]]
2025-10-10T00:45:13.9714184Z ++ stat -c %u /var/lib/jenkins/workspace
2025-10-10T00:45:13.9724469Z + WORKSPACE_ORIGINAL_OWNER_ID=1000
2025-10-10T00:45:13.9724719Z + trap_add cleanup_workspace EXIT
2025-10-10T00:45:13.9725175Z + trap_add_cmd=cleanup_workspace
2025-10-10T00:45:13.9725388Z + shift
2025-10-10T00:45:13.9725559Z + for trap_add_name in "$@"
2025-10-10T00:45:13.9730422Z +++ trap -p EXIT
2025-10-10T00:45:13.9732153Z ++ eval 'extract_trap_cmd trap -- '\''
2025-10-10T00:45:13.9732384Z sccache_epilogue'\'' EXIT'
2025-10-10T00:45:13.9732591Z +++ extract_trap_cmd trap -- '
2025-10-10T00:45:13.9732798Z sccache_epilogue' EXIT
2025-10-10T00:45:13.9732992Z +++ printf '%s\n' '
2025-10-10T00:45:13.9733163Z sccache_epilogue'
2025-10-10T00:45:13.9733357Z ++ printf '%s\n' cleanup_workspace
2025-10-10T00:45:13.9734076Z + trap -- '
2025-10-10T00:45:13.9734249Z sccache_epilogue
2025-10-10T00:45:13.9734422Z cleanup_workspace' EXIT
2025-10-10T00:45:13.9734653Z + sudo chown -R jenkins /var/lib/jenkins/workspace
2025-10-10T00:45:14.3859198Z + git config --global --add safe.directory /var/lib/jenkins/workspace
2025-10-10T00:45:14.3866444Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:45:14.3866684Z + echo 'Environment variables:'
2025-10-10T00:45:14.3866881Z Environment variables:
2025-10-10T00:45:14.3867040Z + env
2025-10-10T00:45:14.3874222Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:45:14.3874626Z CONTINUE_THROUGH_ERROR=True
2025-10-10T00:45:14.3874887Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-10-10T00:45:14.3875362Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-10-10T00:45:14.3875564Z HOSTNAME=21604e2569e0
2025-10-10T00:45:14.3876243Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_fbff3cf4-9572-4295-b062-f053b2e1c779
2025-10-10T00:45:14.3876701Z GITHUB_ACTION=__run_2
2025-10-10T00:45:14.3876888Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-10-10T00:45:14.3877093Z GITHUB_RUN_NUMBER=158985
2025-10-10T00:45:14.3877310Z TEST_CONFIG=inductor_torchbench_cpu_smoketest_perf
2025-10-10T00:45:14.3877568Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-10-10T00:45:14.3877780Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-10-10T00:45:14.3877972Z SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:45:14.3878228Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-10-10T00:45:14.3878430Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-10-10T00:45:14.3879548Z GITHUB_REF_TYPE=branch
2025-10-10T00:45:14.3879735Z BASE_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:45:14.3879945Z XLA_CUDA=
2025-10-10T00:45:14.3880102Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-10-10T00:45:14.3880358Z HUGGING_FACE_HUB_TOKEN=***
2025-10-10T00:45:14.3880711Z ***
2025-10-10T00:45:14.3880857Z GITHUB_REPOSITORY_ID=65600975
2025-10-10T00:45:14.3881043Z GITHUB_ACTIONS=true
2025-10-10T00:45:14.3881247Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:45:14.3881490Z SHA1=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:45:14.3881716Z GITHUB_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:45:14.3882037Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-10-10T00:45:14.3882328Z UCC_HOME=/usr
2025-10-10T00:45:14.3882485Z VERBOSE_TEST_LOGS=False
2025-10-10T00:45:14.3882654Z GITHUB_REF=refs/heads/main
2025-10-10T00:45:14.3882826Z SHARD_NUMBER=1
2025-10-10T00:45:14.3882986Z GITHUB_REF_PROTECTED=true
2025-10-10T00:45:14.3883162Z HOME=/var/lib/jenkins
2025-10-10T00:45:14.3883405Z GITHUB_API_URL=https://api.github.com
2025-10-10T00:45:14.3883613Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-10-10T00:45:14.3883797Z UCX_COMMIT=
2025-10-10T00:45:14.3883940Z USE_SYSTEM_NCCL=1
2025-10-10T00:45:14.3884094Z NUM_TEST_SHARDS=1
2025-10-10T00:45:14.3884235Z UCX_HOME=/usr
2025-10-10T00:45:14.3884574Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_fbff3cf4-9572-4295-b062-f053b2e1c779
2025-10-10T00:45:14.3885083Z JOB_NAME=inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:45:14.3885577Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_fbff3cf4-9572-4295-b062-f053b2e1c779
2025-10-10T00:45:14.3886037Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-10-10T00:45:14.3886318Z GITHUB_EVENT_NAME=push
2025-10-10T00:45:14.3886485Z DASHBOARD_TAG=
2025-10-10T00:45:14.3886644Z GITHUB_RUN_ID=18392306145
2025-10-10T00:45:14.3886813Z INSTALLED_OPENBLAS=
2025-10-10T00:45:14.3887159Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_fbff3cf4-9572-4295-b062-f053b2e1c779
2025-10-10T00:45:14.3887543Z GITHUB_ACTOR=pytorchmergebot
2025-10-10T00:45:14.3887715Z PR_NUMBER=
2025-10-10T00:45:14.3887856Z DESIRED_CUDA=
2025-10-10T00:45:14.3887998Z GITHUB_RUN_ATTEMPT=1
2025-10-10T00:45:14.3888168Z ANACONDA_PYTHON_VERSION=3.10
2025-10-10T00:45:14.3888378Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-10-10T00:45:14.3888590Z TERM=vt100
2025-10-10T00:45:14.3888728Z INSTALLED_VISION=yes
2025-10-10T00:45:14.3888885Z BRANCH=main
2025-10-10T00:45:14.3889037Z SCCACHE_REGION=us-east-1
2025-10-10T00:45:14.3889215Z OPENSSL_ROOT_DIR=/opt/openssl
2025-10-10T00:45:14.3889394Z CUDA_PATH=/usr/local/cuda
2025-10-10T00:45:14.3889703Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-10-10T00:45:14.3890049Z GITHUB_SERVER_URL=https://github.com
2025-10-10T00:45:14.3890244Z UCC_COMMIT=
2025-10-10T00:45:14.3890381Z REENABLED_ISSUES=
2025-10-10T00:45:14.3890531Z DOCS=yes
2025-10-10T00:45:14.3890671Z SHLVL=1
2025-10-10T00:45:14.3890807Z MAX_JOBS=94
2025-10-10T00:45:14.3890945Z GITHUB_ACTOR_ID=97764156
2025-10-10T00:45:14.3891161Z GITHUB_WORKFLOW_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:45:14.3891457Z GITHUB_REF_NAME=main
2025-10-10T00:45:14.3891704Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-10-10T00:45:14.3891954Z GITHUB_JOB=test
2025-10-10T00:45:14.3892142Z NO_TEST_TIMEOUT=False
2025-10-10T00:45:14.3892307Z TD_DISTRIBUTED=False
2025-10-10T00:45:14.3892484Z GITHUB_REPOSITORY=pytorch/pytorch
2025-10-10T00:45:14.3892672Z GITHUB_RETENTION_DAYS=90
2025-10-10T00:45:14.3892849Z OPENSSL_DIR=/opt/openssl
2025-10-10T00:45:14.3893026Z GITHUB_ACTION_REPOSITORY=
2025-10-10T00:45:14.3893484Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:45:14.3893964Z GITHUB_BASE_REF=
2025-10-10T00:45:14.3894118Z INSTALLED_ACL=
2025-10-10T00:45:14.3894417Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456
2025-10-10T00:45:14.3894742Z CI=true
2025-10-10T00:45:14.3894882Z GITHUB_REPOSITORY_OWNER=pytorch
2025-10-10T00:45:14.3895112Z RUST_LOG=sccache::server=error
2025-10-10T00:45:14.3895287Z JOB_ID=52406535456
2025-10-10T00:45:14.3895440Z GITHUB_HEAD_REF=
2025-10-10T00:45:14.3895585Z GITHUB_ACTION_REF=
2025-10-10T00:45:14.3895776Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-10-10T00:45:14.3895993Z TEST_SHOWLOCALS=False
2025-10-10T00:45:14.3896157Z GITHUB_WORKFLOW=inductor
2025-10-10T00:45:14.3896327Z DEBIAN_FRONTEND=noninteractive
2025-10-10T00:45:14.3896689Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_fbff3cf4-9572-4295-b062-f053b2e1c779
2025-10-10T00:45:14.3897049Z NO_TD=False
2025-10-10T00:45:14.3897202Z SKIP_SCCACHE_INITIALIZATION=1
2025-10-10T00:45:14.3897391Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-10-10T00:45:14.3897585Z _=/usr/bin/env
2025-10-10T00:45:14.3897791Z ++ python -c 'import site; print(site.getsitepackages()[0])'
2025-10-10T00:45:14.4098793Z + TORCH_INSTALL_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch
2025-10-10T00:45:14.4101884Z + TORCH_BIN_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/bin
2025-10-10T00:45:14.4102343Z + TORCH_LIB_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/lib
2025-10-10T00:45:14.4102748Z + TORCH_TEST_DIR=/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/test
2025-10-10T00:45:14.4103150Z + BUILD_DIR=build
2025-10-10T00:45:14.4103418Z + BUILD_RENAMED_DIR=build_renamed
2025-10-10T00:45:14.4103693Z + BUILD_BIN_DIR=build/bin
2025-10-10T00:45:14.4103884Z + SHARD_NUMBER=1
2025-10-10T00:45:14.4104087Z + NUM_TEST_SHARDS=1
2025-10-10T00:45:14.4104288Z + export TORCH_SERIALIZATION_DEBUG=1
2025-10-10T00:45:14.4104532Z + TORCH_SERIALIZATION_DEBUG=1
2025-10-10T00:45:14.4104754Z + export VALGRIND=ON
2025-10-10T00:45:14.4104966Z + VALGRIND=ON
2025-10-10T00:45:14.4105189Z + [[ linux-jammy-py3.10-gcc11-build == *clang9* ]]
2025-10-10T00:45:14.4105431Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-10-10T00:45:14.4105625Z + detect_cuda_arch
2025-10-10T00:45:14.4105807Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:45:14.4106038Z + [[ linux-jammy-py3.10-gcc11-build == *s390x* ]]
2025-10-10T00:45:14.4106243Z + [[ 0 == \1 ]]
2025-10-10T00:45:14.4106384Z + [[ True == \1 ]]
2025-10-10T00:45:14.4106558Z + [[ linux-jammy-py3.10-gcc11-build != *bazel* ]]
2025-10-10T00:45:14.4106773Z ++ realpath build/custom_test_artifacts
2025-10-10T00:45:14.4109944Z + CUSTOM_TEST_ARTIFACT_BUILD_DIR=/var/lib/jenkins/workspace/build/custom_test_artifacts
2025-10-10T00:45:14.4110224Z + [[ -n '' ]]
2025-10-10T00:45:14.4110385Z + echo 'Environment variables'
2025-10-10T00:45:14.4110568Z Environment variables
2025-10-10T00:45:14.4110730Z + env
2025-10-10T00:45:14.4126563Z GITHUB_WORKSPACE=/home/ec2-user/actions-runner/_work/pytorch/pytorch
2025-10-10T00:45:14.4126915Z CONTINUE_THROUGH_ERROR=True
2025-10-10T00:45:14.4127140Z BUILD_ENVIRONMENT=linux-jammy-py3.10-gcc11-build
2025-10-10T00:45:14.4127502Z VLLM_TEST_HUGGING_FACE_TOKEN=***
2025-10-10T00:45:14.4127688Z HOSTNAME=21604e2569e0
2025-10-10T00:45:14.4128223Z GITHUB_PATH=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/add_path_fbff3cf4-9572-4295-b062-f053b2e1c779
2025-10-10T00:45:14.4128591Z GITHUB_ACTION=__run_2
2025-10-10T00:45:14.4128768Z PYTORCH_TEST_CUDA_MEM_LEAK_CHECK=0
2025-10-10T00:45:14.4128958Z GITHUB_RUN_NUMBER=158985
2025-10-10T00:45:14.4129153Z TEST_CONFIG=inductor_torchbench_cpu_smoketest_perf
2025-10-10T00:45:14.4129374Z GITHUB_REPOSITORY_OWNER_ID=21003710
2025-10-10T00:45:14.4129579Z TORCH_NVCC_FLAGS=-Xfatbin -compress-all
2025-10-10T00:45:14.4129772Z SCCACHE_IDLE_TIMEOUT=0
2025-10-10T00:45:14.4130015Z SCRIBE_GRAPHQL_ACCESS_TOKEN=***
2025-10-10T00:45:14.4130259Z GITHUB_TRIGGERING_ACTOR=pytorchmergebot
2025-10-10T00:45:14.4130452Z GITHUB_REF_TYPE=branch
2025-10-10T00:45:14.4130640Z BASE_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:45:14.4130906Z XLA_CUDA=
2025-10-10T00:45:14.4131091Z NCCL_LIB_DIR=/usr/local/cuda/lib64/
2025-10-10T00:45:14.4131481Z HUGGING_FACE_HUB_TOKEN=***
2025-10-10T00:45:14.4131747Z ***
2025-10-10T00:45:14.4131896Z GITHUB_REPOSITORY_ID=65600975
2025-10-10T00:45:14.4132065Z GITHUB_ACTIONS=true
2025-10-10T00:45:14.4132256Z SCCACHE_ERROR_LOG=/var/lib/jenkins/sccache_error.log
2025-10-10T00:45:14.4132491Z SHA1=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:45:14.4132748Z GITHUB_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:45:14.4133047Z GITHUB_WORKFLOW_REF=pytorch/pytorch/.github/workflows/inductor.yml@refs/heads/main
2025-10-10T00:45:14.4133326Z UCC_HOME=/usr
2025-10-10T00:45:14.4133473Z TORCH_SERIALIZATION_DEBUG=1
2025-10-10T00:45:14.4133650Z VERBOSE_TEST_LOGS=False
2025-10-10T00:45:14.4133825Z GITHUB_REF=refs/heads/main
2025-10-10T00:45:14.4133993Z SHARD_NUMBER=1
2025-10-10T00:45:14.4134141Z GITHUB_REF_PROTECTED=true
2025-10-10T00:45:14.4134323Z HOME=/var/lib/jenkins
2025-10-10T00:45:14.4134502Z GITHUB_API_URL=https://api.github.com
2025-10-10T00:45:14.4134712Z PYTORCH_TEST_RERUN_DISABLED_TESTS=0
2025-10-10T00:45:14.4134885Z UCX_COMMIT=
2025-10-10T00:45:14.4135031Z USE_SYSTEM_NCCL=1
2025-10-10T00:45:14.4135184Z NUM_TEST_SHARDS=1
2025-10-10T00:45:14.4135327Z UCX_HOME=/usr
2025-10-10T00:45:14.4135644Z GITHUB_STATE=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/save_state_fbff3cf4-9572-4295-b062-f053b2e1c779
2025-10-10T00:45:14.4136142Z JOB_NAME=inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:45:14.4136625Z GITHUB_ENV=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_env_fbff3cf4-9572-4295-b062-f053b2e1c779
2025-10-10T00:45:14.4137075Z GITHUB_EVENT_PATH=/home/ec2-user/actions-runner/_work/_temp/_github_workflow/event.json
2025-10-10T00:45:14.4137355Z GITHUB_EVENT_NAME=push
2025-10-10T00:45:14.4137520Z DASHBOARD_TAG=
2025-10-10T00:45:14.4137673Z GITHUB_RUN_ID=18392306145
2025-10-10T00:45:14.4137841Z INSTALLED_OPENBLAS=
2025-10-10T00:45:14.4138185Z GITHUB_STEP_SUMMARY=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/step_summary_fbff3cf4-9572-4295-b062-f053b2e1c779
2025-10-10T00:45:14.4138574Z GITHUB_ACTOR=pytorchmergebot
2025-10-10T00:45:14.4138746Z PR_NUMBER=
2025-10-10T00:45:14.4138887Z DESIRED_CUDA=
2025-10-10T00:45:14.4139048Z GITHUB_RUN_ATTEMPT=1
2025-10-10T00:45:14.4139255Z VALGRIND=ON
2025-10-10T00:45:14.4139448Z ANACONDA_PYTHON_VERSION=3.10
2025-10-10T00:45:14.4139758Z GITHUB_GRAPHQL_URL=https://api.github.com/graphql
2025-10-10T00:45:14.4140059Z TERM=vt100
2025-10-10T00:45:14.4140251Z INSTALLED_VISION=yes
2025-10-10T00:45:14.4140470Z BRANCH=main
2025-10-10T00:45:14.4140671Z SCCACHE_REGION=us-east-1
2025-10-10T00:45:14.4140907Z OPENSSL_ROOT_DIR=/opt/openssl
2025-10-10T00:45:14.4141155Z CUDA_PATH=/usr/local/cuda
2025-10-10T00:45:14.4141587Z GITHUB_ACTION_PATH=/home/ec2-user/actions-runner/_work/pytorch/pytorch/./.github/actions/setup-linux
2025-10-10T00:45:14.4142127Z GITHUB_SERVER_URL=https://github.com
2025-10-10T00:45:14.4142425Z UCC_COMMIT=
2025-10-10T00:45:14.4142651Z REENABLED_ISSUES=
2025-10-10T00:45:14.4142881Z DOCS=yes
2025-10-10T00:45:14.4143099Z SHLVL=1
2025-10-10T00:45:14.4143417Z MAX_JOBS=94
2025-10-10T00:45:14.4143620Z GITHUB_ACTOR_ID=97764156
2025-10-10T00:45:14.4143921Z GITHUB_WORKFLOW_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:45:14.4144230Z GITHUB_REF_NAME=main
2025-10-10T00:45:14.4144476Z XLA_CLANG_CACHE_S3_BUCKET_NAME=ossci-compiler-clang-cache-circleci-xla
2025-10-10T00:45:14.4144737Z GITHUB_JOB=test
2025-10-10T00:45:14.4144889Z NO_TEST_TIMEOUT=False
2025-10-10T00:45:14.4145053Z TD_DISTRIBUTED=False
2025-10-10T00:45:14.4145231Z GITHUB_REPOSITORY=pytorch/pytorch
2025-10-10T00:45:14.4145420Z GITHUB_RETENTION_DAYS=90
2025-10-10T00:45:14.4145633Z OPENSSL_DIR=/opt/openssl
2025-10-10T00:45:14.4145806Z GITHUB_ACTION_REPOSITORY=
2025-10-10T00:45:14.4146265Z PATH=/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:45:14.4146708Z GITHUB_BASE_REF=
2025-10-10T00:45:14.4146851Z INSTALLED_ACL=
2025-10-10T00:45:14.4147163Z ARTIFACTS_FILE_SUFFIX=test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456
2025-10-10T00:45:14.4147496Z CI=true
2025-10-10T00:45:14.4147649Z GITHUB_REPOSITORY_OWNER=pytorch
2025-10-10T00:45:14.4147853Z RUST_LOG=sccache::server=error
2025-10-10T00:45:14.4148028Z JOB_ID=52406535456
2025-10-10T00:45:14.4148179Z GITHUB_HEAD_REF=
2025-10-10T00:45:14.4148332Z GITHUB_ACTION_REF=
2025-10-10T00:45:14.4148515Z SCCACHE_BUCKET=ossci-compiler-cache-circleci-v2
2025-10-10T00:45:14.4148735Z TEST_SHOWLOCALS=False
2025-10-10T00:45:14.4148896Z GITHUB_WORKFLOW=inductor
2025-10-10T00:45:14.4149074Z DEBIAN_FRONTEND=noninteractive
2025-10-10T00:45:14.4149433Z GITHUB_OUTPUT=/home/ec2-user/actions-runner/_work/_temp/_runner_file_commands/set_output_fbff3cf4-9572-4295-b062-f053b2e1c779
2025-10-10T00:45:14.4149795Z NO_TD=False
2025-10-10T00:45:14.4149953Z SKIP_SCCACHE_INITIALIZATION=1
2025-10-10T00:45:14.4150145Z NCCL_INCLUDE_DIR=/usr/local/cuda/include/
2025-10-10T00:45:14.4150328Z _=/usr/bin/env
2025-10-10T00:45:14.4150486Z + echo 'Testing pytorch'
2025-10-10T00:45:14.4150651Z Testing pytorch
2025-10-10T00:45:14.4150809Z + export LANG=C.UTF-8
2025-10-10T00:45:14.4150958Z + LANG=C.UTF-8
2025-10-10T00:45:14.4151102Z + PR_NUMBER=
2025-10-10T00:45:14.4151310Z + [[ inductor_torchbench_cpu_smoketest_perf == \d\e\f\a\u\l\t ]]
2025-10-10T00:45:14.4151621Z + [[ inductor_torchbench_cpu_smoketest_perf == \d\i\s\t\r\i\b\u\t\e\d ]]
2025-10-10T00:45:14.4151905Z + [[ inductor_torchbench_cpu_smoketest_perf == \s\l\o\w ]]
2025-10-10T00:45:14.4152174Z + [[ linux-jammy-py3.10-gcc11-build == *slow-gradcheck* ]]
2025-10-10T00:45:14.4152434Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:45:14.4152668Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-10-10T00:45:14.4152888Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-10-10T00:45:14.4153140Z + [[ inductor_torchbench_cpu_smoketest_perf == *crossref* ]]
2025-10-10T00:45:14.4153388Z + [[ linux-jammy-py3.10-gcc11-build == *rocm* ]]
2025-10-10T00:45:14.4153617Z + [[ linux-jammy-py3.10-gcc11-build == *xpu* ]]
2025-10-10T00:45:14.4153844Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-10-10T00:45:14.4154064Z + pip_install ninja==1.10.2
2025-10-10T00:45:14.4154294Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-10-10T00:45:14.4154578Z + python3 -m pip install --progress-bar off ninja==1.10.2
2025-10-10T00:45:14.7200772Z Collecting ninja==1.10.2
2025-10-10T00:45:14.7341657Z   Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl.metadata (5.0 kB)
2025-10-10T00:45:14.7412286Z Downloading ninja-1.10.2-py2.py3-none-manylinux_2_5_x86_64.manylinux1_x86_64.whl (108 kB)
2025-10-10T00:45:15.4070921Z Installing collected packages: ninja
2025-10-10T00:45:15.4071288Z   Attempting uninstall: ninja
2025-10-10T00:45:15.4072074Z     Found existing installation: ninja 1.11.1.4
2025-10-10T00:45:15.4085236Z     Uninstalling ninja-1.11.1.4:
2025-10-10T00:45:15.4130648Z       Successfully uninstalled ninja-1.11.1.4
2025-10-10T00:45:15.4513950Z Successfully installed ninja-1.10.2
2025-10-10T00:45:15.5317952Z + export PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:45:15.5319009Z + PATH=/var/lib/jenkins/.local/bin:/opt/cache/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/opt/conda/envs/py_3.10/bin:/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
2025-10-10T00:45:15.5319590Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-10-10T00:45:15.5320079Z + [[ linux-jammy-py3.10-gcc11-build == *asan* ]]
2025-10-10T00:45:15.5320321Z + [[ linux-jammy-py3.10-gcc11-build == *-debug* ]]
2025-10-10T00:45:15.5320564Z + [[ linux-jammy-py3.10-gcc11-build != *-bazel-* ]]
2025-10-10T00:45:15.5320889Z + echo 'We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass'
2025-10-10T00:45:15.5321275Z We are not in debug mode: linux-jammy-py3.10-gcc11-build. Expect the assertion to pass
2025-10-10T00:45:15.5321546Z + cd test
2025-10-10T00:45:15.5321769Z + python -c 'import torch; torch._C._crash_if_debug_asserts_fail(424242)'
2025-10-10T00:45:15.8228737Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:45:15.8230248Z   import pynvml  # type: ignore[import]
2025-10-10T00:45:16.5577533Z + [[ inductor_torchbench_cpu_smoketest_perf == \n\o\g\p\u\_\N\O\_\A\V\X\2 ]]
2025-10-10T00:45:16.5578015Z + [[ inductor_torchbench_cpu_smoketest_perf == \n\o\g\p\u\_\A\V\X\5\1\2 ]]
2025-10-10T00:45:16.5578436Z + [[ inductor_torchbench_cpu_smoketest_perf == \l\e\g\a\c\y\_\n\v\i\d\i\a\_\d\r\i\v\e\r ]]
2025-10-10T00:45:16.5578794Z + DYNAMO_BENCHMARK_FLAGS=()
2025-10-10T00:45:16.5579106Z + [[ inductor_torchbench_cpu_smoketest_perf == *pr_time_benchmarks* ]]
2025-10-10T00:45:16.5579464Z + [[ inductor_torchbench_cpu_smoketest_perf == *dynamo_eager* ]]
2025-10-10T00:45:16.5579787Z + [[ inductor_torchbench_cpu_smoketest_perf == *aot_eager* ]]
2025-10-10T00:45:16.5580114Z + [[ inductor_torchbench_cpu_smoketest_perf == *aot_inductor* ]]
2025-10-10T00:45:16.5580470Z + [[ inductor_torchbench_cpu_smoketest_perf == *max_autotune_inductor* ]]
2025-10-10T00:45:16.5580807Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor* ]]
2025-10-10T00:45:16.5581112Z + [[ inductor_torchbench_cpu_smoketest_perf != *perf* ]]
2025-10-10T00:45:16.5581416Z + [[ inductor_torchbench_cpu_smoketest_perf == *dynamic* ]]
2025-10-10T00:45:16.5581707Z + [[ inductor_torchbench_cpu_smoketest_perf == *cpu* ]]
2025-10-10T00:45:16.5581997Z + DYNAMO_BENCHMARK_FLAGS+=(--device cpu)
2025-10-10T00:45:16.5604451Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-10-10T00:45:16.5604747Z + [[ linux-jammy-py3.10-gcc11-build == *-bazel-* ]]
2025-10-10T00:45:16.5606739Z + cd test
2025-10-10T00:45:16.5607321Z + python -c 'import torch; print(torch.__config__.show())'
2025-10-10T00:45:16.8490189Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:45:16.8491748Z   import pynvml  # type: ignore[import]
2025-10-10T00:45:17.3919117Z PyTorch built with:
2025-10-10T00:45:17.3919355Z   - GCC 11.4
2025-10-10T00:45:17.3919513Z   - C++ Version: 201703
2025-10-10T00:45:17.3919896Z   - Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-10-10T00:45:17.3920312Z   - Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-10-10T00:45:17.3920579Z   - OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-10-10T00:45:17.3923387Z   - LAPACK is enabled (usually provided by MKL)
2025-10-10T00:45:17.3923668Z   - NNPACK is enabled
2025-10-10T00:45:17.3923850Z   - CPU capability usage: AVX512
2025-10-10T00:45:17.3926325Z   - Build settings: BLAS_INFO=mkl, BUILD_TYPE=Release, COMMIT_SHA=344e6365a0068c2d2847fcec0c55dd53291d475e, 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=2.10.0, 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, 
2025-10-10T00:45:17.3928927Z 
2025-10-10T00:45:17.5758184Z + cd test
2025-10-10T00:45:17.5758522Z + python -c 'import torch; print(torch.__config__.parallel_info())'
2025-10-10T00:45:17.8612956Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:45:17.8614454Z   import pynvml  # type: ignore[import]
2025-10-10T00:45:18.4094518Z ATen/Parallel:
2025-10-10T00:45:18.4111909Z 	at::get_num_threads() : 48
2025-10-10T00:45:18.4112238Z 	at::get_num_interop_threads() : 48
2025-10-10T00:45:18.4112498Z OpenMP 201511 (a.k.a. OpenMP 4.5)
2025-10-10T00:45:18.4112699Z 	omp_get_max_threads() : 48
2025-10-10T00:45:18.4113049Z Intel(R) oneAPI Math Kernel Library Version 2024.2-Product Build 20240605 for Intel(R) 64 architecture applications
2025-10-10T00:45:18.4113392Z 	mkl_get_max_threads() : 48
2025-10-10T00:45:18.4113652Z Intel(R) MKL-DNN v3.7.1 (Git Hash 8d263e693366ef8db40acc569cc7d8edf644556d)
2025-10-10T00:45:18.4114089Z std::thread::hardware_concurrency() : 96
2025-10-10T00:45:18.4114313Z Environment variables:
2025-10-10T00:45:18.4114496Z 	OMP_NUM_THREADS : [not set]
2025-10-10T00:45:18.4114688Z 	MKL_NUM_THREADS : [not set]
2025-10-10T00:45:18.4114876Z ATen parallel backend: OpenMP
2025-10-10T00:45:18.4114991Z 
2025-10-10T00:45:18.5931179Z + [[ inductor_torchbench_cpu_smoketest_perf == *numpy_2* ]]
2025-10-10T00:45:18.5931543Z + [[ linux-jammy-py3.10-gcc11-build == *aarch64* ]]
2025-10-10T00:45:18.5931863Z + [[ inductor_torchbench_cpu_smoketest_perf == *backward* ]]
2025-10-10T00:45:18.5932228Z + [[ inductor_torchbench_cpu_smoketest_perf == *xla* ]]
2025-10-10T00:45:18.5932557Z + [[ inductor_torchbench_cpu_smoketest_perf == *vllm* ]]
2025-10-10T00:45:18.5932859Z + [[ inductor_torchbench_cpu_smoketest_perf == *executorch* ]]
2025-10-10T00:45:18.5933215Z + [[ inductor_torchbench_cpu_smoketest_perf == \j\i\t\_\l\e\g\a\c\y ]]
2025-10-10T00:45:18.5933588Z + [[ inductor_torchbench_cpu_smoketest_perf == \q\u\a\n\t\i\z\a\t\i\o\n ]]
2025-10-10T00:45:18.5933920Z + [[ linux-jammy-py3.10-gcc11-build == *libtorch* ]]
2025-10-10T00:45:18.5934224Z + [[ inductor_torchbench_cpu_smoketest_perf == distributed ]]
2025-10-10T00:45:18.5934570Z + [[ inductor_torchbench_cpu_smoketest_perf == *operator_benchmark* ]]
2025-10-10T00:45:18.5934943Z + [[ inductor_torchbench_cpu_smoketest_perf == *operator_microbenchmark* ]]
2025-10-10T00:45:18.5935326Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor_distributed* ]]
2025-10-10T00:45:18.5935690Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor-halide* ]]
2025-10-10T00:45:18.5936338Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor-triton-cpu* ]]
2025-10-10T00:45:18.5936734Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor-micro-benchmark* ]]
2025-10-10T00:45:18.5937107Z + [[ inductor_torchbench_cpu_smoketest_perf == *huggingface* ]]
2025-10-10T00:45:18.5937420Z + [[ inductor_torchbench_cpu_smoketest_perf == *timm* ]]
2025-10-10T00:45:18.5937713Z + [[ inductor_torchbench_cpu_smoketest_perf == cachebench ]]
2025-10-10T00:45:18.5938045Z + [[ inductor_torchbench_cpu_smoketest_perf == verify_cachebench ]]
2025-10-10T00:45:18.5938372Z + [[ inductor_torchbench_cpu_smoketest_perf == *torchbench* ]]
2025-10-10T00:45:18.5938733Z + install_torchaudio
2025-10-10T00:45:18.5938920Z + local commit
2025-10-10T00:45:18.5939111Z ++ get_pinned_commit audio
2025-10-10T00:45:18.5939329Z ++ cat .github/ci_commit_pins/audio.txt
2025-10-10T00:45:18.5945196Z + commit=87ff22e49ed0e92576c4935ccb8c143daac4a3cd
2025-10-10T00:45:18.5945691Z + pip_build_and_install git+https://github.com/pytorch/audio.git@87ff22e49ed0e92576c4935ccb8c143daac4a3cd dist/audio
2025-10-10T00:45:18.5946255Z + local build_target=git+https://github.com/pytorch/audio.git@87ff22e49ed0e92576c4935ccb8c143daac4a3cd
2025-10-10T00:45:18.5946667Z + local wheel_dir=dist/audio
2025-10-10T00:45:18.5946871Z + local found_whl=0
2025-10-10T00:45:18.5947070Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:45:18.5947393Z + [[ -f dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl ]]
2025-10-10T00:45:18.5947693Z + found_whl=1
2025-10-10T00:45:18.5947861Z + break
2025-10-10T00:45:18.5948018Z + '[' 1 == 0 ']'
2025-10-10T00:45:18.5948211Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:45:18.5948538Z + pip_install_whl dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:45:18.5948975Z + args=('dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl')
2025-10-10T00:45:18.5949275Z + local args
2025-10-10T00:45:18.5949556Z + [[ dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-10-10T00:45:18.5949885Z + for path in "${args[@]}"
2025-10-10T00:45:18.5950207Z + echo 'Installing dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl'
2025-10-10T00:45:18.5950647Z Installing dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:45:18.5951156Z + python3 -mpip install --no-index --no-deps dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:45:18.8603067Z Processing ./dist/audio/torchaudio-2.8.0a0+87ff22e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:45:18.8640031Z Installing collected packages: torchaudio
2025-10-10T00:45:19.4639597Z Successfully installed torchaudio-2.8.0a0+87ff22e
2025-10-10T00:45:19.4961872Z + install_torchvision
2025-10-10T00:45:19.4963319Z + local orig_preload
2025-10-10T00:45:19.4963525Z + local commit
2025-10-10T00:45:19.4963692Z ++ get_pinned_commit vision
2025-10-10T00:45:19.4963897Z ++ cat .github/ci_commit_pins/vision.txt
2025-10-10T00:45:19.5406001Z + commit=966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-10-10T00:45:19.5406316Z + orig_preload=
2025-10-10T00:45:19.5406516Z + '[' -n '' ']'
2025-10-10T00:45:19.5406742Z + [[ linux-jammy-py3.10-gcc11-build == *cuda* ]]
2025-10-10T00:45:19.5407202Z + pip_build_and_install git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66 dist/vision
2025-10-10T00:45:19.5407697Z + local build_target=git+https://github.com/pytorch/vision.git@966da7e46f65d6d49df3e31214470a4fe5cc8e66
2025-10-10T00:45:19.5408026Z + local wheel_dir=dist/vision
2025-10-10T00:45:19.5408199Z + local found_whl=0
2025-10-10T00:45:19.5408377Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:45:19.5408672Z + [[ -f dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl ]]
2025-10-10T00:45:19.5408946Z + found_whl=1
2025-10-10T00:45:19.5409083Z + break
2025-10-10T00:45:19.5409219Z + '[' 1 == 0 ']'
2025-10-10T00:45:19.5409381Z + for file in "${wheel_dir}"/*.whl
2025-10-10T00:45:19.5409916Z + pip_install_whl dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:45:19.5410320Z + args=('dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl')
2025-10-10T00:45:19.5410593Z + local args
2025-10-10T00:45:19.5410845Z + [[ dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl == *\ * ]]
2025-10-10T00:45:19.5411142Z + for path in "${args[@]}"
2025-10-10T00:45:19.5411419Z + echo 'Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl'
2025-10-10T00:45:19.5411812Z Installing dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:45:19.5413311Z + python3 -mpip install --no-index --no-deps dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:45:19.7950613Z Processing ./dist/vision/torchvision-0.22.0a0+966da7e-cp310-cp310-linux_x86_64.whl
2025-10-10T00:45:19.8006800Z Installing collected packages: torchvision
2025-10-10T00:45:20.2442483Z Successfully installed torchvision-0.22.0a0+966da7e
2025-10-10T00:45:20.2761481Z + '[' -n '' ']'
2025-10-10T00:45:20.2761735Z + id=0
2025-10-10T00:45:20.2761956Z + pip_install opencv-python==4.8.0.74
2025-10-10T00:45:20.2762261Z + pip_install_pkg='python3 -m pip install --progress-bar off'
2025-10-10T00:45:20.2762576Z + python3 -m pip install --progress-bar off opencv-python==4.8.0.74
2025-10-10T00:45:20.6774936Z Collecting opencv-python==4.8.0.74
2025-10-10T00:45:20.7180699Z   Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (19 kB)
2025-10-10T00:45:20.8042055Z Requirement already satisfied: numpy>=1.21.2 in /opt/conda/envs/py_3.10/lib/python3.10/site-packages (from opencv-python==4.8.0.74) (1.22.4)
2025-10-10T00:45:20.8343744Z Downloading opencv_python-4.8.0.74-cp37-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (61.7 MB)
2025-10-10T00:45:22.7098083Z Installing collected packages: opencv-python
2025-10-10T00:45:22.7098439Z   Attempting uninstall: opencv-python
2025-10-10T00:45:22.7102828Z     Found existing installation: opencv-python 4.11.0.86
2025-10-10T00:45:22.7151939Z     Uninstalling opencv-python-4.11.0.86:
2025-10-10T00:45:22.7968096Z       Successfully uninstalled opencv-python-4.11.0.86
2025-10-10T00:45:23.5674473Z Successfully installed opencv-python-4.8.0.74
2025-10-10T00:45:23.6650734Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor_torchbench_smoketest_perf* ]]
2025-10-10T00:45:23.6651162Z + [[ inductor_torchbench_cpu_smoketest_perf == *inductor_torchbench_cpu_smoketest_perf* ]]
2025-10-10T00:45:23.6651462Z + PYTHONPATH=/torchbench
2025-10-10T00:45:23.6651674Z + test_inductor_torchbench_cpu_smoketest_perf
2025-10-10T00:45:23.6651919Z ++ pwd
2025-10-10T00:45:23.6652135Z + TEST_REPORTS_DIR=/var/lib/jenkins/workspace/test/test-reports
2025-10-10T00:45:23.6652420Z + mkdir -p /var/lib/jenkins/workspace/test/test-reports
2025-10-10T00:45:23.6665422Z + test_inductor_set_cpu_affinity
2025-10-10T00:45:23.6668059Z ++ find /usr/lib -name libjemalloc.so.2
2025-10-10T00:45:23.6850619Z + JEMALLOC_LIB=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2
2025-10-10T00:45:23.6850910Z + export LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-10-10T00:45:23.6851264Z + LD_PRELOAD=/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-10-10T00:45:23.6851663Z + export MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1
2025-10-10T00:45:23.6852200Z + MALLOC_CONF=oversize_threshold:1,background_thread:true,metadata_thp:auto,dirty_decay_ms:-1,muzzy_decay_ms:-1
2025-10-10T00:45:23.6852579Z + [[ inductor_torchbench_cpu_smoketest_perf != *aarch64* ]]
2025-10-10T00:45:23.6853521Z +++ which python
2025-10-10T00:45:23.6869757Z ++ dirname /opt/conda/envs/py_3.10/bin/python
2025-10-10T00:45:23.6896545Z + IOMP_LIB=/opt/conda/envs/py_3.10/bin/../lib/libiomp5.so
2025-10-10T00:45:23.6896956Z + export LD_PRELOAD=/opt/conda/envs/py_3.10/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-10-10T00:45:23.6897722Z + LD_PRELOAD=/opt/conda/envs/py_3.10/bin/../lib/libiomp5.so:/usr/lib/x86_64-linux-gnu/libjemalloc.so.2:
2025-10-10T00:45:23.6898086Z + export KMP_AFFINITY=granularity=fine,compact,1,0
2025-10-10T00:45:23.6898379Z + KMP_AFFINITY=granularity=fine,compact,1,0
2025-10-10T00:45:23.6898607Z + export KMP_BLOCKTIME=1
2025-10-10T00:45:23.6898790Z + KMP_BLOCKTIME=1
2025-10-10T00:45:23.6901570Z ++ nproc
2025-10-10T00:45:23.6917865Z + cpus=96
2025-10-10T00:45:23.6923047Z ++ lscpu
2025-10-10T00:45:23.6925006Z ++ grep 'Thread(s) per core:'
2025-10-10T00:45:23.6925801Z ++ awk '{print $4}'
2025-10-10T00:45:23.7187701Z + thread_per_core=2
2025-10-10T00:45:23.7190140Z + cores=48
2025-10-10T00:45:23.7190711Z + [[ inductor_torchbench_cpu_smoketest_perf == *aarch64* ]]
2025-10-10T00:45:23.7190959Z + export OMP_NUM_THREADS=48
2025-10-10T00:45:23.7191147Z + OMP_NUM_THREADS=48
2025-10-10T00:45:23.7191388Z ++ python -c 'import os; print(min(os.sched_getaffinity(0)))'
2025-10-10T00:45:23.7390105Z + start_cpu=0
2025-10-10T00:45:23.7390447Z ++ python -c 'import os; print(max(os.sched_getaffinity(0)))'
2025-10-10T00:45:23.7588243Z + end_cpu=93
2025-10-10T00:45:23.7588527Z + export 'TASKSET=taskset -c 0-93'
2025-10-10T00:45:23.7588793Z + TASKSET='taskset -c 0-93'
2025-10-10T00:45:23.7589136Z + MODELS_SPEEDUP_TARGET=benchmarks/dynamo/expected_ci_speedup_inductor_torchbench_cpu.csv
2025-10-10T00:45:23.7589436Z + grep -v '^ *#'
2025-10-10T00:45:23.7589591Z + IFS=,
2025-10-10T00:45:23.7589740Z + read -r -a model_cfg
2025-10-10T00:45:23.7611615Z + local model_name=phlippe_densenet
2025-10-10T00:45:23.7611815Z + local data_type=float32
2025-10-10T00:45:23.7612015Z + local speedup_target=1.46474287
2025-10-10T00:45:23.7612230Z + local backend=inductor
2025-10-10T00:45:23.7612410Z + [[ default == \c\p\p ]]
2025-10-10T00:45:23.7612583Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-10-10T00:45:23.7613031Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv
2025-10-10T00:45:23.7613463Z + [[ static == \d\y\n\a\m\i\c ]]
2025-10-10T00:45:23.7614227Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only phlippe_densenet --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv
2025-10-10T00:45:24.1030035Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:45:24.1031471Z   import pynvml  # type: ignore[import]
2025-10-10T00:45:25.8516657Z 
2025-10-10T00:45:26.0667719Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:45:26.0668010Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:45:26.0669392Z cpu  eval  phlippe_densenet                   
2025-10-10T00:45:32.7848867Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.7849257Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7849722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7850148Z     return mod(*inputs)
2025-10-10T00:45:32.7850439Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 165, in forward
2025-10-10T00:45:32.7850822Z     x = self.input_net(x)
2025-10-10T00:45:32.7850937Z 
2025-10-10T00:45:32.7851039Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7851391Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7851711Z     return mod(*inputs)
2025-10-10T00:45:32.7851986Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 165, in forward
2025-10-10T00:45:32.7852314Z     x = self.input_net(x)
2025-10-10T00:45:32.7852462Z 
2025-10-10T00:45:32.7852596Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7853292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7853670Z     return mod(*inputs)
2025-10-10T00:45:32.7853982Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7854498Z     x = self.blocks(x)
2025-10-10T00:45:32.7854829Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7855179Z     out = self.block(x)
2025-10-10T00:45:32.7855478Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7855939Z     out = self.net(x)
2025-10-10T00:45:32.7856039Z 
2025-10-10T00:45:32.7856136Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7856557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7856939Z     return mod(*inputs)
2025-10-10T00:45:32.7857246Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7857648Z     x = self.blocks(x)
2025-10-10T00:45:32.7857968Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7858314Z     out = self.block(x)
2025-10-10T00:45:32.7858627Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7858997Z     out = self.net(x)
2025-10-10T00:45:32.7859096Z 
2025-10-10T00:45:32.7859197Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7859627Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7859971Z     return mod(*inputs)
2025-10-10T00:45:32.7860254Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7860604Z     x = self.blocks(x)
2025-10-10T00:45:32.7860914Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7861258Z     out = self.block(x)
2025-10-10T00:45:32.7861574Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7861916Z     out = self.net(x)
2025-10-10T00:45:32.7862023Z 
2025-10-10T00:45:32.7862157Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7862546Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7862896Z     return mod(*inputs)
2025-10-10T00:45:32.7863185Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7863533Z     x = self.blocks(x)
2025-10-10T00:45:32.7863899Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7864204Z     out = self.block(x)
2025-10-10T00:45:32.7864511Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7864921Z     out = self.net(x)
2025-10-10T00:45:32.7865061Z 
2025-10-10T00:45:32.7865151Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.7865439Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7865835Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7866198Z     return mod(*inputs)
2025-10-10T00:45:32.7866527Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7866869Z     x = self.blocks(x)
2025-10-10T00:45:32.7867255Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7867649Z     out = self.block(x)
2025-10-10T00:45:32.7868010Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.7868329Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.7868473Z 
2025-10-10T00:45:32.7868654Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7869063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7869429Z     return mod(*inputs)
2025-10-10T00:45:32.7869753Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7870035Z     x = self.blocks(x)
2025-10-10T00:45:32.7870304Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7870591Z     out = self.block(x)
2025-10-10T00:45:32.7870854Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7871183Z     out = self.net(x)
2025-10-10T00:45:32.7871281Z 
2025-10-10T00:45:32.7871375Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7871711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7872014Z     return mod(*inputs)
2025-10-10T00:45:32.7872284Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7872565Z     x = self.blocks(x)
2025-10-10T00:45:32.7872828Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7873117Z     out = self.block(x)
2025-10-10T00:45:32.7873384Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7873663Z     out = self.net(x)
2025-10-10T00:45:32.7873764Z 
2025-10-10T00:45:32.7873858Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7874191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7874491Z     return mod(*inputs)
2025-10-10T00:45:32.7874751Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7875037Z     x = self.blocks(x)
2025-10-10T00:45:32.7875309Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7875598Z     out = self.block(x)
2025-10-10T00:45:32.7875865Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7876144Z     out = self.net(x)
2025-10-10T00:45:32.7876242Z 
2025-10-10T00:45:32.7876335Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7876673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7876969Z     return mod(*inputs)
2025-10-10T00:45:32.7877239Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7877530Z     x = self.blocks(x)
2025-10-10T00:45:32.7877795Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7878082Z     out = self.block(x)
2025-10-10T00:45:32.7878351Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7878631Z     out = self.net(x)
2025-10-10T00:45:32.7878727Z 
2025-10-10T00:45:32.7878804Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.7879028Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7879358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7879651Z     return mod(*inputs)
2025-10-10T00:45:32.7879923Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7880211Z     x = self.blocks(x)
2025-10-10T00:45:32.7880479Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7880759Z     out = self.block(x)
2025-10-10T00:45:32.7881023Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.7881318Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.7881474Z 
2025-10-10T00:45:32.7881581Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7881908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7882199Z     return mod(*inputs)
2025-10-10T00:45:32.7882462Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7882744Z     x = self.blocks(x)
2025-10-10T00:45:32.7883008Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7883283Z     out = self.block(x)
2025-10-10T00:45:32.7883589Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7883873Z     out = self.net(x)
2025-10-10T00:45:32.7883962Z 
2025-10-10T00:45:32.7884063Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7884394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7884685Z     return mod(*inputs)
2025-10-10T00:45:32.7884950Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7885235Z     x = self.blocks(x)
2025-10-10T00:45:32.7885495Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7885770Z     out = self.block(x)
2025-10-10T00:45:32.7886030Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7886310Z     out = self.net(x)
2025-10-10T00:45:32.7886402Z 
2025-10-10T00:45:32.7886505Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7886830Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7887124Z     return mod(*inputs)
2025-10-10T00:45:32.7887390Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7887683Z     x = self.blocks(x)
2025-10-10T00:45:32.7887944Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7888224Z     out = self.block(x)
2025-10-10T00:45:32.7888486Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7888772Z     out = self.net(x)
2025-10-10T00:45:32.7888860Z 
2025-10-10T00:45:32.7888961Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7889285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7889591Z     return mod(*inputs)
2025-10-10T00:45:32.7889860Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7890143Z     x = self.blocks(x)
2025-10-10T00:45:32.7890399Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7890685Z     out = self.block(x)
2025-10-10T00:45:32.7890949Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7891230Z     out = self.net(x)
2025-10-10T00:45:32.7891320Z 
2025-10-10T00:45:32.7891403Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.7891618Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7891950Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7892249Z     return mod(*inputs)
2025-10-10T00:45:32.7892517Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7892801Z     x = self.blocks(x)
2025-10-10T00:45:32.7893067Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7893376Z     out = self.block(x)
2025-10-10T00:45:32.7893634Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.7894030Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.7894163Z 
2025-10-10T00:45:32.7894260Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7894589Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7894885Z     return mod(*inputs)
2025-10-10T00:45:32.7895160Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7895450Z     x = self.blocks(x)
2025-10-10T00:45:32.7895718Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7896047Z     out = self.block(x)
2025-10-10T00:45:32.7896309Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7896600Z     out = self.net(x)
2025-10-10T00:45:32.7896692Z 
2025-10-10T00:45:32.7896794Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7897133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7897423Z     return mod(*inputs)
2025-10-10T00:45:32.7897693Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7897977Z     x = self.blocks(x)
2025-10-10T00:45:32.7898501Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7898789Z     out = self.block(x)
2025-10-10T00:45:32.7899047Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7899332Z     out = self.net(x)
2025-10-10T00:45:32.7899420Z 
2025-10-10T00:45:32.7899524Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7899852Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7900143Z     return mod(*inputs)
2025-10-10T00:45:32.7900413Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7900700Z     x = self.blocks(x)
2025-10-10T00:45:32.7900962Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7901238Z     out = self.block(x)
2025-10-10T00:45:32.7901501Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7901779Z     out = self.net(x)
2025-10-10T00:45:32.7901867Z 
2025-10-10T00:45:32.7901967Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7902295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7902589Z     return mod(*inputs)
2025-10-10T00:45:32.7902862Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7903147Z     x = self.blocks(x)
2025-10-10T00:45:32.7903409Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7903691Z     out = self.block(x)
2025-10-10T00:45:32.7903954Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7904236Z     out = self.net(x)
2025-10-10T00:45:32.7904326Z 
2025-10-10T00:45:32.7904411Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.7904627Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7904956Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7905256Z     return mod(*inputs)
2025-10-10T00:45:32.7905532Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7905818Z     x = self.blocks(x)
2025-10-10T00:45:32.7906076Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7906363Z     out = self.block(x)
2025-10-10T00:45:32.7906694Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.7906994Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.7907118Z 
2025-10-10T00:45:32.7907213Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7907553Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7907854Z     return mod(*inputs)
2025-10-10T00:45:32.7908124Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7908414Z     x = self.blocks(x)
2025-10-10T00:45:32.7908674Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7909010Z     out = self.block(x)
2025-10-10T00:45:32.7909275Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7909563Z     out = self.net(x)
2025-10-10T00:45:32.7909655Z 
2025-10-10T00:45:32.7909749Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7910087Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7910381Z     return mod(*inputs)
2025-10-10T00:45:32.7910647Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7910927Z     x = self.blocks(x)
2025-10-10T00:45:32.7911187Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7911469Z     out = self.block(x)
2025-10-10T00:45:32.7911734Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7912016Z     out = self.net(x)
2025-10-10T00:45:32.7912105Z 
2025-10-10T00:45:32.7912199Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7912528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7912825Z     return mod(*inputs)
2025-10-10T00:45:32.7913093Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7913374Z     x = self.blocks(x)
2025-10-10T00:45:32.7913636Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7913918Z     out = self.block(x)
2025-10-10T00:45:32.7914183Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7914458Z     out = self.net(x)
2025-10-10T00:45:32.7914557Z 
2025-10-10T00:45:32.7914649Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7914982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7915279Z     return mod(*inputs)
2025-10-10T00:45:32.7915545Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7915824Z     x = self.blocks(x)
2025-10-10T00:45:32.7916090Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7916373Z     out = self.block(x)
2025-10-10T00:45:32.7916640Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7916918Z     out = self.net(x)
2025-10-10T00:45:32.7917016Z 
2025-10-10T00:45:32.7917094Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.7917314Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7917640Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7917947Z     return mod(*inputs)
2025-10-10T00:45:32.7918206Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7918493Z     x = self.blocks(x)
2025-10-10T00:45:32.7918760Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7919050Z     out = self.block(x)
2025-10-10T00:45:32.7919340Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.7919643Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.7919767Z 
2025-10-10T00:45:32.7919865Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7920198Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7920499Z     return mod(*inputs)
2025-10-10T00:45:32.7920760Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7921045Z     x = self.blocks(x)
2025-10-10T00:45:32.7921343Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7921625Z     out = self.block(x)
2025-10-10T00:45:32.7921880Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7922164Z     out = self.net(x)
2025-10-10T00:45:32.7922261Z 
2025-10-10T00:45:32.7922358Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7922689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7922978Z     return mod(*inputs)
2025-10-10T00:45:32.7923246Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7923527Z     x = self.blocks(x)
2025-10-10T00:45:32.7923789Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7924073Z     out = self.block(x)
2025-10-10T00:45:32.7924329Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7924611Z     out = self.net(x)
2025-10-10T00:45:32.7924701Z 
2025-10-10T00:45:32.7924800Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7925126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7925418Z     return mod(*inputs)
2025-10-10T00:45:32.7925686Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7925970Z     x = self.blocks(x)
2025-10-10T00:45:32.7926234Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7926509Z     out = self.block(x)
2025-10-10T00:45:32.7926770Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7927054Z     out = self.net(x)
2025-10-10T00:45:32.7927143Z 
2025-10-10T00:45:32.7927246Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7927576Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7927864Z     return mod(*inputs)
2025-10-10T00:45:32.7928134Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7928419Z     x = self.blocks(x)
2025-10-10T00:45:32.7928687Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7928963Z     out = self.block(x)
2025-10-10T00:45:32.7929225Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7929512Z     out = self.net(x)
2025-10-10T00:45:32.7929601Z 
2025-10-10T00:45:32.7929686Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.7929909Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7930231Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7930535Z     return mod(*inputs)
2025-10-10T00:45:32.7930806Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7931093Z     x = self.blocks(x)
2025-10-10T00:45:32.7931347Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7933216Z     out = self.block(x)
2025-10-10T00:45:32.7933534Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.7933833Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.7933954Z 
2025-10-10T00:45:32.7934052Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7934388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7934703Z     return mod(*inputs)
2025-10-10T00:45:32.7934979Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7935324Z     x = self.blocks(x)
2025-10-10T00:45:32.7935583Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-10-10T00:45:32.7935886Z     return self.transition(x)
2025-10-10T00:45:32.7935998Z 
2025-10-10T00:45:32.7936100Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7936440Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7936731Z     return mod(*inputs)
2025-10-10T00:45:32.7937007Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7937297Z     x = self.blocks(x)
2025-10-10T00:45:32.7937567Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-10-10T00:45:32.7937861Z     return self.transition(x)
2025-10-10T00:45:32.7937971Z 
2025-10-10T00:45:32.7938067Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7938407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7938709Z     return mod(*inputs)
2025-10-10T00:45:32.7938981Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7939261Z     x = self.blocks(x)
2025-10-10T00:45:32.7939529Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-10-10T00:45:32.7939820Z     return self.transition(x)
2025-10-10T00:45:32.7939929Z 
2025-10-10T00:45:32.7940035Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7940357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7940656Z     return mod(*inputs)
2025-10-10T00:45:32.7940922Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7941207Z     x = self.blocks(x)
2025-10-10T00:45:32.7941469Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7941749Z     out = self.block(x)
2025-10-10T00:45:32.7942014Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7942301Z     out = self.net(x)
2025-10-10T00:45:32.7942393Z 
2025-10-10T00:45:32.7942496Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7942820Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7943119Z     return mod(*inputs)
2025-10-10T00:45:32.7943390Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7943681Z     x = self.blocks(x)
2025-10-10T00:45:32.7943948Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7944230Z     out = self.block(x)
2025-10-10T00:45:32.7944499Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7944790Z     out = self.net(x)
2025-10-10T00:45:32.7944881Z 
2025-10-10T00:45:32.7944982Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7945309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7945612Z     return mod(*inputs)
2025-10-10T00:45:32.7945929Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7946226Z     x = self.blocks(x)
2025-10-10T00:45:32.7946485Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7946774Z     out = self.block(x)
2025-10-10T00:45:32.7947040Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7947324Z     out = self.net(x)
2025-10-10T00:45:32.7947415Z 
2025-10-10T00:45:32.7947516Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7947891Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7948190Z     return mod(*inputs)
2025-10-10T00:45:32.7948458Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7948747Z     x = self.blocks(x)
2025-10-10T00:45:32.7949006Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7949295Z     out = self.block(x)
2025-10-10T00:45:32.7949562Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7949846Z     out = self.net(x)
2025-10-10T00:45:32.7949935Z 
2025-10-10T00:45:32.7950019Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.7950236Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7950566Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7950870Z     return mod(*inputs)
2025-10-10T00:45:32.7951138Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7951418Z     x = self.blocks(x)
2025-10-10T00:45:32.7951688Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7951971Z     out = self.block(x)
2025-10-10T00:45:32.7952235Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.7952522Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.7952645Z 
2025-10-10T00:45:32.7952739Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7953071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7953369Z     return mod(*inputs)
2025-10-10T00:45:32.7953634Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7953916Z     x = self.blocks(x)
2025-10-10T00:45:32.7954187Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7954478Z     out = self.block(x)
2025-10-10T00:45:32.7954740Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7955021Z     out = self.net(x)
2025-10-10T00:45:32.7955122Z 
2025-10-10T00:45:32.7955218Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7955548Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7955852Z     return mod(*inputs)
2025-10-10T00:45:32.7956112Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7956400Z     x = self.blocks(x)
2025-10-10T00:45:32.7956665Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7956952Z     out = self.block(x)
2025-10-10T00:45:32.7957220Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7957500Z     out = self.net(x)
2025-10-10T00:45:32.7957598Z 
2025-10-10T00:45:32.7957690Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7958025Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7958355Z     return mod(*inputs)
2025-10-10T00:45:32.7958620Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7958909Z     x = self.blocks(x)
2025-10-10T00:45:32.7959172Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7959455Z     out = self.block(x)
2025-10-10T00:45:32.7959719Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7959995Z     out = self.net(x)
2025-10-10T00:45:32.7960093Z 
2025-10-10T00:45:32.7960221Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7960558Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7960861Z     return mod(*inputs)
2025-10-10T00:45:32.7961126Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7961419Z     x = self.blocks(x)
2025-10-10T00:45:32.7961693Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7961983Z     out = self.block(x)
2025-10-10T00:45:32.7962246Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7962534Z     out = self.net(x)
2025-10-10T00:45:32.7962635Z 
2025-10-10T00:45:32.7962716Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.7962945Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7963281Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7963578Z     return mod(*inputs)
2025-10-10T00:45:32.7963851Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7964142Z     x = self.blocks(x)
2025-10-10T00:45:32.7964411Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7964696Z     out = self.block(x)
2025-10-10T00:45:32.7964966Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.7965264Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.7965384Z 
2025-10-10T00:45:32.7965494Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7965826Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7966119Z     return mod(*inputs)
2025-10-10T00:45:32.7966390Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7966689Z     x = self.blocks(x)
2025-10-10T00:45:32.7966957Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7967240Z     out = self.block(x)
2025-10-10T00:45:32.7967508Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7967797Z     out = self.net(x)
2025-10-10T00:45:32.7967891Z 
2025-10-10T00:45:32.7967995Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7968323Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7968627Z     return mod(*inputs)
2025-10-10T00:45:32.7968903Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7969195Z     x = self.blocks(x)
2025-10-10T00:45:32.7969465Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7969757Z     out = self.block(x)
2025-10-10T00:45:32.7970029Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7970316Z     out = self.net(x)
2025-10-10T00:45:32.7970408Z 
2025-10-10T00:45:32.7970515Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7970872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7971176Z     return mod(*inputs)
2025-10-10T00:45:32.7971449Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7971736Z     x = self.blocks(x)
2025-10-10T00:45:32.7971992Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7972279Z     out = self.block(x)
2025-10-10T00:45:32.7972544Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7972827Z     out = self.net(x)
2025-10-10T00:45:32.7972953Z 
2025-10-10T00:45:32.7973057Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7973379Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7973677Z     return mod(*inputs)
2025-10-10T00:45:32.7973943Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7974233Z     x = self.blocks(x)
2025-10-10T00:45:32.7974489Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7974772Z     out = self.block(x)
2025-10-10T00:45:32.7975038Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7975320Z     out = self.net(x)
2025-10-10T00:45:32.7975408Z 
2025-10-10T00:45:32.7975495Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.7975709Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7976040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7976336Z     return mod(*inputs)
2025-10-10T00:45:32.7976600Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7976878Z     x = self.blocks(x)
2025-10-10T00:45:32.7977144Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7977425Z     out = self.block(x)
2025-10-10T00:45:32.7977685Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.7977969Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.7978090Z 
2025-10-10T00:45:32.7978186Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7978513Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7978809Z     return mod(*inputs)
2025-10-10T00:45:32.7979071Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7979353Z     x = self.blocks(x)
2025-10-10T00:45:32.7979615Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7979895Z     out = self.block(x)
2025-10-10T00:45:32.7980158Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7980433Z     out = self.net(x)
2025-10-10T00:45:32.7980533Z 
2025-10-10T00:45:32.7980625Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7980955Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7981250Z     return mod(*inputs)
2025-10-10T00:45:32.7981516Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7981795Z     x = self.blocks(x)
2025-10-10T00:45:32.7982059Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7982349Z     out = self.block(x)
2025-10-10T00:45:32.7982613Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7982887Z     out = self.net(x)
2025-10-10T00:45:32.7982983Z 
2025-10-10T00:45:32.7983075Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7983436Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7983744Z     return mod(*inputs)
2025-10-10T00:45:32.7984009Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7984302Z     x = self.blocks(x)
2025-10-10T00:45:32.7984565Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7984850Z     out = self.block(x)
2025-10-10T00:45:32.7985115Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7985441Z     out = self.net(x)
2025-10-10T00:45:32.7985541Z 
2025-10-10T00:45:32.7985637Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7985970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7986275Z     return mod(*inputs)
2025-10-10T00:45:32.7986539Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7986829Z     x = self.blocks(x)
2025-10-10T00:45:32.7987095Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7987384Z     out = self.block(x)
2025-10-10T00:45:32.7987640Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7987924Z     out = self.net(x)
2025-10-10T00:45:32.7988019Z 
2025-10-10T00:45:32.7988098Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.7988323Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7988658Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7988951Z     return mod(*inputs)
2025-10-10T00:45:32.7989219Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7989504Z     x = self.blocks(x)
2025-10-10T00:45:32.7989768Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7990045Z     out = self.block(x)
2025-10-10T00:45:32.7990306Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.7990594Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.7990711Z 
2025-10-10T00:45:32.7990813Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7991141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7991433Z     return mod(*inputs)
2025-10-10T00:45:32.7991700Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7991985Z     x = self.blocks(x)
2025-10-10T00:45:32.7992248Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7992523Z     out = self.block(x)
2025-10-10T00:45:32.7992791Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7993073Z     out = self.net(x)
2025-10-10T00:45:32.7993161Z 
2025-10-10T00:45:32.7993261Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7993585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7993883Z     return mod(*inputs)
2025-10-10T00:45:32.7994150Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7994435Z     x = self.blocks(x)
2025-10-10T00:45:32.7994703Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7994980Z     out = self.block(x)
2025-10-10T00:45:32.7995245Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7995526Z     out = self.net(x)
2025-10-10T00:45:32.7995616Z 
2025-10-10T00:45:32.7995750Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7996074Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7996377Z     return mod(*inputs)
2025-10-10T00:45:32.7996652Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7996948Z     x = self.blocks(x)
2025-10-10T00:45:32.7997212Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.7997490Z     out = self.block(x)
2025-10-10T00:45:32.7997753Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.7998096Z     out = self.net(x)
2025-10-10T00:45:32.7998232Z 
2025-10-10T00:45:32.7998351Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.7998680Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.7998983Z     return mod(*inputs)
2025-10-10T00:45:32.7999256Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.7999543Z     x = self.blocks(x)
2025-10-10T00:45:32.7999800Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8000086Z     out = self.block(x)
2025-10-10T00:45:32.8000353Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8000639Z     out = self.net(x)
2025-10-10T00:45:32.8000729Z 
2025-10-10T00:45:32.8000811Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8001029Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8001357Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8001654Z     return mod(*inputs)
2025-10-10T00:45:32.8001918Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8002198Z     x = self.blocks(x)
2025-10-10T00:45:32.8002461Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8002747Z     out = self.block(x)
2025-10-10T00:45:32.8003012Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8003298Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8003422Z 
2025-10-10T00:45:32.8003517Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8003846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8004147Z     return mod(*inputs)
2025-10-10T00:45:32.8004413Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8004692Z     x = self.blocks(x)
2025-10-10T00:45:32.8004954Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8005242Z     out = self.block(x)
2025-10-10T00:45:32.8005509Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8005787Z     out = self.net(x)
2025-10-10T00:45:32.8005885Z 
2025-10-10T00:45:32.8005980Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8006309Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8006609Z     return mod(*inputs)
2025-10-10T00:45:32.8006877Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8007159Z     x = self.blocks(x)
2025-10-10T00:45:32.8007420Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8007709Z     out = self.block(x)
2025-10-10T00:45:32.8007971Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8008246Z     out = self.net(x)
2025-10-10T00:45:32.8008345Z 
2025-10-10T00:45:32.8008622Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8008959Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8009256Z     return mod(*inputs)
2025-10-10T00:45:32.8009529Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8009810Z     x = self.blocks(x)
2025-10-10T00:45:32.8010080Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8010371Z     out = self.block(x)
2025-10-10T00:45:32.8010690Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8010965Z     out = self.net(x)
2025-10-10T00:45:32.8011064Z 
2025-10-10T00:45:32.8011159Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8011494Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8011797Z     return mod(*inputs)
2025-10-10T00:45:32.8012057Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8012350Z     x = self.blocks(x)
2025-10-10T00:45:32.8012621Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8012909Z     out = self.block(x)
2025-10-10T00:45:32.8013177Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8013452Z     out = self.net(x)
2025-10-10T00:45:32.8013551Z 
2025-10-10T00:45:32.8013629Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8013852Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8014181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8014472Z     return mod(*inputs)
2025-10-10T00:45:32.8014746Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8015031Z     x = self.blocks(x)
2025-10-10T00:45:32.8015295Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8015580Z     out = self.block(x)
2025-10-10T00:45:32.8015834Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8016124Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8016244Z 
2025-10-10T00:45:32.8016348Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8016679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8016973Z     return mod(*inputs)
2025-10-10T00:45:32.8017246Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8017532Z     x = self.blocks(x)
2025-10-10T00:45:32.8017798Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-10-10T00:45:32.8018083Z     return self.transition(x)
2025-10-10T00:45:32.8018202Z 
2025-10-10T00:45:32.8018295Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8018626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8018923Z     return mod(*inputs)
2025-10-10T00:45:32.8019192Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8019471Z     x = self.blocks(x)
2025-10-10T00:45:32.8019737Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-10-10T00:45:32.8020035Z     return self.transition(x)
2025-10-10T00:45:32.8020143Z 
2025-10-10T00:45:32.8020247Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8020570Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8020868Z     return mod(*inputs)
2025-10-10T00:45:32.8021168Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8021460Z     x = self.blocks(x)
2025-10-10T00:45:32.8021724Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-10-10T00:45:32.8022012Z     return self.transition(x)
2025-10-10T00:45:32.8022130Z 
2025-10-10T00:45:32.8022224Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8022555Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8022854Z     return mod(*inputs)
2025-10-10T00:45:32.8023149Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8023433Z     x = self.blocks(x)
2025-10-10T00:45:32.8023695Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8023981Z     out = self.block(x)
2025-10-10T00:45:32.8024236Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8024520Z     out = self.net(x)
2025-10-10T00:45:32.8024618Z 
2025-10-10T00:45:32.8024711Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8025044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8025343Z     return mod(*inputs)
2025-10-10T00:45:32.8025603Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8025889Z     x = self.blocks(x)
2025-10-10T00:45:32.8026154Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8026440Z     out = self.block(x)
2025-10-10T00:45:32.8026695Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8026979Z     out = self.net(x)
2025-10-10T00:45:32.8027076Z 
2025-10-10T00:45:32.8027169Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8027502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8027799Z     return mod(*inputs)
2025-10-10T00:45:32.8028054Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8028339Z     x = self.blocks(x)
2025-10-10T00:45:32.8028599Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8028880Z     out = self.block(x)
2025-10-10T00:45:32.8029137Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8029420Z     out = self.net(x)
2025-10-10T00:45:32.8029514Z 
2025-10-10T00:45:32.8029606Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8029930Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8030222Z     return mod(*inputs)
2025-10-10T00:45:32.8030486Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8030774Z     x = self.blocks(x)
2025-10-10T00:45:32.8031034Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8031320Z     out = self.block(x)
2025-10-10T00:45:32.8031576Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8031859Z     out = self.net(x)
2025-10-10T00:45:32.8031955Z 
2025-10-10T00:45:32.8032030Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8032256Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8032581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8032877Z     return mod(*inputs)
2025-10-10T00:45:32.8033145Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8033459Z     x = self.blocks(x)
2025-10-10T00:45:32.8033721Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8034005Z     out = self.block(x)
2025-10-10T00:45:32.8034270Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8034560Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8034675Z 
2025-10-10T00:45:32.8034777Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8035095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8035446Z     return mod(*inputs)
2025-10-10T00:45:32.8035713Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8036000Z     x = self.blocks(x)
2025-10-10T00:45:32.8036256Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8036542Z     out = self.block(x)
2025-10-10T00:45:32.8036807Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8037095Z     out = self.net(x)
2025-10-10T00:45:32.8037186Z 
2025-10-10T00:45:32.8037289Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8037613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8037911Z     return mod(*inputs)
2025-10-10T00:45:32.8038182Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8038473Z     x = self.blocks(x)
2025-10-10T00:45:32.8038726Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8039012Z     out = self.block(x)
2025-10-10T00:45:32.8039279Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8039564Z     out = self.net(x)
2025-10-10T00:45:32.8039654Z 
2025-10-10T00:45:32.8039754Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8040080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8040380Z     return mod(*inputs)
2025-10-10T00:45:32.8040650Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8040937Z     x = self.blocks(x)
2025-10-10T00:45:32.8041188Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8041473Z     out = self.block(x)
2025-10-10T00:45:32.8041739Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8042018Z     out = self.net(x)
2025-10-10T00:45:32.8042107Z 
2025-10-10T00:45:32.8042200Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8042532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8042829Z     return mod(*inputs)
2025-10-10T00:45:32.8043094Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8043381Z     x = self.blocks(x)
2025-10-10T00:45:32.8043636Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8043920Z     out = self.block(x)
2025-10-10T00:45:32.8044183Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8044468Z     out = self.net(x)
2025-10-10T00:45:32.8044559Z 
2025-10-10T00:45:32.8044639Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8044863Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8045196Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8045497Z     return mod(*inputs)
2025-10-10T00:45:32.8045788Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8046081Z     x = self.blocks(x)
2025-10-10T00:45:32.8046351Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8046639Z     out = self.block(x)
2025-10-10T00:45:32.8046904Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8047197Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8047323Z 
2025-10-10T00:45:32.8047418Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8047762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8048103Z     return mod(*inputs)
2025-10-10T00:45:32.8048360Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8048646Z     x = self.blocks(x)
2025-10-10T00:45:32.8048913Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8049198Z     out = self.block(x)
2025-10-10T00:45:32.8049462Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8049737Z     out = self.net(x)
2025-10-10T00:45:32.8049836Z 
2025-10-10T00:45:32.8049930Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8050264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8050558Z     return mod(*inputs)
2025-10-10T00:45:32.8050814Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8051106Z     x = self.blocks(x)
2025-10-10T00:45:32.8051366Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8051648Z     out = self.block(x)
2025-10-10T00:45:32.8051902Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8052187Z     out = self.net(x)
2025-10-10T00:45:32.8052284Z 
2025-10-10T00:45:32.8052376Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8052705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8053002Z     return mod(*inputs)
2025-10-10T00:45:32.8053261Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8053549Z     x = self.blocks(x)
2025-10-10T00:45:32.8053810Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8054094Z     out = self.block(x)
2025-10-10T00:45:32.8054347Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8054632Z     out = self.net(x)
2025-10-10T00:45:32.8054727Z 
2025-10-10T00:45:32.8054819Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8055153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8055453Z     return mod(*inputs)
2025-10-10T00:45:32.8055714Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8056001Z     x = self.blocks(x)
2025-10-10T00:45:32.8056267Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8056552Z     out = self.block(x)
2025-10-10T00:45:32.8056808Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8057095Z     out = self.net(x)
2025-10-10T00:45:32.8057192Z 
2025-10-10T00:45:32.8057267Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8057488Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8057814Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8058111Z     return mod(*inputs)
2025-10-10T00:45:32.8058415Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8058703Z     x = self.blocks(x)
2025-10-10T00:45:32.8058971Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8059259Z     out = self.block(x)
2025-10-10T00:45:32.8059519Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8059814Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8059932Z 
2025-10-10T00:45:32.8060034Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8060392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8060694Z     return mod(*inputs)
2025-10-10T00:45:32.8060964Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8061252Z     x = self.blocks(x)
2025-10-10T00:45:32.8061511Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8061802Z     out = self.block(x)
2025-10-10T00:45:32.8062067Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8062353Z     out = self.net(x)
2025-10-10T00:45:32.8062445Z 
2025-10-10T00:45:32.8062547Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8062872Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8063173Z     return mod(*inputs)
2025-10-10T00:45:32.8063446Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8063736Z     x = self.blocks(x)
2025-10-10T00:45:32.8063993Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8064277Z     out = self.block(x)
2025-10-10T00:45:32.8064543Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8064828Z     out = self.net(x)
2025-10-10T00:45:32.8064918Z 
2025-10-10T00:45:32.8065017Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8065344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8065643Z     return mod(*inputs)
2025-10-10T00:45:32.8065910Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8066192Z     x = self.blocks(x)
2025-10-10T00:45:32.8066446Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8066733Z     out = self.block(x)
2025-10-10T00:45:32.8066998Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8067281Z     out = self.net(x)
2025-10-10T00:45:32.8067369Z 
2025-10-10T00:45:32.8067462Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8067795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8068092Z     return mod(*inputs)
2025-10-10T00:45:32.8068357Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8068646Z     x = self.blocks(x)
2025-10-10T00:45:32.8068900Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8069183Z     out = self.block(x)
2025-10-10T00:45:32.8069445Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8069728Z     out = self.net(x)
2025-10-10T00:45:32.8069817Z 
2025-10-10T00:45:32.8069894Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8070115Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8070442Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8070771Z     return mod(*inputs)
2025-10-10T00:45:32.8071032Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8071322Z     x = self.blocks(x)
2025-10-10T00:45:32.8071590Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8071874Z     out = self.block(x)
2025-10-10T00:45:32.8072142Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8072435Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8072559Z 
2025-10-10T00:45:32.8072687Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8073018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8073316Z     return mod(*inputs)
2025-10-10T00:45:32.8073573Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8073862Z     x = self.blocks(x)
2025-10-10T00:45:32.8074127Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8074410Z     out = self.block(x)
2025-10-10T00:45:32.8074674Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8074956Z     out = self.net(x)
2025-10-10T00:45:32.8075055Z 
2025-10-10T00:45:32.8075151Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8075490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8075793Z     return mod(*inputs)
2025-10-10T00:45:32.8076055Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8076344Z     x = self.blocks(x)
2025-10-10T00:45:32.8076607Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8076887Z     out = self.block(x)
2025-10-10T00:45:32.8077146Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8077431Z     out = self.net(x)
2025-10-10T00:45:32.8077529Z 
2025-10-10T00:45:32.8077626Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8077958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8078255Z     return mod(*inputs)
2025-10-10T00:45:32.8078517Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8078803Z     x = self.blocks(x)
2025-10-10T00:45:32.8079071Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8079356Z     out = self.block(x)
2025-10-10T00:45:32.8079616Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8079899Z     out = self.net(x)
2025-10-10T00:45:32.8079998Z 
2025-10-10T00:45:32.8080095Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8080428Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8080723Z     return mod(*inputs)
2025-10-10T00:45:32.8080984Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8081270Z     x = self.blocks(x)
2025-10-10T00:45:32.8081536Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8081821Z     out = self.block(x)
2025-10-10T00:45:32.8082079Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8082365Z     out = self.net(x)
2025-10-10T00:45:32.8082466Z 
2025-10-10T00:45:32.8082543Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8082770Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8083136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8083439Z     return mod(*inputs)
2025-10-10T00:45:32.8083704Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8083993Z     x = self.blocks(x)
2025-10-10T00:45:32.8084258Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8084540Z     out = self.block(x)
2025-10-10T00:45:32.8084805Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8085101Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8085255Z 
2025-10-10T00:45:32.8085360Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8085682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8085980Z     return mod(*inputs)
2025-10-10T00:45:32.8086249Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8086539Z     x = self.blocks(x)
2025-10-10T00:45:32.8086805Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8087084Z     out = self.block(x)
2025-10-10T00:45:32.8087350Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8087635Z     out = self.net(x)
2025-10-10T00:45:32.8087727Z 
2025-10-10T00:45:32.8087830Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8088151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8088457Z     return mod(*inputs)
2025-10-10T00:45:32.8088724Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8089009Z     x = self.blocks(x)
2025-10-10T00:45:32.8089264Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8089549Z     out = self.block(x)
2025-10-10T00:45:32.8089812Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8090097Z     out = self.net(x)
2025-10-10T00:45:32.8090188Z 
2025-10-10T00:45:32.8090286Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8090609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8090907Z     return mod(*inputs)
2025-10-10T00:45:32.8091173Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8091464Z     x = self.blocks(x)
2025-10-10T00:45:32.8091718Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8092001Z     out = self.block(x)
2025-10-10T00:45:32.8092264Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8092546Z     out = self.net(x)
2025-10-10T00:45:32.8092639Z 
2025-10-10T00:45:32.8092741Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8093061Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8093359Z     return mod(*inputs)
2025-10-10T00:45:32.8093628Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8093915Z     x = self.blocks(x)
2025-10-10T00:45:32.8094169Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8094453Z     out = self.block(x)
2025-10-10T00:45:32.8094721Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8095007Z     out = self.net(x)
2025-10-10T00:45:32.8095097Z 
2025-10-10T00:45:32.8095172Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8095395Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8095762Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8096071Z     return mod(*inputs)
2025-10-10T00:45:32.8096340Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8096622Z     x = self.blocks(x)
2025-10-10T00:45:32.8096891Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8097182Z     out = self.block(x)
2025-10-10T00:45:32.8097447Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8097761Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8097888Z 
2025-10-10T00:45:32.8097982Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8098380Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8098694Z     return mod(*inputs)
2025-10-10T00:45:32.8098965Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8099255Z     x = self.blocks(x)
2025-10-10T00:45:32.8099523Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-10-10T00:45:32.8099820Z     return self.transition(x)
2025-10-10T00:45:32.8099929Z 
2025-10-10T00:45:32.8100034Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8100359Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8100662Z     return mod(*inputs)
2025-10-10T00:45:32.8100935Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8101224Z     x = self.blocks(x)
2025-10-10T00:45:32.8101479Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-10-10T00:45:32.8101769Z     return self.transition(x)
2025-10-10T00:45:32.8101887Z 
2025-10-10T00:45:32.8101984Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8102318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8102615Z     return mod(*inputs)
2025-10-10T00:45:32.8102875Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8103162Z     x = self.blocks(x)
2025-10-10T00:45:32.8103425Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 79, in forward
2025-10-10T00:45:32.8103716Z     return self.transition(x)
2025-10-10T00:45:32.8103822Z 
2025-10-10T00:45:32.8103919Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8104253Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8104548Z     return mod(*inputs)
2025-10-10T00:45:32.8104814Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8105101Z     x = self.blocks(x)
2025-10-10T00:45:32.8105355Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8105641Z     out = self.block(x)
2025-10-10T00:45:32.8105905Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8106184Z     out = self.net(x)
2025-10-10T00:45:32.8106276Z 
2025-10-10T00:45:32.8106370Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8106705Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8107006Z     return mod(*inputs)
2025-10-10T00:45:32.8107275Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8107555Z     x = self.blocks(x)
2025-10-10T00:45:32.8107818Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8108103Z     out = self.block(x)
2025-10-10T00:45:32.8108421Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8108712Z     out = self.net(x)
2025-10-10T00:45:32.8108802Z 
2025-10-10T00:45:32.8108896Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8109229Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8109531Z     return mod(*inputs)
2025-10-10T00:45:32.8109802Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8110087Z     x = self.blocks(x)
2025-10-10T00:45:32.8110406Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8110699Z     out = self.block(x)
2025-10-10T00:45:32.8110964Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8111240Z     out = self.net(x)
2025-10-10T00:45:32.8111342Z 
2025-10-10T00:45:32.8111438Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8111772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8112072Z     return mod(*inputs)
2025-10-10T00:45:32.8112341Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8112622Z     x = self.blocks(x)
2025-10-10T00:45:32.8112889Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8113175Z     out = self.block(x)
2025-10-10T00:45:32.8113446Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8113724Z     out = self.net(x)
2025-10-10T00:45:32.8113820Z 
2025-10-10T00:45:32.8113897Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8114121Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8114456Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8114756Z     return mod(*inputs)
2025-10-10T00:45:32.8115016Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8115305Z     x = self.blocks(x)
2025-10-10T00:45:32.8115572Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8115855Z     out = self.block(x)
2025-10-10T00:45:32.8116111Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8116406Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8116537Z 
2025-10-10T00:45:32.8116634Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8116965Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8117257Z     return mod(*inputs)
2025-10-10T00:45:32.8117530Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8117817Z     x = self.blocks(x)
2025-10-10T00:45:32.8118081Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8118362Z     out = self.block(x)
2025-10-10T00:45:32.8118619Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8118905Z     out = self.net(x)
2025-10-10T00:45:32.8119001Z 
2025-10-10T00:45:32.8119096Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8119425Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8119719Z     return mod(*inputs)
2025-10-10T00:45:32.8119993Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8120284Z     x = self.blocks(x)
2025-10-10T00:45:32.8120551Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8120875Z     out = self.block(x)
2025-10-10T00:45:32.8121136Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8121428Z     out = self.net(x)
2025-10-10T00:45:32.8121520Z 
2025-10-10T00:45:32.8121623Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8121957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8122244Z     return mod(*inputs)
2025-10-10T00:45:32.8122511Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8122830Z     x = self.blocks(x)
2025-10-10T00:45:32.8123100Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8123377Z     out = self.block(x)
2025-10-10T00:45:32.8123644Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8123928Z     out = self.net(x)
2025-10-10T00:45:32.8124019Z 
2025-10-10T00:45:32.8124124Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8124453Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8124744Z     return mod(*inputs)
2025-10-10T00:45:32.8125009Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8125296Z     x = self.blocks(x)
2025-10-10T00:45:32.8125562Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8125844Z     out = self.block(x)
2025-10-10T00:45:32.8126109Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8126395Z     out = self.net(x)
2025-10-10T00:45:32.8126484Z 
2025-10-10T00:45:32.8126572Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8126786Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8127122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8127421Z     return mod(*inputs)
2025-10-10T00:45:32.8127691Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8127976Z     x = self.blocks(x)
2025-10-10T00:45:32.8128231Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8128518Z     out = self.block(x)
2025-10-10T00:45:32.8128780Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8129075Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8129194Z 
2025-10-10T00:45:32.8129290Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8129619Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8129916Z     return mod(*inputs)
2025-10-10T00:45:32.8130183Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8130468Z     x = self.blocks(x)
2025-10-10T00:45:32.8130724Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8131005Z     out = self.block(x)
2025-10-10T00:45:32.8131266Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8131550Z     out = self.net(x)
2025-10-10T00:45:32.8131638Z 
2025-10-10T00:45:32.8131731Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8132065Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8132367Z     return mod(*inputs)
2025-10-10T00:45:32.8132632Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8132913Z     x = self.blocks(x)
2025-10-10T00:45:32.8133224Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8133517Z     out = self.block(x)
2025-10-10T00:45:32.8133784Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8134072Z     out = self.net(x)
2025-10-10T00:45:32.8134162Z 
2025-10-10T00:45:32.8134258Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8134591Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8134891Z     return mod(*inputs)
2025-10-10T00:45:32.8135158Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8135475Z     x = self.blocks(x)
2025-10-10T00:45:32.8135741Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8136027Z     out = self.block(x)
2025-10-10T00:45:32.8136296Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8136579Z     out = self.net(x)
2025-10-10T00:45:32.8136671Z 
2025-10-10T00:45:32.8136765Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8137096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8137397Z     return mod(*inputs)
2025-10-10T00:45:32.8137669Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8137728Z     x = self.blocks(x)
2025-10-10T00:45:32.8137896Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8137970Z     out = self.block(x)
2025-10-10T00:45:32.8138136Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8138203Z     out = self.net(x)
2025-10-10T00:45:32.8138206Z 
2025-10-10T00:45:32.8138285Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8138381Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8138567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8138627Z     return mod(*inputs)
2025-10-10T00:45:32.8138804Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8138863Z     x = self.blocks(x)
2025-10-10T00:45:32.8139028Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8139096Z     out = self.block(x)
2025-10-10T00:45:32.8139260Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8139338Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8139341Z 
2025-10-10T00:45:32.8139436Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8139620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8139683Z     return mod(*inputs)
2025-10-10T00:45:32.8139856Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8139926Z     x = self.blocks(x)
2025-10-10T00:45:32.8140093Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8140163Z     out = self.block(x)
2025-10-10T00:45:32.8140328Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8140388Z     out = self.net(x)
2025-10-10T00:45:32.8140390Z 
2025-10-10T00:45:32.8140492Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8140670Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8140736Z     return mod(*inputs)
2025-10-10T00:45:32.8140903Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8140960Z     x = self.blocks(x)
2025-10-10T00:45:32.8141166Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8141228Z     out = self.block(x)
2025-10-10T00:45:32.8141403Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8141461Z     out = self.net(x)
2025-10-10T00:45:32.8141464Z 
2025-10-10T00:45:32.8141557Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8141744Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8141804Z     return mod(*inputs)
2025-10-10T00:45:32.8142012Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8142071Z     x = self.blocks(x)
2025-10-10T00:45:32.8142236Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8142302Z     out = self.block(x)
2025-10-10T00:45:32.8142471Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8142536Z     out = self.net(x)
2025-10-10T00:45:32.8142539Z 
2025-10-10T00:45:32.8142631Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8142808Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8142875Z     return mod(*inputs)
2025-10-10T00:45:32.8143042Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8143106Z     x = self.blocks(x)
2025-10-10T00:45:32.8143273Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8143335Z     out = self.block(x)
2025-10-10T00:45:32.8143510Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8143568Z     out = self.net(x)
2025-10-10T00:45:32.8143571Z 
2025-10-10T00:45:32.8143654Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8143750Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8143937Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8143999Z     return mod(*inputs)
2025-10-10T00:45:32.8144167Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8144233Z     x = self.blocks(x)
2025-10-10T00:45:32.8144399Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8144465Z     out = self.block(x)
2025-10-10T00:45:32.8144635Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8144706Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8144710Z 
2025-10-10T00:45:32.8144810Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8144992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8145058Z     return mod(*inputs)
2025-10-10T00:45:32.8145225Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8145284Z     x = self.blocks(x)
2025-10-10T00:45:32.8145459Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8145517Z     out = self.block(x)
2025-10-10T00:45:32.8145695Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8145754Z     out = self.net(x)
2025-10-10T00:45:32.8145759Z 
2025-10-10T00:45:32.8145851Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8146041Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8146102Z     return mod(*inputs)
2025-10-10T00:45:32.8146278Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8146369Z     x = self.blocks(x)
2025-10-10T00:45:32.8146539Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8146609Z     out = self.block(x)
2025-10-10T00:45:32.8146776Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8146842Z     out = self.net(x)
2025-10-10T00:45:32.8146845Z 
2025-10-10T00:45:32.8146939Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8147120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8147225Z     return mod(*inputs)
2025-10-10T00:45:32.8147393Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8147459Z     x = self.blocks(x)
2025-10-10T00:45:32.8147624Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8147683Z     out = self.block(x)
2025-10-10T00:45:32.8147857Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8147914Z     out = self.net(x)
2025-10-10T00:45:32.8147917Z 
2025-10-10T00:45:32.8148018Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8148193Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8148259Z     return mod(*inputs)
2025-10-10T00:45:32.8148428Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8148490Z     x = self.blocks(x)
2025-10-10T00:45:32.8148663Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8148721Z     out = self.block(x)
2025-10-10T00:45:32.8148892Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8148953Z     out = self.net(x)
2025-10-10T00:45:32.8148956Z 
2025-10-10T00:45:32.8149034Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8149136Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8149312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8149380Z     return mod(*inputs)
2025-10-10T00:45:32.8149550Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8149608Z     x = self.blocks(x)
2025-10-10T00:45:32.8149779Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8149840Z     out = self.block(x)
2025-10-10T00:45:32.8150014Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8150082Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8150085Z 
2025-10-10T00:45:32.8150179Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8150366Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8150428Z     return mod(*inputs)
2025-10-10T00:45:32.8150602Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8150659Z     x = self.blocks(x)
2025-10-10T00:45:32.8150824Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8150889Z     out = self.block(x)
2025-10-10T00:45:32.8151052Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8151121Z     out = self.net(x)
2025-10-10T00:45:32.8151124Z 
2025-10-10T00:45:32.8151217Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8151402Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8151460Z     return mod(*inputs)
2025-10-10T00:45:32.8151659Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8151725Z     x = self.blocks(x)
2025-10-10T00:45:32.8151890Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8151955Z     out = self.block(x)
2025-10-10T00:45:32.8152119Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8152176Z     out = self.net(x)
2025-10-10T00:45:32.8152179Z 
2025-10-10T00:45:32.8152276Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8152451Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8152560Z     return mod(*inputs)
2025-10-10T00:45:32.8152728Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8152785Z     x = self.blocks(x)
2025-10-10T00:45:32.8152960Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8153020Z     out = self.block(x)
2025-10-10T00:45:32.8153197Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8153255Z     out = self.net(x)
2025-10-10T00:45:32.8153257Z 
2025-10-10T00:45:32.8153349Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8153533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8153593Z     return mod(*inputs)
2025-10-10T00:45:32.8153770Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8153833Z     x = self.blocks(x)
2025-10-10T00:45:32.8153999Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8154065Z     out = self.block(x)
2025-10-10T00:45:32.8154233Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 32, in forward
2025-10-10T00:45:32.8154303Z     out = self.net(x)
2025-10-10T00:45:32.8154306Z 
2025-10-10T00:45:32.8154379Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8154473Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8154658Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8154718Z     return mod(*inputs)
2025-10-10T00:45:32.8154894Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 166, in forward
2025-10-10T00:45:32.8154955Z     x = self.blocks(x)
2025-10-10T00:45:32.8155119Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 63, in forward
2025-10-10T00:45:32.8155191Z     out = self.block(x)
2025-10-10T00:45:32.8155356Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 33, in forward
2025-10-10T00:45:32.8155430Z     out = torch.cat([out, x], dim=1)
2025-10-10T00:45:32.8155433Z 
2025-10-10T00:45:32.8155504Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8155600Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:45:32.8155789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:45:32.8155847Z     return mod(*inputs)
2025-10-10T00:45:32.8156025Z   File "/torchbench/torchbenchmark/models/phlippe_densenet/__init__.py", line 167, in forward
2025-10-10T00:45:32.8156091Z     x = self.output_net(x)
2025-10-10T00:45:32.8156094Z 
2025-10-10T00:45:32.8156176Z cudagraph partition due to non gpu ops
2025-10-10T00:45:32.8156247Z cudagraph partition due to non gpu ops
2025-10-10T00:45:57.8520901Z 
2025-10-10T00:45:57.9523045Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:45:58.0533828Z running benchmark:   6% 3/50 [00:00<00:01, 29.79it/s]
2025-10-10T00:45:58.1598923Z running benchmark:  12% 6/50 [00:00<00:01, 29.72it/s]
2025-10-10T00:45:58.2656752Z running benchmark:  18% 9/50 [00:00<00:01, 28.99it/s]
2025-10-10T00:45:58.3665927Z running benchmark:  24% 12/50 [00:00<00:01, 28.74it/s]
2025-10-10T00:45:58.4674604Z running benchmark:  30% 15/50 [00:00<00:01, 29.09it/s]
2025-10-10T00:45:58.5683140Z running benchmark:  36% 18/50 [00:00<00:01, 29.30it/s]
2025-10-10T00:45:58.6692623Z running benchmark:  42% 21/50 [00:00<00:00, 29.45it/s]
2025-10-10T00:45:58.7702384Z running benchmark:  48% 24/50 [00:00<00:00, 29.53it/s]
2025-10-10T00:45:58.8721081Z running benchmark:  54% 27/50 [00:00<00:00, 29.59it/s]
2025-10-10T00:45:58.9731604Z running benchmark:  60% 30/50 [00:01<00:00, 29.55it/s]
2025-10-10T00:45:59.0741058Z running benchmark:  66% 33/50 [00:01<00:00, 29.59it/s]
2025-10-10T00:45:59.1754293Z running benchmark:  72% 36/50 [00:01<00:00, 29.63it/s]
2025-10-10T00:45:59.2810920Z running benchmark:  78% 39/50 [00:01<00:00, 29.62it/s]
2025-10-10T00:45:59.3834615Z running benchmark:  84% 42/50 [00:01<00:00, 29.24it/s]
2025-10-10T00:45:59.5164366Z running benchmark:  90% 45/50 [00:01<00:00, 29.26it/s]
2025-10-10T00:45:59.5496581Z running benchmark:  98% 49/50 [00:01<00:00, 29.55it/s]
2025-10-10T00:45:59.5497155Z running benchmark: 100% 50/50 [00:01<00:00, 29.44it/s]
2025-10-10T00:45:59.5916575Z 1.870x
2025-10-10T00:46:00.5066082Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:46:00.5066770Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv
2025-10-10T00:46:00.5080499Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:46:00.5081217Z cpu,phlippe_densenet,128,1.869949,11.354011,30.700755,0.926100,170.160947,183.739187,186,1,0,0,0,0,1
2025-10-10T00:46:00.5081880Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv -t 1.46474287 -s 0.99
2025-10-10T00:46:00.7615187Z phlippe_densenet                   1.869949
2025-10-10T00:46:00.7995928Z + IFS=,
2025-10-10T00:46:00.7996143Z + read -r -a model_cfg
2025-10-10T00:46:00.7996407Z + local model_name=basic_gnn_edgecnn
2025-10-10T00:46:00.7996651Z + local data_type=float32
2025-10-10T00:46:00.7996870Z + local speedup_target=1.30092957
2025-10-10T00:46:00.7997092Z + local backend=inductor
2025-10-10T00:46:00.7997301Z + [[ default == \c\p\p ]]
2025-10-10T00:46:00.7997534Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-10-10T00:46:00.7998083Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:46:00.7998696Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-10-10T00:46:00.7999677Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only basic_gnn_edgecnn --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:46:01.1310323Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:46:01.1311814Z   import pynvml  # type: ignore[import]
2025-10-10T00:46:02.8466783Z 
2025-10-10T00:46:03.9990505Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:46:03.9990887Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:46:03.9991737Z cpu  eval  basic_gnn_edgecnn                  
2025-10-10T00:46:05.5564393Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:05.5564827Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:05.5565158Z     return mod(*inputs)
2025-10-10T00:46:05.5565836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:46:05.5566231Z     x = self.convs[i](x, edge_index)
2025-10-10T00:46:05.5566480Z   File "/tmp/jenkins_pyg/tmpxi8wdkto.py", line 233, in forward
2025-10-10T00:46:05.5566740Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:46:05.5567012Z   File "/tmp/jenkins_pyg/tmpxi8wdkto.py", line 192, in propagate
2025-10-10T00:46:05.5567342Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-10-10T00:46:05.5567801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:46:05.5568334Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:46:05.5568726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:46:05.5569116Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:46:05.5569500Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-10-10T00:46:05.5569881Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-10-10T00:46:05.5570258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:46:05.5570610Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:46:05.5570963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-10-10T00:46:05.5571313Z     return src.new_zeros(size).scatter_reduce_(
2025-10-10T00:46:05.5571463Z 
2025-10-10T00:46:05.5571567Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:05.5571919Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:05.5572230Z     return mod(*inputs)
2025-10-10T00:46:05.5572562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:46:05.5572912Z     x = self.convs[i](x, edge_index)
2025-10-10T00:46:05.5573195Z   File "/tmp/jenkins_pyg/tmpkevw8g45.py", line 233, in forward
2025-10-10T00:46:05.5573444Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:46:05.5573709Z   File "/tmp/jenkins_pyg/tmpkevw8g45.py", line 192, in propagate
2025-10-10T00:46:05.5574032Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-10-10T00:46:05.5574498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:46:05.5574915Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:46:05.5575292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:46:05.5575677Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:46:05.5576057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-10-10T00:46:05.5576442Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-10-10T00:46:05.5576814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:46:05.5577165Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:46:05.5577517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-10-10T00:46:05.5577872Z     return src.new_zeros(size).scatter_reduce_(
2025-10-10T00:46:05.5578010Z 
2025-10-10T00:46:05.5578118Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:05.5578462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:05.5578824Z     return mod(*inputs)
2025-10-10T00:46:05.5579163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:46:05.5579517Z     x = self.convs[i](x, edge_index)
2025-10-10T00:46:05.5579744Z   File "/tmp/jenkins_pyg/tmp54amnf51.py", line 233, in forward
2025-10-10T00:46:05.5579987Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:46:05.5580245Z   File "/tmp/jenkins_pyg/tmp54amnf51.py", line 192, in propagate
2025-10-10T00:46:05.5580565Z     out = self.aggregate(out, dim_size=kwargs.dim_size, ptr=kwargs.ptr, index=kwargs.index)
2025-10-10T00:46:05.5581074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/message_passing.py", line 604, in aggregate
2025-10-10T00:46:05.5581485Z     return self.aggr_module(inputs, index, ptr=ptr, dim_size=dim_size,
2025-10-10T00:46:05.5581859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 109, in __call__
2025-10-10T00:46:05.5582235Z     return super().__call__(x, index, ptr, dim_size, dim, **kwargs)
2025-10-10T00:46:05.5582598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/basic.py", line 48, in forward
2025-10-10T00:46:05.5582975Z     return self.reduce(x, index, ptr, dim_size, dim, reduce='max')
2025-10-10T00:46:05.5583338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/aggr/base.py", line 155, in reduce
2025-10-10T00:46:05.5583683Z     return scatter(x, index, dim, dim_size, reduce)
2025-10-10T00:46:05.5584030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/utils/scatter.py", line 98, in scatter
2025-10-10T00:46:05.5584379Z     return src.new_zeros(size).scatter_reduce_(
2025-10-10T00:46:05.5584514Z 
2025-10-10T00:46:05.5584619Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:05.5584951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:05.5585259Z     return mod(*inputs)
2025-10-10T00:46:05.5585621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:46:05.5585970Z     x = self.convs[i](x, edge_index)
2025-10-10T00:46:05.5586197Z   File "/tmp/jenkins_pyg/tmpxi8wdkto.py", line 233, in forward
2025-10-10T00:46:05.5586450Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:46:05.5586707Z   File "/tmp/jenkins_pyg/tmpxi8wdkto.py", line 191, in propagate
2025-10-10T00:46:05.5586966Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:46:05.5587338Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:46:05.5587724Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:46:05.5587878Z 
2025-10-10T00:46:05.5587957Z cudagraph partition due to non gpu ops
2025-10-10T00:46:05.5588188Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:05.5588528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:05.5588824Z     return mod(*inputs)
2025-10-10T00:46:05.5589145Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:46:05.5589491Z     x = self.convs[i](x, edge_index)
2025-10-10T00:46:05.5589717Z   File "/tmp/jenkins_pyg/tmpxi8wdkto.py", line 233, in forward
2025-10-10T00:46:05.5589968Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:46:05.5590218Z   File "/tmp/jenkins_pyg/tmpxi8wdkto.py", line 191, in propagate
2025-10-10T00:46:05.5590470Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:46:05.5590833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:46:05.5591195Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:46:05.5593790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:46:05.5594154Z     x = self.act(x)
2025-10-10T00:46:05.5594253Z 
2025-10-10T00:46:05.5594335Z cudagraph partition due to non gpu ops
2025-10-10T00:46:05.5594563Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:05.5594902Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:05.5595198Z     return mod(*inputs)
2025-10-10T00:46:05.5595521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:46:05.5595917Z     x = self.convs[i](x, edge_index)
2025-10-10T00:46:05.5596148Z   File "/tmp/jenkins_pyg/tmpxi8wdkto.py", line 233, in forward
2025-10-10T00:46:05.5596392Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:46:05.5596645Z   File "/tmp/jenkins_pyg/tmpxi8wdkto.py", line 191, in propagate
2025-10-10T00:46:05.5596904Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:46:05.5597265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:46:05.5597621Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:46:05.5597975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:46:05.5598391Z     x = self.lins[-1](x)
2025-10-10T00:46:05.5598720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:46:05.5599088Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:46:05.5599227Z 
2025-10-10T00:46:05.5599314Z cudagraph partition due to non gpu ops
2025-10-10T00:46:05.5599538Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:05.5599881Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:05.5600200Z     return mod(*inputs)
2025-10-10T00:46:05.5600523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:46:05.5600883Z     x = self.convs[i](x, edge_index)
2025-10-10T00:46:05.5601117Z   File "/tmp/jenkins_pyg/tmpkevw8g45.py", line 233, in forward
2025-10-10T00:46:05.5601380Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:46:05.5601642Z   File "/tmp/jenkins_pyg/tmpkevw8g45.py", line 191, in propagate
2025-10-10T00:46:05.5601893Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:46:05.5602261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:46:05.5602634Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:46:05.5602778Z 
2025-10-10T00:46:05.5602868Z cudagraph partition due to non gpu ops
2025-10-10T00:46:05.5603091Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:05.5603435Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:05.5603752Z     return mod(*inputs)
2025-10-10T00:46:05.5604078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:46:05.5604435Z     x = self.convs[i](x, edge_index)
2025-10-10T00:46:05.5604657Z   File "/tmp/jenkins_pyg/tmpkevw8g45.py", line 233, in forward
2025-10-10T00:46:05.5604914Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:46:05.5605177Z   File "/tmp/jenkins_pyg/tmpkevw8g45.py", line 191, in propagate
2025-10-10T00:46:05.5605433Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:46:05.5605789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:46:05.5606158Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:46:05.5606586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:46:05.5606925Z     x = self.act(x)
2025-10-10T00:46:05.5607015Z 
2025-10-10T00:46:05.5607102Z cudagraph partition due to non gpu ops
2025-10-10T00:46:05.5607323Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:05.5607663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:05.5607972Z     return mod(*inputs)
2025-10-10T00:46:05.5608294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:46:05.5608707Z     x = self.convs[i](x, edge_index)
2025-10-10T00:46:05.5608941Z   File "/tmp/jenkins_pyg/tmpkevw8g45.py", line 233, in forward
2025-10-10T00:46:05.5609194Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:46:05.5609461Z   File "/tmp/jenkins_pyg/tmpkevw8g45.py", line 191, in propagate
2025-10-10T00:46:05.5609719Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:46:05.5610082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:46:05.5610455Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:46:05.5610815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:46:05.5611160Z     x = self.lins[-1](x)
2025-10-10T00:46:05.5611480Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:46:05.5611851Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:46:05.5611995Z 
2025-10-10T00:46:05.5612085Z cudagraph partition due to non gpu ops
2025-10-10T00:46:05.5612312Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:05.5612653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:05.5612947Z     return mod(*inputs)
2025-10-10T00:46:05.5613269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:46:05.5613616Z     x = self.convs[i](x, edge_index)
2025-10-10T00:46:05.5613843Z   File "/tmp/jenkins_pyg/tmp54amnf51.py", line 233, in forward
2025-10-10T00:46:05.5614086Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:46:05.5614342Z   File "/tmp/jenkins_pyg/tmp54amnf51.py", line 191, in propagate
2025-10-10T00:46:05.5614594Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:46:05.5614959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:46:05.5615322Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:46:05.5615463Z 
2025-10-10T00:46:05.5615540Z cudagraph partition due to non gpu ops
2025-10-10T00:46:05.5615769Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:05.5616111Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:05.5616414Z     return mod(*inputs)
2025-10-10T00:46:05.5616726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:46:05.5617074Z     x = self.convs[i](x, edge_index)
2025-10-10T00:46:05.5617302Z   File "/tmp/jenkins_pyg/tmp54amnf51.py", line 233, in forward
2025-10-10T00:46:05.5617552Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:46:05.5617811Z   File "/tmp/jenkins_pyg/tmp54amnf51.py", line 191, in propagate
2025-10-10T00:46:05.5618056Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:46:05.5618414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:46:05.5618811Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:46:05.5619164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 211, in forward
2025-10-10T00:46:05.5619480Z     x = self.act(x)
2025-10-10T00:46:05.5619576Z 
2025-10-10T00:46:05.5619652Z cudagraph partition due to non gpu ops
2025-10-10T00:46:05.5619872Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:46:05.5620208Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:46:05.5620510Z     return mod(*inputs)
2025-10-10T00:46:05.5620819Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/basic_gnn.py", line 226, in forward
2025-10-10T00:46:05.5621193Z     x = self.convs[i](x, edge_index)
2025-10-10T00:46:05.5621421Z   File "/tmp/jenkins_pyg/tmp54amnf51.py", line 233, in forward
2025-10-10T00:46:05.5621667Z     return self.propagate(edge_index, x=x, size=None)
2025-10-10T00:46:05.5621916Z   File "/tmp/jenkins_pyg/tmp54amnf51.py", line 191, in propagate
2025-10-10T00:46:05.5622167Z     out = self.message(x_j=kwargs.x_j, x_i=kwargs.x_i)
2025-10-10T00:46:05.5622523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/conv/edge_conv.py", line 63, in message
2025-10-10T00:46:05.5622885Z     return self.nn(torch.cat([x_i, x_j - x_i], dim=-1))
2025-10-10T00:46:05.5623237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/models/mlp.py", line 217, in forward
2025-10-10T00:46:05.5623557Z     x = self.lins[-1](x)
2025-10-10T00:46:05.5623870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch_geometric/nn/dense/linear.py", line 132, in forward
2025-10-10T00:46:05.5624224Z     return F.linear(x, self.weight, self.bias)
2025-10-10T00:46:05.5624359Z 
2025-10-10T00:46:05.5624441Z cudagraph partition due to non gpu ops
2025-10-10T00:46:13.7988851Z 
2025-10-10T00:46:13.9157605Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:46:14.0266492Z running benchmark:   8% 4/50 [00:00<00:01, 34.13it/s]
2025-10-10T00:46:14.1370045Z running benchmark:  16% 8/50 [00:00<00:01, 35.25it/s]
2025-10-10T00:46:14.2479841Z running benchmark:  24% 12/50 [00:00<00:01, 35.69it/s]
2025-10-10T00:46:14.3585022Z running benchmark:  32% 16/50 [00:00<00:00, 35.82it/s]
2025-10-10T00:46:14.4686227Z running benchmark:  40% 20/50 [00:00<00:00, 35.96it/s]
2025-10-10T00:46:14.5786579Z running benchmark:  48% 24/50 [00:00<00:00, 36.08it/s]
2025-10-10T00:46:14.6886732Z running benchmark:  56% 28/50 [00:00<00:00, 36.17it/s]
2025-10-10T00:46:14.8000023Z running benchmark:  64% 32/50 [00:00<00:00, 36.23it/s]
2025-10-10T00:46:14.9102477Z running benchmark:  72% 36/50 [00:01<00:00, 36.13it/s]
2025-10-10T00:46:15.0265181Z running benchmark:  80% 40/50 [00:01<00:00, 36.18it/s]
2025-10-10T00:46:15.1374544Z running benchmark:  88% 44/50 [00:01<00:00, 35.62it/s]
2025-10-10T00:46:15.1932160Z running benchmark:  96% 48/50 [00:01<00:00, 35.75it/s]
2025-10-10T00:46:15.1932666Z running benchmark: 100% 50/50 [00:01<00:00, 35.85it/s]
2025-10-10T00:46:15.2131640Z 1.418x
2025-10-10T00:46:15.2135766Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:46:16.0395194Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:46:16.0417148Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:46:16.0418055Z cpu,basic_gnn_edgecnn,1,1.417544,11.254092,9.371193,0.959947,134.816154,140.441190,55,1,0,0,0,0,1
2025-10-10T00:46:16.0418846Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv -t 1.30092957 -s 0.99
2025-10-10T00:46:16.2891880Z basic_gnn_edgecnn                  1.417544
2025-10-10T00:46:16.3271646Z + IFS=,
2025-10-10T00:46:16.3271895Z + read -r -a model_cfg
2025-10-10T00:46:16.3272119Z + local model_name=llama_v2_7b_16h
2025-10-10T00:46:16.3272342Z + local data_type=float32
2025-10-10T00:46:16.3272560Z + local speedup_target=1.23234331
2025-10-10T00:46:16.3272783Z + local backend=inductor
2025-10-10T00:46:16.3272987Z + [[ default == \c\p\p ]]
2025-10-10T00:46:16.3273187Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-10-10T00:46:16.3273708Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:46:16.3274301Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-10-10T00:46:16.3275245Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only llama_v2_7b_16h --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:46:16.6512002Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:46:16.6513422Z   import pynvml  # type: ignore[import]
2025-10-10T00:46:18.3718284Z 
2025-10-10T00:46:47.0021989Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:46:47.0022316Z loading model: 0it [00:28, ?it/s]
2025-10-10T00:46:47.0030837Z cpu  eval  llama_v2_7b_16h                    
2025-10-10T00:47:00.2978466Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.2978887Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.2979223Z     return mod(**inputs)
2025-10-10T00:47:00.2979614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.2979984Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.2980360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.2980773Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.2981146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.2981489Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.2981869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 392, in forward
2025-10-10T00:47:00.2982308Z     position_embeddings = self.rotary_emb(hidden_states, position_ids)
2025-10-10T00:47:00.2982731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 122, in decorate_context
2025-10-10T00:47:00.2983089Z     return func(*args, **kwargs)
2025-10-10T00:47:00.2983449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_rope_utils.py", line 87, in wrapper
2025-10-10T00:47:00.2983830Z     return rope_forward(self, x, position_ids)
2025-10-10T00:47:00.2984237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 101, in forward
2025-10-10T00:47:00.2984704Z     freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2)
2025-10-10T00:47:00.2984924Z 
2025-10-10T00:47:00.2985033Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.2985394Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.2985712Z     return mod(**inputs)
2025-10-10T00:47:00.2986031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.2986388Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.2987081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.2987509Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.2988115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.2988467Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.2988852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 382, in forward
2025-10-10T00:47:00.2989237Z     causal_mask = create_causal_mask(
2025-10-10T00:47:00.2989708Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 787, in create_causal_mask
2025-10-10T00:47:00.2990193Z     early_exit, attention_mask, packed_sequence_mask, kv_length, kv_offset = _preprocess_mask_arguments(
2025-10-10T00:47:00.2990712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 739, in _preprocess_mask_arguments
2025-10-10T00:47:00.2991155Z     packed_sequence_mask = find_packed_sequence_indices(position_ids)
2025-10-10T00:47:00.2991608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 654, in find_packed_sequence_indices
2025-10-10T00:47:00.2992131Z     first_dummy_value = position_ids[:, :1] - 1  # We just need the diff on this first value to be 1
2025-10-10T00:47:00.2992348Z 
2025-10-10T00:47:00.2992438Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.2992665Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.2993017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.2993336Z     return mod(**inputs)
2025-10-10T00:47:00.2993662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.2994001Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.2994380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.2994784Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.2995153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.2995505Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.2995884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.2996261Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.2996606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.2996965Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.2997340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.2997717Z     return func(*args, **kwargs)
2025-10-10T00:47:00.2998089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.2998547Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.2998918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.2999323Z     return func(*args, **kwargs)
2025-10-10T00:47:00.2999735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3000196Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3000393Z 
2025-10-10T00:47:00.3000507Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3000868Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3001240Z     return mod(**inputs)
2025-10-10T00:47:00.3001577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3001929Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3002310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3002716Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3003078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3003481Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3003864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 392, in forward
2025-10-10T00:47:00.3004305Z     position_embeddings = self.rotary_emb(hidden_states, position_ids)
2025-10-10T00:47:00.3004719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_contextlib.py", line 122, in decorate_context
2025-10-10T00:47:00.3005076Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3005430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_rope_utils.py", line 87, in wrapper
2025-10-10T00:47:00.3005803Z     return rope_forward(self, x, position_ids)
2025-10-10T00:47:00.3006197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 101, in forward
2025-10-10T00:47:00.3006658Z     freqs = (inv_freq_expanded.float() @ position_ids_expanded.float()).transpose(1, 2)
2025-10-10T00:47:00.3006874Z 
2025-10-10T00:47:00.3006976Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3007321Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3007641Z     return mod(**inputs)
2025-10-10T00:47:00.3007963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3008316Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3008693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3009095Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3009464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3009810Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3010179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3010563Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3010906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3011270Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3011641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3012016Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3012382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3012758Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3013125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3013479Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3013849Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3014308Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3014867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3015301Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3015692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3016088Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3016222Z 
2025-10-10T00:47:00.3016303Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3016539Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3016888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3017238Z     return mod(**inputs)
2025-10-10T00:47:00.3017574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3017926Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3018304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3018707Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3019074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3019425Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3019803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3020180Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3020518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3020874Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3021239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3021616Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3021986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3022365Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3022723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3023095Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3023463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3023920Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3024407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3024839Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3025248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3025636Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3025763Z 
2025-10-10T00:47:00.3025866Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3026218Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3026567Z     return mod(**inputs)
2025-10-10T00:47:00.3026889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3027240Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3027616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3028023Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3028437Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3028788Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3029172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3029559Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3029916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3030277Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3030656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3031072Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3031445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3031824Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3032196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3032563Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3032919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3033375Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3033568Z 
2025-10-10T00:47:00.3033674Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3034017Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3034331Z     return mod(**inputs)
2025-10-10T00:47:00.3034644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3034999Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3035376Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3035782Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3036146Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3036502Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3036880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3037261Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3037610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3037958Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3038335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3038706Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3039081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3039462Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3039821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3040182Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3040543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3041007Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3041486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3041909Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3042342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3042732Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3042857Z 
2025-10-10T00:47:00.3042944Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3043173Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3043520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3043834Z     return mod(**inputs)
2025-10-10T00:47:00.3044150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3045582Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3045956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3046357Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3046727Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3047075Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3047446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3047827Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3048165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3048516Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3048885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3049239Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3049601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3049973Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3050336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3050694Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3051046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3051499Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3051982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3052405Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3052792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3053174Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3053308Z 
2025-10-10T00:47:00.3053412Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3053761Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3054073Z     return mod(**inputs)
2025-10-10T00:47:00.3054388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3054735Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3055112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3055516Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3055879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3056217Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3056631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3057008Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3057348Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3057702Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3058065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3058424Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3058781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3059191Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3059542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3059898Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3060260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3060705Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3060895Z 
2025-10-10T00:47:00.3061004Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3061345Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3061654Z     return mod(**inputs)
2025-10-10T00:47:00.3061971Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3062321Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3062690Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3063088Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3063450Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3063792Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3064165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 382, in forward
2025-10-10T00:47:00.3064532Z     causal_mask = create_causal_mask(
2025-10-10T00:47:00.3064898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 787, in create_causal_mask
2025-10-10T00:47:00.3065384Z     early_exit, attention_mask, packed_sequence_mask, kv_length, kv_offset = _preprocess_mask_arguments(
2025-10-10T00:47:00.3065884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 739, in _preprocess_mask_arguments
2025-10-10T00:47:00.3066318Z     packed_sequence_mask = find_packed_sequence_indices(position_ids)
2025-10-10T00:47:00.3066750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 655, in find_packed_sequence_indices
2025-10-10T00:47:00.3067205Z     position_diff = torch.diff(position_ids, prepend=first_dummy_value, dim=-1)
2025-10-10T00:47:00.3067407Z 
2025-10-10T00:47:00.3067485Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3067726Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3068072Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3068371Z     return mod(**inputs)
2025-10-10T00:47:00.3068689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3069036Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3069408Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3069799Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3070195Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3070538Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3070913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 382, in forward
2025-10-10T00:47:00.3071286Z     causal_mask = create_causal_mask(
2025-10-10T00:47:00.3071640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 787, in create_causal_mask
2025-10-10T00:47:00.3072157Z     early_exit, attention_mask, packed_sequence_mask, kv_length, kv_offset = _preprocess_mask_arguments(
2025-10-10T00:47:00.3072651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 739, in _preprocess_mask_arguments
2025-10-10T00:47:00.3073082Z     packed_sequence_mask = find_packed_sequence_indices(position_ids)
2025-10-10T00:47:00.3073523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 656, in find_packed_sequence_indices
2025-10-10T00:47:00.3073935Z     packed_sequence_mask = (position_diff != 1).cumsum(-1)
2025-10-10T00:47:00.3074099Z 
2025-10-10T00:47:00.3074202Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3074551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3074863Z     return mod(**inputs)
2025-10-10T00:47:00.3075180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3075520Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3075892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3076291Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3076654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3076985Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3077363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 382, in forward
2025-10-10T00:47:00.3077735Z     causal_mask = create_causal_mask(
2025-10-10T00:47:00.3078096Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 787, in create_causal_mask
2025-10-10T00:47:00.3078575Z     early_exit, attention_mask, packed_sequence_mask, kv_length, kv_offset = _preprocess_mask_arguments(
2025-10-10T00:47:00.3079070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 739, in _preprocess_mask_arguments
2025-10-10T00:47:00.3079498Z     packed_sequence_mask = find_packed_sequence_indices(position_ids)
2025-10-10T00:47:00.3079937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/masking_utils.py", line 656, in find_packed_sequence_indices
2025-10-10T00:47:00.3080356Z     packed_sequence_mask = (position_diff != 1).cumsum(-1)
2025-10-10T00:47:00.3080512Z 
2025-10-10T00:47:00.3080624Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3080961Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3081270Z     return mod(**inputs)
2025-10-10T00:47:00.3081591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3081934Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3082313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3082706Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3083067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3083451Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3083830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3084197Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3084541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3084897Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3085266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3085670Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3086031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3086410Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3086774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3087141Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3087512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3087909Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3088346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3088817Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3088998Z 
2025-10-10T00:47:00.3089083Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3089308Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3089660Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3089972Z     return mod(**inputs)
2025-10-10T00:47:00.3090302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3090654Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3091025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3091444Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3091810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3092156Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3092533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3092900Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3093241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3093602Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3093972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3094326Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3094692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3095073Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3095436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3095804Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3096163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3096568Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3097032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3097501Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3097674Z 
2025-10-10T00:47:00.3097785Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3098122Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3098487Z     return mod(**inputs)
2025-10-10T00:47:00.3098807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3099224Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3099593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3099994Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3100363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3100709Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3101084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3101452Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3101789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3102140Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3102510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3102878Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3103235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3103609Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3103972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3104331Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3104686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3105070Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3105209Z 
2025-10-10T00:47:00.3105311Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3105658Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3105970Z     return mod(**inputs)
2025-10-10T00:47:00.3106283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3106631Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3107009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3107412Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3107766Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3108113Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3108487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3108860Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3109202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3109551Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3109920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3110283Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3110694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3111078Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3111449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3111897Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3112096Z 
2025-10-10T00:47:00.3112199Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3112577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3112888Z     return mod(**inputs)
2025-10-10T00:47:00.3113201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3113543Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3113917Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3114315Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3114668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3115016Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3115385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3115755Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3116091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3116434Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3116798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3117161Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3117522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3117894Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3118267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3118702Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3118899Z 
2025-10-10T00:47:00.3119003Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3119347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3119646Z     return mod(**inputs)
2025-10-10T00:47:00.3119960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3120303Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3120675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3121072Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3121428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3121777Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3122150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3122531Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3122860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3123210Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3123606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3123976Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3124345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3124722Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3125109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3125556Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3125783Z 
2025-10-10T00:47:00.3125893Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3126243Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3126548Z     return mod(**inputs)
2025-10-10T00:47:00.3126874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3127225Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3127605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3128009Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3128378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3128727Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3129109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3129492Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3129821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3130178Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3130551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3130919Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3131282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3131662Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3132045Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3132493Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3132686Z 
2025-10-10T00:47:00.3132795Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3133145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3133449Z     return mod(**inputs)
2025-10-10T00:47:00.3133771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3134121Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3134497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3134892Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3135255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3135605Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3135988Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3136365Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3136694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3137100Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3137469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3137834Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3138185Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3138564Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3138928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3139324Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3139681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3140117Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3140319Z 
2025-10-10T00:47:00.3140424Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3140775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3141085Z     return mod(**inputs)
2025-10-10T00:47:00.3141405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3141740Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3142112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3142509Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3142874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3143215Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3143585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3143955Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3144289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3144640Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3144998Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3145359Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3145719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3146098Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3146464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3146816Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3147179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3147634Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3148118Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3148539Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3148928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3149316Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3149447Z 
2025-10-10T00:47:00.3149526Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3149757Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3150090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3150437Z     return mod(**inputs)
2025-10-10T00:47:00.3150759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3151107Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3151477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3151867Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3152227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3152603Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3152975Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3153345Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3153681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3154034Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3154404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3154762Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3155114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3155490Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3155852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3156211Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3156574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3157024Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3157514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3157944Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3158340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3158729Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3158854Z 
2025-10-10T00:47:00.3158955Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3159304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3159612Z     return mod(**inputs)
2025-10-10T00:47:00.3159934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3160268Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3160641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3161042Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3161404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3161749Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3162116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3162490Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3162833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3163186Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3163548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3163933Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3164296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3164667Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3165024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3165376Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3165739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3166204Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3166391Z 
2025-10-10T00:47:00.3166498Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3166842Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3167146Z     return mod(**inputs)
2025-10-10T00:47:00.3167464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3167809Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3168180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3168577Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3168929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3169275Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3169646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3170021Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3170355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3170707Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3171076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3171436Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3171795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3172161Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3172519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3172880Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3173238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3173691Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3174170Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3174590Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3174983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3175363Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3175490Z 
2025-10-10T00:47:00.3175567Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3175798Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3176144Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3176451Z     return mod(**inputs)
2025-10-10T00:47:00.3176769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3177134Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3177511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3177914Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3178280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3178622Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3178986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3179409Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3179753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3180111Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3180474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3180834Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3181193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3181569Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3181933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3182284Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3182649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3183107Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3183592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3184012Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3184407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3184793Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3184925Z 
2025-10-10T00:47:00.3185028Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3185382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3185687Z     return mod(**inputs)
2025-10-10T00:47:00.3186011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3186357Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3186736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3187130Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3187493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3187839Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3188213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3188589Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3188932Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3189284Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3189661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3190024Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3190393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3190796Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3191164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3191525Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3191884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3192328Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3192520Z 
2025-10-10T00:47:00.3192597Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3192871Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3193217Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3193527Z     return mod(**inputs)
2025-10-10T00:47:00.3193842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3194191Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3194566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3194965Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3195333Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3195673Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3196051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3196428Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3196771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3197129Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3197493Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3197853Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3198249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3198627Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3198981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3199337Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3199704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3200110Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3200543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3201005Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3201190Z 
2025-10-10T00:47:00.3201296Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3201643Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3201950Z     return mod(**inputs)
2025-10-10T00:47:00.3202265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3202604Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3202981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3203383Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3203733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3204116Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3204484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3204853Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3205183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3205528Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3205882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3206288Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3206646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3207014Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3207369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3207714Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3208065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3208436Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3208560Z 
2025-10-10T00:47:00.3208669Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3208993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3209293Z     return mod(**inputs)
2025-10-10T00:47:00.3209608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3209943Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3210311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3210692Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3211047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3211380Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3211742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3212105Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3212425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3212777Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3213134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3213481Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3213825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3214196Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3214562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3214990Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3215170Z 
2025-10-10T00:47:00.3215279Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3215608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3215912Z     return mod(**inputs)
2025-10-10T00:47:00.3216220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3216554Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3216947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3217328Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3217677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3218009Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3218371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3218726Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3219050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3219425Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3219784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3220134Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3220484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3220856Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3221226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3221651Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3221831Z 
2025-10-10T00:47:00.3221935Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3222266Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3222573Z     return mod(**inputs)
2025-10-10T00:47:00.3222886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3223227Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3223583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3223969Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3224324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3224656Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3225020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3225375Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3225704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3226048Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3226409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3226759Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3227104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3227476Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3227842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3228264Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3228444Z 
2025-10-10T00:47:00.3228548Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3228878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3229181Z     return mod(**inputs)
2025-10-10T00:47:00.3229489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3229820Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3230249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3230638Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3230990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3231328Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3231699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3232110Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3232439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3232784Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3233139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3233485Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3233837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3234204Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3234568Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3234997Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3235181Z 
2025-10-10T00:47:00.3235283Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3235618Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3235915Z     return mod(**inputs)
2025-10-10T00:47:00.3236222Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3236558Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3236913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3237295Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3237648Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3237982Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3238341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3238709Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3239038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3239382Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3239744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3240090Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3240443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3240808Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3241156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3264545Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3265128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3265618Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3265832Z 
2025-10-10T00:47:00.3265945Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3266422Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3266755Z     return mod(**inputs)
2025-10-10T00:47:00.3267086Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3267444Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3267830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3268244Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3268613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3269266Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3269650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3270036Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3270393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3270749Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3271128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3271498Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3271869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3272252Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3272619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3272985Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3273346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3273805Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3274288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3274711Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3275119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3275511Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3275640Z 
2025-10-10T00:47:00.3275733Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3275958Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3276308Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3276621Z     return mod(**inputs)
2025-10-10T00:47:00.3276947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3277298Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3277664Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3278068Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3278438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3278784Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3279151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3279531Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3279875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3280230Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3280637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3280998Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3281367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3281744Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3282111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3282474Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3282867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3283326Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3283817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3284241Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3284636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3285020Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3285155Z 
2025-10-10T00:47:00.3285264Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3285620Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3285938Z     return mod(**inputs)
2025-10-10T00:47:00.3286252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3286604Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3286978Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3287386Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3287753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3288094Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3288472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3288852Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3289194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3289547Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3289915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3290279Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3290649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3291024Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3291377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3291737Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3292099Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3292543Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3292734Z 
2025-10-10T00:47:00.3292843Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3293184Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3293492Z     return mod(**inputs)
2025-10-10T00:47:00.3293859Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3294203Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3294567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3294965Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3295332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3295681Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3296059Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3296470Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3296818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3297179Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3297559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3297931Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3298347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3298724Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3299088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3299452Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3299810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3300268Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3300758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3301177Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3301579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3301956Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3302089Z 
2025-10-10T00:47:00.3302167Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3302403Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3302752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3303059Z     return mod(**inputs)
2025-10-10T00:47:00.3303381Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3303724Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3304100Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3304500Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3304846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3305184Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3305548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3305907Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3306227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3306573Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3306931Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3307284Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3307704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3308069Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3308422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3308777Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3309136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3309583Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3310108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3310523Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3310919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3311305Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3311431Z 
2025-10-10T00:47:00.3311545Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3311882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3312189Z     return mod(**inputs)
2025-10-10T00:47:00.3312507Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3312846Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3313205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3313597Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3313955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3314294Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3314663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3315019Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3315353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3315699Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3316056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3316417Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3316764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3317130Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3317487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3317836Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3318179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3318611Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3318802Z 
2025-10-10T00:47:00.3318876Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3319105Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3319444Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3319738Z     return mod(**inputs)
2025-10-10T00:47:00.3320053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3320388Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3320782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3321176Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3321529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3321862Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3322227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3322588Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3322947Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3323298Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3323661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3324018Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3324375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3324733Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3325088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3325437Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3325792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3326184Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3326616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3327086Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3327260Z 
2025-10-10T00:47:00.3327372Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3327709Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3328005Z     return mod(**inputs)
2025-10-10T00:47:00.3328321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3328665Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3329035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3329435Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3329789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3330129Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3330502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3330869Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3331194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3331544Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3331904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3332263Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3332621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3332984Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3333337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3333690Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3334076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3334452Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3334580Z 
2025-10-10T00:47:00.3334679Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3335014Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3335312Z     return mod(**inputs)
2025-10-10T00:47:00.3335616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3335992Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3336354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3336742Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3337097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3337431Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3337784Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3338146Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3338473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3338815Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3339172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3339526Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3339870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3340243Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3340615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3341048Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3341234Z 
2025-10-10T00:47:00.3341345Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3341673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3341975Z     return mod(**inputs)
2025-10-10T00:47:00.3342284Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3342625Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3342989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3343365Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3343721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3344052Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3344412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3344765Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3345095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3345436Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3345799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3346149Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3346491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3346899Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3347270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3347705Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3347890Z 
2025-10-10T00:47:00.3347996Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3348324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3348626Z     return mod(**inputs)
2025-10-10T00:47:00.3348977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3349311Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3349675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3350067Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3350428Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3350764Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3351130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3351488Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3351823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3352173Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3352533Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3352889Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3353234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3353610Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3353982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3354416Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3354601Z 
2025-10-10T00:47:00.3354708Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3355040Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3355347Z     return mod(**inputs)
2025-10-10T00:47:00.3355660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3355996Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3356354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3356741Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3357102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3357442Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3357808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3358164Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3358496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3358844Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3359201Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3359549Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3359938Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3360309Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3360677Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3361102Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3361284Z 
2025-10-10T00:47:00.3361383Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3361718Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3362054Z     return mod(**inputs)
2025-10-10T00:47:00.3362362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3362700Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3363065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3363453Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3363809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3364147Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3364502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3364871Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3365205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3365554Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3365914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3366262Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3366615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3366984Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3367343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3367703Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3368051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3368490Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3368683Z 
2025-10-10T00:47:00.3368785Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3369123Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3369416Z     return mod(**inputs)
2025-10-10T00:47:00.3369729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3370068Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3370436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3370826Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3371182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3371522Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3371892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3372252Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3372580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3372955Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3373313Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3373663Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3374008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3374375Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3374725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3375108Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3375345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3375504Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3375778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3375863Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3376120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3376193Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3376196Z 
2025-10-10T00:47:00.3376279Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3376378Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3376564Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3376632Z     return mod(**inputs)
2025-10-10T00:47:00.3376839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3376921Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3377162Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3377255Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3377466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3377537Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3377782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3377852Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3378067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3378140Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3378369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3378444Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3378679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3378755Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3378983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3379046Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3379285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3379433Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3379710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3379820Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3380075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3380144Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3380147Z 
2025-10-10T00:47:00.3380248Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3380439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3380500Z     return mod(**inputs)
2025-10-10T00:47:00.3380712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3380826Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3381061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3381158Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3381367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3381443Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3381678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3381745Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3381960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3382034Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3382272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3382339Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3382581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3382652Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3382878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3382953Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3383187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3383326Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3383329Z 
2025-10-10T00:47:00.3383429Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3383615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3383684Z     return mod(**inputs)
2025-10-10T00:47:00.3383892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3383968Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3384206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3384302Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3384506Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3384575Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3384818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3384889Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3385104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3385178Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3385439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3385512Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3385747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3385822Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3386047Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3386111Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3386354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3386536Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3386815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3386897Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3387150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3387218Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3387221Z 
2025-10-10T00:47:00.3387890Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3387999Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3388182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3388251Z     return mod(**inputs)
2025-10-10T00:47:00.3388457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3388524Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3388769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3388864Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3389080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3389153Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3389395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3389464Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3389671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3389759Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3389987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3390060Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3390297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3390368Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3390599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3390665Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3390906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3391053Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3391331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3391417Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3391661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3391776Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3391779Z 
2025-10-10T00:47:00.3391881Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3392070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3392134Z     return mod(**inputs)
2025-10-10T00:47:00.3392339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3392419Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3392650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3392780Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3392986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3393063Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3393303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3393369Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3393584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3393659Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3393892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3393959Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3394197Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3394271Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3394495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3394568Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3394805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3394942Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3394953Z 
2025-10-10T00:47:00.3395025Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3395123Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3395310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3395374Z     return mod(**inputs)
2025-10-10T00:47:00.3395585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3395656Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3395894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3395993Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3396199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3396275Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3396513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3396580Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3396797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3396874Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3397107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3397171Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3397439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3397515Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3397745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3397818Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3398057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3398196Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3398550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3398682Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3398686Z 
2025-10-10T00:47:00.3398797Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3399016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3399088Z     return mod(**inputs)
2025-10-10T00:47:00.3399295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3399366Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3399610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3399702Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3399921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3399991Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3400236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3400309Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3400515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3400601Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3400826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3400903Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3401138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3401213Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3401447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3401510Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3401749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3401826Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3401829Z 
2025-10-10T00:47:00.3401935Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3402118Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3402179Z     return mod(**inputs)
2025-10-10T00:47:00.3402388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3402457Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3402698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3402790Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3402993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3403134Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3403374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3403451Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3403659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3403733Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3403965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3404065Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3404311Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-10-10T00:47:00.3404387Z     hidden_states = residual + hidden_states
2025-10-10T00:47:00.3404390Z 
2025-10-10T00:47:00.3404494Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3404679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3404741Z     return mod(**inputs)
2025-10-10T00:47:00.3404951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3405019Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3405263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3405355Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3405561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3405638Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3405875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3405951Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3406160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3406233Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3406467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3406534Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3406775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3406856Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3407095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3407234Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3407238Z 
2025-10-10T00:47:00.3407337Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3407529Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3407591Z     return mod(**inputs)
2025-10-10T00:47:00.3407804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3407874Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3408107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3408209Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3408414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3408489Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3408753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3408828Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3409036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3409111Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3409345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3409412Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3409657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3409764Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3410027Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3410170Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3410175Z 
2025-10-10T00:47:00.3410273Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3410464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3410525Z     return mod(**inputs)
2025-10-10T00:47:00.3410732Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3410811Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3411046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3411147Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3411353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3411430Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3411669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3411738Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3411956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3412029Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3412260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3412326Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3412565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3412650Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3412890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3413040Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3413044Z 
2025-10-10T00:47:00.3413144Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3413337Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3413403Z     return mod(**inputs)
2025-10-10T00:47:00.3413609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3413689Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3413925Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3414029Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3414234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3414303Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3414581Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3414652Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3414871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3414946Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3415182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3415288Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3415525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3415609Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3415847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3415989Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3415992Z 
2025-10-10T00:47:00.3416090Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3416275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3416345Z     return mod(**inputs)
2025-10-10T00:47:00.3416549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3416629Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3416867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3416958Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3417169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3417241Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3417485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3417554Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3417768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3417842Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3418065Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3418143Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3418377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3418455Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3418682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3418746Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3418989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3419125Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3419128Z 
2025-10-10T00:47:00.3419234Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3419416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3419490Z     return mod(**inputs)
2025-10-10T00:47:00.3419694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3419765Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3420035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3420126Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3420337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3420405Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3420640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3420716Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3420923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3421055Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3421282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3421347Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3421589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3421658Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3421887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3421950Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3422188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3422338Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3422609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3422698Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3422950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3423029Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3423032Z 
2025-10-10T00:47:00.3423107Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3423207Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3423397Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3423458Z     return mod(**inputs)
2025-10-10T00:47:00.3423669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3423742Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3423976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3424074Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3424281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3424362Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3424596Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3424672Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3424879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3424951Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3425183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3425251Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3425491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3425560Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3425816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3425891Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3426129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3426287Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3426561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3426686Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3426930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3427000Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3427003Z 
2025-10-10T00:47:00.3427112Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3427292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3427358Z     return mod(**inputs)
2025-10-10T00:47:00.3427560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3427629Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3427870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3427959Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3428172Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3428241Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3428483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3428549Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3428752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3428836Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3429062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3429135Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3429365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3429436Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3429666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3429730Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3429970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3430102Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3430105Z 
2025-10-10T00:47:00.3430210Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3430392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3430452Z     return mod(**inputs)
2025-10-10T00:47:00.3430662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3430735Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3430974Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3431064Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3431298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3431380Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3431612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3431684Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3431891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3431964Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3432196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3432313Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3432552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3432622Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3432856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3432919Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3433155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3433309Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3433579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3433667Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3433911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3433979Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3433982Z 
2025-10-10T00:47:00.3434063Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3434163Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3434352Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3434410Z     return mod(**inputs)
2025-10-10T00:47:00.3434612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3434688Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3434922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3435020Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3435224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3435299Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3435534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3435601Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3435815Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3435888Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3436119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3436185Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3436417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3436494Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3436718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3436790Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3437050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3437203Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3437472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3437552Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3437804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3437904Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3437907Z 
2025-10-10T00:47:00.3438010Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3438192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3438257Z     return mod(**inputs)
2025-10-10T00:47:00.3438469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3438539Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3438783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3438872Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3439076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3439154Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3439390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3439466Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3439676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3439757Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3439985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3440049Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3440292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3440360Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3440595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3440663Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3440900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3441041Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3441046Z 
2025-10-10T00:47:00.3441121Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3441224Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3441407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3441474Z     return mod(**inputs)
2025-10-10T00:47:00.3441680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3441749Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3441992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3442084Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3442299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3442369Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3442632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3442710Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3442914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3442994Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3443217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3443282Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3443563Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3443631Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3443861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3443927Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3444173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3444267Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3444543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3444678Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3444681Z 
2025-10-10T00:47:00.3444783Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3444975Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3445036Z     return mod(**inputs)
2025-10-10T00:47:00.3445241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3445321Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3445558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3445654Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3445862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3445938Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3446174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3446243Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3446457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3446530Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3446767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3446833Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3447068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3447143Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3447370Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3447440Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3447673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3447751Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3447759Z 
2025-10-10T00:47:00.3447856Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3448067Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3448135Z     return mod(**inputs)
2025-10-10T00:47:00.3448342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3448417Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3448655Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3448745Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3448957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3449057Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3449297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3449363Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3449570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3449649Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3449874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3449948Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3450179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3450254Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3450497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3450634Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3450637Z 
2025-10-10T00:47:00.3450739Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3450920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3450989Z     return mod(**inputs)
2025-10-10T00:47:00.3451192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3451261Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3451501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3451589Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3451798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3451870Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3452103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3452178Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3452386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3452465Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3452691Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3452762Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3452995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3453070Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3453312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3453445Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3453448Z 
2025-10-10T00:47:00.3453552Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3453763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3453826Z     return mod(**inputs)
2025-10-10T00:47:00.3454036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3454105Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3454346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3454436Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3454678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3454748Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3454982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3455060Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3455265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3455345Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3455570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3455632Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3455870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3455946Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3456186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3456318Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3456321Z 
2025-10-10T00:47:00.3456426Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3456609Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3456670Z     return mod(**inputs)
2025-10-10T00:47:00.3456880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3456948Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3457190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3457284Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3457488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3457564Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3457799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3457878Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3458082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3458155Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3458387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3458451Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3458688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3458766Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3459004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3459165Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3459169Z 
2025-10-10T00:47:00.3459269Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3459458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3459521Z     return mod(**inputs)
2025-10-10T00:47:00.3459730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3459801Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3460035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3460165Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3460368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3460444Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3460681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3460748Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3460961Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3461033Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3461268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3461332Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3461584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3461653Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3461883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3461956Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3462192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3462334Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3462337Z 
2025-10-10T00:47:00.3462437Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3462621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3462688Z     return mod(**inputs)
2025-10-10T00:47:00.3462892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3462972Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3463208Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3463307Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3463515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3463585Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3463827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3463893Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3464105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3464180Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3464407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3464477Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3464711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3464822Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3465048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3465110Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3465355Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3465503Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3465782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3465891Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3466147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3466222Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3466226Z 
2025-10-10T00:47:00.3466300Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3466406Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3466588Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3466658Z     return mod(**inputs)
2025-10-10T00:47:00.3466865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3466938Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3467182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3467276Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3467489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3467562Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3467808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3467876Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3468084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3468164Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3468387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3468463Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3468699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3468768Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3469002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3469065Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3469304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3469450Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3469718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3469810Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3470060Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3470137Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3470140Z 
2025-10-10T00:47:00.3470237Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3470454Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3470519Z     return mod(**inputs)
2025-10-10T00:47:00.3470721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3470796Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3471029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3471129Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3471332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3471432Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3471672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3471738Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3471952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3472026Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3472255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3472321Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3472555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3472631Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3472862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3472932Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3473165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3473298Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3473301Z 
2025-10-10T00:47:00.3473405Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3473592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3473661Z     return mod(**inputs)
2025-10-10T00:47:00.3473863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3473931Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3474168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3474264Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3474475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3474547Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3474785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3474852Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3475058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3475138Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3475360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3475435Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3475665Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3475734Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3475989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3476054Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3476296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3476441Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3476717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3476796Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3477069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3477148Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3477151Z 
2025-10-10T00:47:00.3477226Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3477330Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3477516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3477578Z     return mod(**inputs)
2025-10-10T00:47:00.3477791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3477863Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3478102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3478195Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3478400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3478475Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3478708Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3478786Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3478993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3479072Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3479298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3479363Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3479602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3479673Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3479903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3479967Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3480200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3480355Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3480630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3480720Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3480963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3481043Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3481048Z 
2025-10-10T00:47:00.3481146Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3481330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3481399Z     return mod(**inputs)
2025-10-10T00:47:00.3481633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3481713Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3481948Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3482039Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3482246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3482313Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3482550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3482645Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3482858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3482935Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3483164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3483235Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3483470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3483544Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3483771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3483833Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3484080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3484217Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3484220Z 
2025-10-10T00:47:00.3484299Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3484399Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3484584Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3484652Z     return mod(**inputs)
2025-10-10T00:47:00.3484855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3484930Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3485164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3485266Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3485471Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3485541Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3485785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3485852Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3486066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3486139Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3486366Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3486437Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3486668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3486747Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3486972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3487034Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3487307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3487402Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3487681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3487811Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3487814Z 
2025-10-10T00:47:00.3487917Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3488099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3488187Z     return mod(**inputs)
2025-10-10T00:47:00.3488398Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3488468Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3488715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3488804Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3489009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3489084Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3489316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3489393Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3489601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3489681Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3489908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3489974Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3490216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3490284Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3490513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3490576Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3490811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3490896Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3490899Z 
2025-10-10T00:47:00.3490994Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3491182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3491243Z     return mod(**inputs)
2025-10-10T00:47:00.3491448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3491525Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3491757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3491855Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3492061Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3492137Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3492375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3492441Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3492658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3492758Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3492990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3493055Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3493290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-10-10T00:47:00.3493373Z     hidden_states = residual + hidden_states
2025-10-10T00:47:00.3493376Z 
2025-10-10T00:47:00.3493471Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3493690Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3493751Z     return mod(**inputs)
2025-10-10T00:47:00.3493960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3494028Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3494263Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3494361Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3494566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3494643Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3494874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3494941Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3495154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3495225Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3495454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3495519Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3495753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3495834Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3496069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3496213Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3496216Z 
2025-10-10T00:47:00.3496310Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3496502Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3496561Z     return mod(**inputs)
2025-10-10T00:47:00.3496762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3496843Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3497074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3497169Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3497371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3497440Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3497682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3497752Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3497967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3498042Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3498373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3498440Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3498685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3498773Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3499023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3499164Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3499210Z 
2025-10-10T00:47:00.3499310Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3499491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3499559Z     return mod(**inputs)
2025-10-10T00:47:00.3499761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3499843Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3500078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3500167Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3500380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3500451Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3500733Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3500806Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3501023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3501097Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3501336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3501410Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3501649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3501729Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3501969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3502107Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3502120Z 
2025-10-10T00:47:00.3502219Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3502407Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3502475Z     return mod(**inputs)
2025-10-10T00:47:00.3502687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3502763Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3503007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3503098Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3503315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3503386Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3503637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3503703Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3503911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3503994Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3504258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3504334Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3504577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3504653Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3504898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3505069Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3505073Z 
2025-10-10T00:47:00.3505179Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3505367Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3505435Z     return mod(**inputs)
2025-10-10T00:47:00.3505646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3505717Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3505964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3506057Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3506270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3506339Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3506583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3506656Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3506865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3506951Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3507181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3507257Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3507497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3507568Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3507807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3507874Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3508122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3508259Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3508262Z 
2025-10-10T00:47:00.3508366Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3508559Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3508621Z     return mod(**inputs)
2025-10-10T00:47:00.3508836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3508905Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3509150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3509247Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3509451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3509529Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3509796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3509872Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3510088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3510160Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3510396Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3510460Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3510711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3510812Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3511042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3511115Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3511358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3511519Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3511795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3511885Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3512141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3512216Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3512219Z 
2025-10-10T00:47:00.3512305Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3512403Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3512598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3512662Z     return mod(**inputs)
2025-10-10T00:47:00.3512880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3512956Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3513187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3513283Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3513487Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3513557Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3513796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3513862Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3514075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3514147Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3514379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3514442Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3514675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3514750Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3514972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3515044Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3515278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3515449Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3515731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3515812Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3516063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3516131Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3516134Z 
2025-10-10T00:47:00.3516233Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3516439Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3516497Z     return mod(**inputs)
2025-10-10T00:47:00.3516706Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3516773Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3517014Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3517104Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3517307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3517381Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3517615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3517691Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3517895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3517971Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3518198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3518261Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3518503Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3518571Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3518800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3518862Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3519097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3519241Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3519244Z 
2025-10-10T00:47:00.3519339Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3519525Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3519588Z     return mod(**inputs)
2025-10-10T00:47:00.3519791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3519868Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3520101Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3520200Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3520402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3520483Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3520717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3520784Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3521051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3521128Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3521367Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3521433Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3521672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3521750Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3521980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3522081Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3522319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3522478Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3522754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3522832Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3523089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3523159Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3523161Z 
2025-10-10T00:47:00.3523242Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3523341Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3523523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3523594Z     return mod(**inputs)
2025-10-10T00:47:00.3523802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3523880Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3524120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3524211Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3524431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3524499Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3524749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3524821Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3525039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3525112Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3525344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3525416Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3525656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3525729Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3525960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3526026Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3526270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3526421Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3526702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3526810Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3527063Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3527131Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3527135Z 
2025-10-10T00:47:00.3527231Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3527416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3527477Z     return mod(**inputs)
2025-10-10T00:47:00.3527725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3527793Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3528024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3528125Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3528329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3528403Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3528635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3528701Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3528911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3528985Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3529212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3529275Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3529512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3529582Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3529803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3529873Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3530104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3530249Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3530252Z 
2025-10-10T00:47:00.3530328Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3530424Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3530613Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3530674Z     return mod(**inputs)
2025-10-10T00:47:00.3530885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3530954Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3531186Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3531284Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3531485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3531562Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3531794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3531870Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3532076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3532149Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3532406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3532472Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3532713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3532781Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3533004Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3533077Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3533341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3533445Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3533718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3533851Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3533854Z 
2025-10-10T00:47:00.3533952Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3534133Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3534203Z     return mod(**inputs)
2025-10-10T00:47:00.3534405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3534481Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3534720Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3534808Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3535021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3535091Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3535332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3535398Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3535613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3535686Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3535912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3535986Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3536218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3536292Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3536519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3536583Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3536817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3536891Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3536894Z 
2025-10-10T00:47:00.3536993Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3537173Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3537237Z     return mod(**inputs)
2025-10-10T00:47:00.3537444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3537511Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3537745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3537858Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3538074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3538147Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3538380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3538454Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3538659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3538771Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3538997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3539061Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3539301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3539378Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3539622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3539757Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3539760Z 
2025-10-10T00:47:00.3539864Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3540046Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3540106Z     return mod(**inputs)
2025-10-10T00:47:00.3540317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3540384Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3540624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3540710Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3540915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3540989Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3541223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3541291Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3541497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3541574Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3541804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3541867Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3542106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3542183Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3542422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3542553Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3542556Z 
2025-10-10T00:47:00.3542648Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3542838Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3542898Z     return mod(**inputs)
2025-10-10T00:47:00.3543103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3543173Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3543435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3543534Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3543742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3543817Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3544048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3544121Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3544356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3544427Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3544656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3544723Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3544963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3545035Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3545268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3545406Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3545409Z 
2025-10-10T00:47:00.3545507Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3545694Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3545755Z     return mod(**inputs)
2025-10-10T00:47:00.3545955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3546030Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3546265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3546362Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3546565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3546638Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3546871Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3546939Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3547159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3547230Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3547462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3547525Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3547757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3547834Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3548064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3548199Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3548205Z 
2025-10-10T00:47:00.3548302Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3548491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3548547Z     return mod(**inputs)
2025-10-10T00:47:00.3548785Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3548868Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3549104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3549207Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3549414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3549486Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3549729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3549826Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3550043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3550116Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3550344Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3550415Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3550651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3550725Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3550951Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3551018Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3551256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3551393Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3551396Z 
2025-10-10T00:47:00.3551498Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3551682Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3551750Z     return mod(**inputs)
2025-10-10T00:47:00.3551957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3552025Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3552269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3552360Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3552577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3552646Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3552891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3552958Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3553169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3553251Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3553476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3553549Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3553783Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3553855Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3554090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3554155Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3554393Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3554566Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3554840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3554932Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3555180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3555258Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3555288Z 
2025-10-10T00:47:00.3555363Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3555464Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3555647Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3555707Z     return mod(**inputs)
2025-10-10T00:47:00.3555921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3555990Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3556235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3556325Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3556532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3556605Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3556844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3556917Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3557121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3557206Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3557434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3557498Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3557743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3557809Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3558043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3558109Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3558345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3558499Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3558774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3558861Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3559110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3559178Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3559189Z 
2025-10-10T00:47:00.3559285Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3559464Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3559533Z     return mod(**inputs)
2025-10-10T00:47:00.3559737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3559813Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3560076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3560169Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3560382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3560451Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3560692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3560757Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3560965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3561074Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3561306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3561377Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3561613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3561690Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3561913Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3561978Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3562219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3562352Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3562358Z 
2025-10-10T00:47:00.3562465Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3562645Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3562708Z     return mod(**inputs)
2025-10-10T00:47:00.3562921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3562992Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3563231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3563319Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3563525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3563594Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3563829Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3563903Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3564111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3564191Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3564414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3564478Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3564715Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3564782Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3565011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3565078Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3565309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3565465Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3565759Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3565850Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3566095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3566173Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3566176Z 
2025-10-10T00:47:00.3566249Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3566344Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3566533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3566624Z     return mod(**inputs)
2025-10-10T00:47:00.3566832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3566901Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3567137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3567236Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3567443Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3567518Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3567755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3567823Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3568040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3568113Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3568345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3568413Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3568654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3568722Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3568946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3569017Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3569248Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3569407Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3569675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3569753Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3570006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3570074Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3570077Z 
2025-10-10T00:47:00.3570183Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3570363Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3570431Z     return mod(**inputs)
2025-10-10T00:47:00.3570632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3570705Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3570946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3571036Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3571283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3571353Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3571585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3571659Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3571863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3571945Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3572167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3572261Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3572502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3572569Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3572804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3572868Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3573106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3573243Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3573246Z 
2025-10-10T00:47:00.3573322Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3573425Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3573611Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3573679Z     return mod(**inputs)
2025-10-10T00:47:00.3573882Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3573950Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3574190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3574281Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3574494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3574562Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3574804Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3574875Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3575081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3575161Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3575386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3575460Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3575694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3575762Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3575992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3576055Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3576295Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3576393Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3576667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3576826Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3576829Z 
2025-10-10T00:47:00.3576928Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3577120Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3577180Z     return mod(**inputs)
2025-10-10T00:47:00.3577390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3577458Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3577697Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3577826Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3578028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3578108Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3578341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3578408Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3578621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3578695Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3578928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3578990Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3579234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3579303Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3579525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3579601Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3579832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3579915Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3579918Z 
2025-10-10T00:47:00.3580013Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3580195Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3580263Z     return mod(**inputs)
2025-10-10T00:47:00.3580465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3580543Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3580776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3580864Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3581076Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3581146Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3581385Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3581452Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3581662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3581738Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3581969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3582042Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3582274Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-10-10T00:47:00.3582383Z     hidden_states = residual + hidden_states
2025-10-10T00:47:00.3582386Z 
2025-10-10T00:47:00.3582483Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3582666Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3582732Z     return mod(**inputs)
2025-10-10T00:47:00.3582933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3583007Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3583242Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3583370Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3583574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3583642Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3583885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3583951Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3584165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3584241Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3584467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3584539Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3584775Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3584858Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3585089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3585232Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3585243Z 
2025-10-10T00:47:00.3585341Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3585520Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3585590Z     return mod(**inputs)
2025-10-10T00:47:00.3585797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3585874Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3586111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3586201Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3586410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3586483Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3586721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3586788Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3586991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3587071Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3587296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3587370Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3587603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3587679Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3587940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3588076Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3588079Z 
2025-10-10T00:47:00.3588184Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3588368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3588435Z     return mod(**inputs)
2025-10-10T00:47:00.3588641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3588747Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3588992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3589082Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3589296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3589367Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3589600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3589672Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3589877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3589964Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3590192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3590267Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3590499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3590572Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3590817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3590950Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3590953Z 
2025-10-10T00:47:00.3591050Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3591227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3591288Z     return mod(**inputs)
2025-10-10T00:47:00.3591495Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3591561Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3591798Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3591887Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3592092Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3592160Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3592391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3592462Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3592663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3592736Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3592962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3593022Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3593254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3593359Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3593593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3593721Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3593724Z 
2025-10-10T00:47:00.3593819Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3594000Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3594059Z     return mod(**inputs)
2025-10-10T00:47:00.3594266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3594359Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3594594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3594684Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3594890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3594967Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3595200Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3595273Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3595474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3595543Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3595778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3595841Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3596075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3596149Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3596379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3596440Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3596671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3596813Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3596816Z 
2025-10-10T00:47:00.3596909Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3597099Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3597159Z     return mod(**inputs)
2025-10-10T00:47:00.3597363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3597440Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3597668Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3597761Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3597966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3598034Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3598312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3598384Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3598597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3598669Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3598953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3599021Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3599262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3599334Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3599569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3599641Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3599875Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3600071Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3600352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3600438Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3600694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3600766Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3600769Z 
2025-10-10T00:47:00.3600850Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3600944Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3601124Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3601186Z     return mod(**inputs)
2025-10-10T00:47:00.3601395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3601475Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3601716Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3601810Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3602025Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3602093Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3602337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3602402Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3602611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3602698Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3602926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3602996Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3603236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3603315Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3603540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3603605Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3603848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3603999Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3604280Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3604362Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3604612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3604719Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3604722Z 
2025-10-10T00:47:00.3604820Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3605009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3605073Z     return mod(**inputs)
2025-10-10T00:47:00.3605283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3605353Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3605592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3605718Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3605924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3606003Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3606240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3606310Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3606529Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3606601Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3606833Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3606901Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3607136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3607215Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3607448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3607521Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3607762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3607904Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3607907Z 
2025-10-10T00:47:00.3608005Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3608189Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3608254Z     return mod(**inputs)
2025-10-10T00:47:00.3608464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3608539Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3608777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3608869Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3609082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3609150Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3609394Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3609464Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3609679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3609757Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3609987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3610055Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3610342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3610416Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3610651Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3610712Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3610956Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3611106Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3611429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3611508Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3611767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3611841Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3611844Z 
2025-10-10T00:47:00.3611918Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3612021Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3612216Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3612284Z     return mod(**inputs)
2025-10-10T00:47:00.3612486Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3612554Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3612796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3612886Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3613097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3613169Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3613406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3613480Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3613685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3613765Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3613991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3614066Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3614300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3614367Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3614600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3614661Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3614902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3615047Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3615316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3615403Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3615653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3615724Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3615726Z 
2025-10-10T00:47:00.3615823Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3616035Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3616098Z     return mod(**inputs)
2025-10-10T00:47:00.3616307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3616381Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3616621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3616718Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3616950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3617020Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3617257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3617326Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3617540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3617612Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3617835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3617902Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3618130Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3618210Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3618431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3618502Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3618735Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3618872Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3618875Z 
2025-10-10T00:47:00.3618953Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3619048Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3619233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3619294Z     return mod(**inputs)
2025-10-10T00:47:00.3619496Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3619571Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3619802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3619899Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3620106Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3620172Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3620406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3620474Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3620684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3620759Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3620983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3621049Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3621282Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3621352Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3621601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3621674Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3621906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3621997Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3622273Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3622426Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3622429Z 
2025-10-10T00:47:00.3622531Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3622714Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3622782Z     return mod(**inputs)
2025-10-10T00:47:00.3622990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3623058Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3623298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3623385Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3623597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3623666Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3623907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3623979Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3624178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3624259Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3624481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3624544Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3624781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3624845Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3625074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3625140Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3625375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3625451Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3625454Z 
2025-10-10T00:47:00.3625553Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3625739Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3625799Z     return mod(**inputs)
2025-10-10T00:47:00.3626005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3626074Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3626301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3626398Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3626603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3626676Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3626939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3627014Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3627214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3627288Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3627521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3627581Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3627818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3627920Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3628157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3628297Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3628303Z 
2025-10-10T00:47:00.3628400Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3628591Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3628651Z     return mod(**inputs)
2025-10-10T00:47:00.3628856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3628932Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3629165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3629262Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3629467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3629541Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3629780Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3629847Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3630057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3630130Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3630361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3630426Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3630660Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3630746Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3630983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3631119Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3631122Z 
2025-10-10T00:47:00.3631214Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3631395Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3631452Z     return mod(**inputs)
2025-10-10T00:47:00.3631656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3631726Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3631960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3632062Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3632267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3632333Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3632613Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3632678Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3632885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3632957Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3633182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3633250Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3633510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3633594Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3633825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3633963Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3633966Z 
2025-10-10T00:47:00.3634061Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3634242Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3634310Z     return mod(**inputs)
2025-10-10T00:47:00.3634513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3634587Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3634822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3634908Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3635114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3635184Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3635424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3635492Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3635698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3635770Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3635995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3636067Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3636299Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3636379Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3636612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3636741Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3636752Z 
2025-10-10T00:47:00.3636848Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3637029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3637092Z     return mod(**inputs)
2025-10-10T00:47:00.3637291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3637370Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3637603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3637692Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3637926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3637998Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3638240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3638306Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3638512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3638591Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3638816Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3638917Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3639147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3639216Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3639447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3639508Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3639746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3639881Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3639885Z 
2025-10-10T00:47:00.3639987Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3640168Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3640228Z     return mod(**inputs)
2025-10-10T00:47:00.3640438Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3640508Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3640749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3640838Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3641040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3641114Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3641347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3641420Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3641628Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3641699Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3641922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3641986Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3642230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3642298Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3642526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3642589Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3642821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3642976Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3643244Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3643332Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3643603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3643671Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3643681Z 
2025-10-10T00:47:00.3643751Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3643846Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3644039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3644101Z     return mod(**inputs)
2025-10-10T00:47:00.3644316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3644412Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3644647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3644746Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3644954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3645031Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3645262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3645329Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3645543Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3645617Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3645851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3645918Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3646159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3646231Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3646454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3646525Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3646758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3646908Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3647178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3647264Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3647517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3647587Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3647590Z 
2025-10-10T00:47:00.3647697Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3647879Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3647950Z     return mod(**inputs)
2025-10-10T00:47:00.3648154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3648224Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3648465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3648559Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3648769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3648839Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3649104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3649183Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3649392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3649472Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3649700Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3649765Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3650007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3650110Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3650343Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3650410Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3650656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3650789Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3650792Z 
2025-10-10T00:47:00.3650890Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3651082Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3651142Z     return mod(**inputs)
2025-10-10T00:47:00.3651352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3651426Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3651659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3651757Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3651963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3652039Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3652276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3652342Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3652559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3652634Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3652868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3652934Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3653179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3653251Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3653476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3653547Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3653778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3653934Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3654202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3654285Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3654540Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3654611Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3654614Z 
2025-10-10T00:47:00.3654729Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3654828Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3655018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3655080Z     return mod(**inputs)
2025-10-10T00:47:00.3655288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3655366Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3655602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3655732Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3655936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3656008Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3656251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3656319Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3656532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3656605Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3656828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3656900Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3657135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3657215Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3657442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3657519Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3657753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3657897Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3658179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3658264Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3658516Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3658590Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3658593Z 
2025-10-10T00:47:00.3658691Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3658882Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3658945Z     return mod(**inputs)
2025-10-10T00:47:00.3659157Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3659227Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3659464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3659556Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3659758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3659841Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3660073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3660149Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3660384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3660461Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3660694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3660759Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3661000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3661069Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3661294Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3661399Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3661633Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3661781Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3661785Z 
2025-10-10T00:47:00.3661860Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3661966Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3662150Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3662212Z     return mod(**inputs)
2025-10-10T00:47:00.3662427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3662497Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3662743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3662833Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3663038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3663118Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3663356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3663430Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3663635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3663720Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3663943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3664011Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3664255Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3664323Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3664555Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3664620Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3664853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3664955Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3665226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3665360Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3665366Z 
2025-10-10T00:47:00.3665463Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3665653Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3665715Z     return mod(**inputs)
2025-10-10T00:47:00.3665944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3666025Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3666259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3666355Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3666559Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3666630Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3666868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3667202Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3667417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3667491Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3667722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3667795Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3668032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3668113Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3668340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3668414Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3668650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3668728Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3668732Z 
2025-10-10T00:47:00.3668839Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3669023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3669095Z     return mod(**inputs)
2025-10-10T00:47:00.3669300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3669370Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3669615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3669707Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3669924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3669999Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3670238Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3670316Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3670528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3670611Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3670839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3670910Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3671143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-10-10T00:47:00.3671219Z     hidden_states = residual + hidden_states
2025-10-10T00:47:00.3671225Z 
2025-10-10T00:47:00.3671330Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3671511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3671582Z     return mod(**inputs)
2025-10-10T00:47:00.3671814Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3671886Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3672134Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3672227Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3672446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3672514Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3672747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3672867Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3673075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3673156Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3673389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3673461Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3673699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3673775Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3674022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3674159Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3674165Z 
2025-10-10T00:47:00.3674271Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3674455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3674518Z     return mod(**inputs)
2025-10-10T00:47:00.3674736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3674806Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3675057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3675147Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3675363Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3675434Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3675675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3675752Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3675960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3676041Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3676270Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3676335Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3676579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3676654Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3676897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3677034Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3677037Z 
2025-10-10T00:47:00.3677138Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3677320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3677411Z     return mod(**inputs)
2025-10-10T00:47:00.3677625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3677693Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3677939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3678030Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3678236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3678342Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3678579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3678652Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3678861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3678934Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3679168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3679233Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3679475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3679547Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3679789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3679926Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3679929Z 
2025-10-10T00:47:00.3680024Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3680214Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3680276Z     return mod(**inputs)
2025-10-10T00:47:00.3680488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3680558Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3680795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3680893Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3681098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3681178Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3681412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3681485Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3681696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3681768Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3682002Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3682065Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3682312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3682386Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3682622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3682764Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3682767Z 
2025-10-10T00:47:00.3682862Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3683104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3683167Z     return mod(**inputs)
2025-10-10T00:47:00.3683372Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3683453Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3683688Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3683787Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3683992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3684099Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3684331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3684398Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3684619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3684693Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3684929Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3684994Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3685226Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3685308Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3685532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3685605Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3685840Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3685988Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3685991Z 
2025-10-10T00:47:00.3686090Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3686274Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3686347Z     return mod(**inputs)
2025-10-10T00:47:00.3686553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3686636Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3686870Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3686960Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3687174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3687249Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3687488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3687556Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3687760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3687842Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3688067Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3688144Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3688378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3688458Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3688711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3688777Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3689021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3689169Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3689448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3689528Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3689823Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3689902Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3689905Z 
2025-10-10T00:47:00.3689980Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3690090Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3690273Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3690344Z     return mod(**inputs)
2025-10-10T00:47:00.3690552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3690622Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3690868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3690960Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3691178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3691249Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3691484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3691561Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3691770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3691851Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3692080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3692144Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3692386Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3692457Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3692692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3692758Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3693006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3693153Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3693425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3693514Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3693762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3693842Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3693845Z 
2025-10-10T00:47:00.3693941Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3694126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3694195Z     return mod(**inputs)
2025-10-10T00:47:00.3694430Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3694510Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3694741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3694842Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3695044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3695113Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3695412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3695479Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3695694Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3695769Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3695994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3696067Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3696298Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3696374Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3696597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3696665Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3696904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3697037Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3697040Z 
2025-10-10T00:47:00.3697151Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3697335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3697409Z     return mod(**inputs)
2025-10-10T00:47:00.3697618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3697689Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3697939Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3698032Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3698301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3698375Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3698618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3698701Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3698914Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3698998Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3699240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3699317Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3699553Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3699627Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3699863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3699929Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3700218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3700372Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3700647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3700739Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3700990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3701113Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3701116Z 
2025-10-10T00:47:00.3701191Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3701295Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3701483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3701546Z     return mod(**inputs)
2025-10-10T00:47:00.3701772Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3701843Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3702095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3702189Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3702399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3702482Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3702725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3702804Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3703016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3703096Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3703335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3703401Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3703653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3703724Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3703960Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3704029Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3704268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3704424Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3704704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3704795Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3705046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3705119Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3705129Z 
2025-10-10T00:47:00.3705227Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3705413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3705486Z     return mod(**inputs)
2025-10-10T00:47:00.3705693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3705771Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3706036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3706133Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3706352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3706425Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3706673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3706743Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3706985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3707067Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3707297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3707371Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3707611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3707680Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3707915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3707981Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3708230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3708377Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3708380Z 
2025-10-10T00:47:00.3708465Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3708564Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3708754Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3708825Z     return mod(**inputs)
2025-10-10T00:47:00.3709031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3709113Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3709353Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3709447Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3709667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3709740Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3709991Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3710060Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3710276Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3710364Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3710595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3710670Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3710912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3710989Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3711220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3711290Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3711538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3711911Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3712214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3712343Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3712347Z 
2025-10-10T00:47:00.3712446Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3712640Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3712703Z     return mod(**inputs)
2025-10-10T00:47:00.3712918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3713020Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3713266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3713360Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3713572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3713657Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3713893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3713972Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3714184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3714259Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3714502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3714569Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3714813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3714887Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3715115Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3715191Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3715429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3715513Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3715516Z 
2025-10-10T00:47:00.3715614Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3715809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3715871Z     return mod(**inputs)
2025-10-10T00:47:00.3716077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3716155Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3716391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3716492Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3716698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3716768Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3717012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3717082Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3717296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3717369Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3717639Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3717708Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3717944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3718030Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3718267Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3718414Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3718416Z 
2025-10-10T00:47:00.3718542Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3718725Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3718795Z     return mod(**inputs)
2025-10-10T00:47:00.3719000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3719079Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3719314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3719413Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3719618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3719688Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3719928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3719998Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3720216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3720287Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3720515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3720587Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3720821Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3720903Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3721139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3721273Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3721286Z 
2025-10-10T00:47:00.3721382Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3721565Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3721634Z     return mod(**inputs)
2025-10-10T00:47:00.3721841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3721916Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3722153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3722243Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3722457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3722527Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3722770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3722840Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3723044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3723124Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3723382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3723455Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3723689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3723766Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3724012Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3724145Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3724175Z 
2025-10-10T00:47:00.3724281Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3724463Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3724531Z     return mod(**inputs)
2025-10-10T00:47:00.3724736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3724807Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3725048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3725141Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3725352Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3725423Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3725659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3725734Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3725943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3726029Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3726257Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3726329Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3726566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3726642Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3726886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3727020Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3727022Z 
2025-10-10T00:47:00.3727127Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3727312Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3727378Z     return mod(**inputs)
2025-10-10T00:47:00.3727591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3727659Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3727902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3727992Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3728205Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3728277Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3728510Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3728591Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3728826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3728910Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3729135Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3729197Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3729441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3729514Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3729743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3729839Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3730072Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3730216Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3730221Z 
2025-10-10T00:47:00.3730320Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3730510Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3730573Z     return mod(**inputs)
2025-10-10T00:47:00.3730787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3730857Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3731091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3731195Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3731401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3731480Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3731717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3731787Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3732005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3732078Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3732312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3732376Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3732616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3732690Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3732915Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3732990Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3733227Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3733385Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3733653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3733735Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3733986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3734062Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3734065Z 
2025-10-10T00:47:00.3734145Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3734242Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3734458Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3734520Z     return mod(**inputs)
2025-10-10T00:47:00.3734726Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3734804Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3735043Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3735145Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3735354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3735456Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3735699Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3735767Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3735981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3736057Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3736279Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3736353Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3736584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3736659Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3736886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3736958Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3737190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3737337Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3737612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3737693Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3737949Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3738019Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3738022Z 
2025-10-10T00:47:00.3738117Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3738310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3738371Z     return mod(**inputs)
2025-10-10T00:47:00.3738582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3738654Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3738891Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3738989Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3739194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3739272Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3739504Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3739583Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3739790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3739862Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3740129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3740195Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3740442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3740511Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3740739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3740813Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3741052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3741225Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3741228Z 
2025-10-10T00:47:00.3741325Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3741516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3741578Z     return mod(**inputs)
2025-10-10T00:47:00.3741781Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3741860Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3742091Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3742188Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3742397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3742470Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3742712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3742782Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3742999Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3743071Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3743297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3743370Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3743603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3743680Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3743907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3743978Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3744210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3744359Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3744635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3744715Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3744973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3745045Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3745048Z 
2025-10-10T00:47:00.3745121Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3745231Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3745413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3745480Z     return mod(**inputs)
2025-10-10T00:47:00.3745708Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3745786Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3746017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3746108Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3746323Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3746394Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3746635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3746734Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3746945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3747029Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3747259Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3747330Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3747569Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3747638Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3747877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3747943Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3748194Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3748344Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3748629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3748709Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3748959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3749036Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3749039Z 
2025-10-10T00:47:00.3749134Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3749326Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3749386Z     return mod(**inputs)
2025-10-10T00:47:00.3749597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3749673Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3749911Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3750012Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3750223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3750300Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3750539Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3750606Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3750827Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3750903Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3751140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3751205Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3751473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3751551Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3751776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3751850Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3752084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3752222Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3752461Z 
2025-10-10T00:47:00.3752539Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3752637Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3752829Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3752891Z     return mod(**inputs)
2025-10-10T00:47:00.3753107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3753178Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3753414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3753519Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3753728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3753811Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3754052Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3754121Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3754340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3754419Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3754658Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3754725Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3754976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3755047Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3755277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3755356Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3755593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3755695Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3755972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3756097Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3756100Z 
2025-10-10T00:47:00.3756204Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3756388Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3756458Z     return mod(**inputs)
2025-10-10T00:47:00.3756661Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3756735Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3756977Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3757066Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3757315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3757390Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3757641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3757710Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3757921Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3758006Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3758237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3758352Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3758602Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3758672Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3758920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3758988Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3759245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3759325Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3759328Z 
2025-10-10T00:47:00.3759433Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3759622Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3759688Z     return mod(**inputs)
2025-10-10T00:47:00.3759910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3759981Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3760236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3760333Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3760550Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3760628Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3760876Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3760953Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3761168Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3761246Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3761490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3761556Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3761817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-10-10T00:47:00.3761894Z     hidden_states = residual + hidden_states
2025-10-10T00:47:00.3761897Z 
2025-10-10T00:47:00.3762003Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3762190Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3762252Z     return mod(**inputs)
2025-10-10T00:47:00.3762474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3762547Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3762800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3762894Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3763136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3763222Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3763466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3763544Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3763758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3763834Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3764074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3764173Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3764422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3764499Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3764750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3764892Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3764895Z 
2025-10-10T00:47:00.3764994Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3765191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3765253Z     return mod(**inputs)
2025-10-10T00:47:00.3765473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3765548Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3765792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3765893Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3766105Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3766187Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3766425Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3766503Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3766714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3766789Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3767032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3767098Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3767347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3767426Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3767663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3767810Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3767813Z 
2025-10-10T00:47:00.3767912Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3768109Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3768173Z     return mod(**inputs)
2025-10-10T00:47:00.3768391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3768463Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3768708Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3768838Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3769051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3769131Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3769371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3769439Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3769659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3769768Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3770009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3770075Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3770317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3770404Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3770643Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3770788Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3770791Z 
2025-10-10T00:47:00.3770889Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3771083Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3771150Z     return mod(**inputs)
2025-10-10T00:47:00.3771359Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3771439Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3771682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3771782Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3771992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3772064Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3772312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3772379Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3772599Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3772678Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3772916Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3772982Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3773223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3773309Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3773548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3773690Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3773693Z 
2025-10-10T00:47:00.3773790Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3773974Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3774047Z     return mod(**inputs)
2025-10-10T00:47:00.3774254Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3774334Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3774603Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3774704Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3774912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3774982Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3775230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3775298Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3775518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3775620Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3775852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3775930Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3776178Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3776257Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3776489Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3776553Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3776802Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3776946Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3776949Z 
2025-10-10T00:47:00.3777054Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3777241Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3777310Z     return mod(**inputs)
2025-10-10T00:47:00.3777523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3777593Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3777841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3777934Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3778148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3778217Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3778460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3778538Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3778750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3778836Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3779066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3779132Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3779377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3779447Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3779684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3779752Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3779997Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3780150Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3780455Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3780550Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3780806Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3780885Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3780888Z 
2025-10-10T00:47:00.3780965Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3781062Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3781295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3781359Z     return mod(**inputs)
2025-10-10T00:47:00.3781578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3781648Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3781902Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3781999Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3782213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3782295Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3782537Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3782619Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3782835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3782910Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3783151Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3783222Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3783472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3783540Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3783773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3783847Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3784085Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3784246Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3784526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3784614Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3784872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3784943Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3784946Z 
2025-10-10T00:47:00.3785053Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3785239Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3785311Z     return mod(**inputs)
2025-10-10T00:47:00.3785523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3785598Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3785848Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3785942Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3786191Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3786266Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3786515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3786587Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3786800Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3786884Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3787159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3787235Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3787478Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3787552Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3787799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3787866Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3788116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3788253Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3788256Z 
2025-10-10T00:47:00.3788362Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3788554Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3788616Z     return mod(**inputs)
2025-10-10T00:47:00.3788837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3788910Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3789164Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3789259Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3789470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3789549Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3789794Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3789872Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3790089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3790164Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3790406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3790474Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3790722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3790795Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3791032Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3791097Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3791339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3791499Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3791777Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3791867Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3792150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3792223Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3792234Z 
2025-10-10T00:47:00.3792310Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3792409Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3792604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3792666Z     return mod(**inputs)
2025-10-10T00:47:00.3792879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3792979Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3793220Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3793326Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3793536Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3793614Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3793856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3793925Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3794143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3794224Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3794462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3794528Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3794770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3794846Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3795075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3795148Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3795387Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3795543Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3795818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3795903Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3796169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3796243Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3796246Z 
2025-10-10T00:47:00.3796354Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3796543Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3796606Z     return mod(**inputs)
2025-10-10T00:47:00.3796820Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3796892Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3797141Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3797237Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3797453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3797526Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3798124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3798248Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3798464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3798549Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3798787Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3798855Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3799179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3799252Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3799494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3799563Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3799812Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3799962Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3799965Z 
2025-10-10T00:47:00.3800043Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3800154Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3800347Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3800424Z     return mod(**inputs)
2025-10-10T00:47:00.3800641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3800712Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3800968Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3801064Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3801288Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3801362Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3801612Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3801692Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3801908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3801998Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3802234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3802302Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3802562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3802637Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3802879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3802946Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3803202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3803301Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3803588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3803728Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3803731Z 
2025-10-10T00:47:00.3803832Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3804080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3804147Z     return mod(**inputs)
2025-10-10T00:47:00.3804361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3804444Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3804693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3804796Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3805040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3805118Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3805368Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3805438Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3805666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3805743Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3805989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3806059Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3806306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3806388Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3806622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3806697Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3806945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3807027Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3807039Z 
2025-10-10T00:47:00.3807139Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3807330Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3807404Z     return mod(**inputs)
2025-10-10T00:47:00.3807617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3807694Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3807943Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3808041Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3808272Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3808345Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3808588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3808655Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3808858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3808939Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3809163Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3809236Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3809473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3809556Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3809817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3809955Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3809958Z 
2025-10-10T00:47:00.3810062Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3810246Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3810316Z     return mod(**inputs)
2025-10-10T00:47:00.3810524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3810592Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3810862Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3810952Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3811167Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3811241Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3811477Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3811559Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3811767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3811849Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3812075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3812152Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3812388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3812463Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3812710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3812846Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3812848Z 
2025-10-10T00:47:00.3812953Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3813136Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3813197Z     return mod(**inputs)
2025-10-10T00:47:00.3813410Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3813482Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3813725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3813815Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3814029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3814101Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3814336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3814412Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3814618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3814702Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3814928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3814995Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3815240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3815315Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3815582Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3815718Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3815721Z 
2025-10-10T00:47:00.3815824Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3816010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3816073Z     return mod(**inputs)
2025-10-10T00:47:00.3816287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3816388Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3816632Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3816722Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3816928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3817006Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3817239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3817313Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3817519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3817593Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3817828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3817892Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3818136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3818212Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3818451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3818581Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3818584Z 
2025-10-10T00:47:00.3818681Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3818871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3818931Z     return mod(**inputs)
2025-10-10T00:47:00.3819147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3819214Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3819446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3819545Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3819747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3819826Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3820057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3820131Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3820336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3820411Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3820642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3820706Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3820973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3821045Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3821269Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3821342Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3821576Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3821720Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3821723Z 
2025-10-10T00:47:00.3821844Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3822033Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3822096Z     return mod(**inputs)
2025-10-10T00:47:00.3822302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3822384Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3822621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3822718Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3822923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3822991Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3823237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3823309Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3823525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3823601Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3823831Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3823906Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3824142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3824218Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3824446Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3824518Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3824755Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3824904Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3825187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3825271Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3825530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3825601Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3825604Z 
2025-10-10T00:47:00.3825682Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3825786Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3825969Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3826042Z     return mod(**inputs)
2025-10-10T00:47:00.3826249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3826319Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3826598Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3826691Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3826903Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3826972Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3827213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3827282Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3827490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3827599Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3827825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3827901Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3828138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3828206Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3828441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3828507Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3828748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3828893Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3829177Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3829260Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3829508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3829586Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3829589Z 
2025-10-10T00:47:00.3829685Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3829871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3829932Z     return mod(**inputs)
2025-10-10T00:47:00.3830136Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3830214Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3830452Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3830549Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3830754Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3830827Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3831066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3831136Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3831350Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3831421Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3831654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3831720Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3831953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3832031Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3832285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3832361Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3832595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3832726Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3832736Z 
2025-10-10T00:47:00.3832834Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3833014Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3833111Z     return mod(**inputs)
2025-10-10T00:47:00.3833319Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3833397Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3833641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3833735Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3833952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3834021Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3834268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3834336Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3834545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3834631Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3834863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3834935Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3835176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3835247Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3835484Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3835550Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3835801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3835951Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3836239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3836321Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3836577Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3836654Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3836657Z 
2025-10-10T00:47:00.3836732Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3836839Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3837023Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3837085Z     return mod(**inputs)
2025-10-10T00:47:00.3837307Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3837381Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3837634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3837726Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3837969Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3838042Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3838277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3838353Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3838558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3838641Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3838868Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3839142Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3839401Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3839473Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3839714Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3839782Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3840021Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3840183Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3840457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3840556Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3840807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3840888Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3840891Z 
2025-10-10T00:47:00.3840994Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3841178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3841252Z     return mod(**inputs)
2025-10-10T00:47:00.3841462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3841543Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3841786Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3841878Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3842102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3842174Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3842424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3842497Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3842719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3842792Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3843024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3843099Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3843335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3843415Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3843644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3843708Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3843986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3844125Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3844128Z 
2025-10-10T00:47:00.3844212Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3844308Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3844500Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3844561Z     return mod(**inputs)
2025-10-10T00:47:00.3844765Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3844877Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3845108Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3845205Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3845411Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3845481Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3845723Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3845791Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3846003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3846078Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3846303Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3846376Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3846611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3846688Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3846910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3846979Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3847211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3847303Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3847583Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3847712Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3847715Z 
2025-10-10T00:47:00.3847819Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3848002Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3848065Z     return mod(**inputs)
2025-10-10T00:47:00.3848277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3848348Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3848588Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3848679Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3848883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3848963Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3849199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3849271Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3849501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3849584Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3849813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3849879Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3850121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3850188Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3850420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3850513Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3850749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3850833Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3850836Z 
2025-10-10T00:47:00.3850936Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3851126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3851187Z     return mod(**inputs)
2025-10-10T00:47:00.3851399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3851469Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3851702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3851802Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3852005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3852084Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3852321Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3852389Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3852605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3852678Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3852912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3852977Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3853212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-10-10T00:47:00.3853301Z     hidden_states = residual + hidden_states
2025-10-10T00:47:00.3853304Z 
2025-10-10T00:47:00.3853402Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3853592Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3853656Z     return mod(**inputs)
2025-10-10T00:47:00.3853869Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3853938Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3854174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3854272Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3854476Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3854557Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3854792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3854861Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3855102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3855176Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3855409Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3855474Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3855709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3855793Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3856024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3856196Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3856199Z 
2025-10-10T00:47:00.3856295Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3856491Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3856552Z     return mod(**inputs)
2025-10-10T00:47:00.3856757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3856834Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3857070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3857171Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3857377Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3857449Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3857689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3857758Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3857976Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3858049Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3858285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3858351Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3858584Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3858667Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3858906Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3859050Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3859052Z 
2025-10-10T00:47:00.3859151Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3859335Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3859405Z     return mod(**inputs)
2025-10-10T00:47:00.3859609Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3859684Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3859918Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3860016Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3860224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3860293Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3860538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3860629Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3860844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3860917Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3861143Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3861218Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3861453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3861568Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3861807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3861941Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3861950Z 
2025-10-10T00:47:00.3862052Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3862238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3862307Z     return mod(**inputs)
2025-10-10T00:47:00.3862513Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3862589Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3862830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3862925Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3863140Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3863208Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3863457Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3863525Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3863738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3863823Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3864055Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3864129Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3864369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3864457Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3864701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3864838Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3864843Z 
2025-10-10T00:47:00.3864948Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3865132Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3865201Z     return mod(**inputs)
2025-10-10T00:47:00.3865413Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3865482Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3865728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3865823Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3866038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3866110Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3866373Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3866454Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3866662Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3866745Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3866970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3867042Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3867278Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3867387Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3867621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3867687Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3867937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3868073Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3868076Z 
2025-10-10T00:47:00.3868174Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3868362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3868422Z     return mod(**inputs)
2025-10-10T00:47:00.3868636Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3868709Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3868954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3869045Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3869252Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3869331Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3869567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3869643Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3869853Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3869926Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3870165Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3870230Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3870473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3870546Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3870773Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3870846Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3871081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3871237Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3871508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3871599Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3871847Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3871916Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3871945Z 
2025-10-10T00:47:00.3872031Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3872134Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3872327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3872392Z     return mod(**inputs)
2025-10-10T00:47:00.3872600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3872683Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3872924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3873052Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3873256Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3873332Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3873571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3873638Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3873852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3873925Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3874160Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3874228Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3874462Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3874539Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3874763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3874837Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3875070Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3875217Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3875499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3875581Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3875839Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3875911Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3875914Z 
2025-10-10T00:47:00.3876014Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3876199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3876258Z     return mod(**inputs)
2025-10-10T00:47:00.3876469Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3876537Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3876778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3876870Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3877073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3877152Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3877388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3877465Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3877707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3877791Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3878020Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3878085Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3878331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3878400Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3878663Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3878729Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3878965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3879111Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3879114Z 
2025-10-10T00:47:00.3879213Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3879408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3879470Z     return mod(**inputs)
2025-10-10T00:47:00.3879684Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3879755Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3879993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3880098Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3880306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3880385Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3880625Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3880695Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3880912Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3880986Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3881219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3881286Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3881523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3881602Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3881826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3881905Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3882139Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3882295Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3882566Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3882647Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3882900Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3882973Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3882977Z 
2025-10-10T00:47:00.3883058Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3883156Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3883485Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3883561Z     return mod(**inputs)
2025-10-10T00:47:00.3883770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3883854Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3884088Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3884189Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3884421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3884495Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3884741Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3884814Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3885033Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3885110Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3885340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3885419Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3885654Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3885735Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3885959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3886023Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3886266Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3886414Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3886692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3886772Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3887029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3887098Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3887103Z 
2025-10-10T00:47:00.3887200Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3887392Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3887454Z     return mod(**inputs)
2025-10-10T00:47:00.3887671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3887744Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3887979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3888075Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3888281Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3888355Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3888592Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3888670Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3888877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3888951Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3889214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3889281Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3889525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3889594Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3889817Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3889891Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3890148Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3890294Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3890297Z 
2025-10-10T00:47:00.3890373Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3890471Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3890665Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3890726Z     return mod(**inputs)
2025-10-10T00:47:00.3890937Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3891007Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3891249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3891340Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3891548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3891626Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3891864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3891942Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3892149Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3892221Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3892454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3892520Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3892764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3892837Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3893062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3893138Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3893379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3893482Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3893756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3893893Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3893897Z 
2025-10-10T00:47:00.3893992Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3894178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3894252Z     return mod(**inputs)
2025-10-10T00:47:00.3894454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3894533Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3894789Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3894884Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3895097Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3895171Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3895412Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3895481Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3895719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3895795Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3896019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3896092Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3896327Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3896405Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3896629Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3896694Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3896936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3897015Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3897018Z 
2025-10-10T00:47:00.3897123Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3897304Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3897367Z     return mod(**inputs)
2025-10-10T00:47:00.3897580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3897650Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3897935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3898030Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3898283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3898356Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3898605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3898679Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3898893Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3898977Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3899217Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3899281Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3899523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3899600Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3899851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3899995Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3899998Z 
2025-10-10T00:47:00.3900105Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3900294Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3900356Z     return mod(**inputs)
2025-10-10T00:47:00.3900610Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3900684Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3900936Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3901031Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3901241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3901320Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3901595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3901671Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3901883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3901962Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3902206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3902272Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3902522Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3902601Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3902851Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3902993Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3902996Z 
2025-10-10T00:47:00.3903094Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3903289Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3903353Z     return mod(**inputs)
2025-10-10T00:47:00.3903572Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3903645Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3903884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3903983Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3904192Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3904272Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3904515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3904592Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3904805Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3904880Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3905121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3905185Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3905434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3905510Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3905752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3905898Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3905901Z 
2025-10-10T00:47:00.3906001Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3906219Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3906283Z     return mod(**inputs)
2025-10-10T00:47:00.3906502Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3906572Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3906811Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3906912Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3907123Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3907226Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3907468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3907537Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3907763Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3907839Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3908078Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3908144Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3908388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3908474Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3908719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3908862Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3908865Z 
2025-10-10T00:47:00.3908965Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3909159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3909223Z     return mod(**inputs)
2025-10-10T00:47:00.3909434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3909516Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3909756Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3909856Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3910066Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3910140Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3910388Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3910458Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3910678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3910751Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3910989Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3911055Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3911296Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3911379Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3911617Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3911689Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3911955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 236, in forward
2025-10-10T00:47:00.3912093Z     query_states = self.q_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3912096Z 
2025-10-10T00:47:00.3912201Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3912382Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3912452Z     return mod(**inputs)
2025-10-10T00:47:00.3912656Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3912726Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3912990Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3913079Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3913293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3913362Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3913605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3913671Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3913874Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3913959Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3914181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3914257Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3914494Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3914562Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3914797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3914861Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3915103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3915253Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3915535Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3915620Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3915863Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3915945Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3915948Z 
2025-10-10T00:47:00.3916023Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3916131Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3916313Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3916372Z     return mod(**inputs)
2025-10-10T00:47:00.3916580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3916648Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3916888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3916982Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3917184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3917262Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3917517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3917593Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3917803Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3917884Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3918113Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3918177Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3918423Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3918514Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3918750Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3918814Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3919053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3919210Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3919485Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 138, in apply_rotary_pos_emb
2025-10-10T00:47:00.3919575Z     q_embed = (q * cos) + (rotate_half(q) * sin)
2025-10-10T00:47:00.3919825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3919906Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3919909Z 
2025-10-10T00:47:00.3920009Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3920191Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3920263Z     return mod(**inputs)
2025-10-10T00:47:00.3920470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3920546Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3920782Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3920873Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3921087Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3921157Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3921406Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3921474Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3921686Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3921772Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3922005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3922081Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3922317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3922396Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3922623Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3922690Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3922934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 237, in forward
2025-10-10T00:47:00.3923066Z     key_states = self.k_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3923069Z 
2025-10-10T00:47:00.3923196Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3923381Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3923441Z     return mod(**inputs)
2025-10-10T00:47:00.3923653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3923722Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3923964Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3924207Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3924421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3924491Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3924729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3924809Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3925017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3925101Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3925331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3925396Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3925640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3925712Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3925944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3926008Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3926245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3926407Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3926678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3926769Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3927016Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3927098Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3927100Z 
2025-10-10T00:47:00.3927174Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3927270Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3927461Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3927525Z     return mod(**inputs)
2025-10-10T00:47:00.3927748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3927819Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3928054Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3928155Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3928358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3928436Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3928672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3928747Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3928980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3929055Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3929287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3929353Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3929595Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3929662Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3929886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3929990Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3930225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 241, in forward
2025-10-10T00:47:00.3930378Z     query_states, key_states = apply_rotary_pos_emb(query_states, key_states, cos, sin)
2025-10-10T00:47:00.3930653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 139, in apply_rotary_pos_emb
2025-10-10T00:47:00.3930733Z     k_embed = (k * cos) + (rotate_half(k) * sin)
2025-10-10T00:47:00.3930987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 113, in rotate_half
2025-10-10T00:47:00.3931058Z     return torch.cat((-x2, x1), dim=-1)
2025-10-10T00:47:00.3931061Z 
2025-10-10T00:47:00.3931164Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3931349Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3931420Z     return mod(**inputs)
2025-10-10T00:47:00.3931626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3931698Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3931945Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3932036Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3932251Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3932322Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3932558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3932633Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3932845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3932927Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3933155Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3933228Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3933465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3933535Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3933769Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3933832Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3934081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 238, in forward
2025-10-10T00:47:00.3934220Z     value_states = self.v_proj(hidden_states).view(hidden_shape).transpose(1, 2)
2025-10-10T00:47:00.3934223Z 
2025-10-10T00:47:00.3934298Z cudagraph partition due to non gpu ops
2025-10-10T00:47:00.3934405Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3934610Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3934683Z     return mod(**inputs)
2025-10-10T00:47:00.3934888Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3934960Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3935202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3935294Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3935509Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3935605Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3935855Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3935926Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3936137Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3936219Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3936448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3936521Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3936758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3936825Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3937064Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3937127Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3937371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 252, in forward
2025-10-10T00:47:00.3937470Z     attn_output, attn_weights = attention_interface(
2025-10-10T00:47:00.3937752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/integrations/sdpa_attention.py", line 83, in sdpa_attention_forward
2025-10-10T00:47:00.3937878Z     attn_output = torch.nn.functional.scaled_dot_product_attention(
2025-10-10T00:47:00.3937881Z 
2025-10-10T00:47:00.3937979Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3938171Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3938236Z     return mod(**inputs)
2025-10-10T00:47:00.3938453Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3938523Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3938760Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3938862Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3939068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3939146Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3939383Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3939449Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3939667Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3939744Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3939980Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3940047Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3940315Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 294, in forward
2025-10-10T00:47:00.3940384Z     hidden_states, _ = self.self_attn(
2025-10-10T00:47:00.3940615Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3940687Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3940926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 264, in forward
2025-10-10T00:47:00.3941012Z     attn_output = self.o_proj(attn_output)
2025-10-10T00:47:00.3941015Z 
2025-10-10T00:47:00.3941111Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3941318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3941386Z     return mod(**inputs)
2025-10-10T00:47:00.3941589Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3941672Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3941908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3942008Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3942211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3942279Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3942523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3942593Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3942808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3942882Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3943110Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3943182Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3943417Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 304, in forward
2025-10-10T00:47:00.3943499Z     hidden_states = residual + hidden_states
2025-10-10T00:47:00.3943502Z 
2025-10-10T00:47:00.3943596Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3943780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3943847Z     return mod(**inputs)
2025-10-10T00:47:00.3944053Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3944131Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3944364Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3944461Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3944666Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3944738Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3944979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3945046Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3945260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3945337Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3945563Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3945637Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3945892Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3945977Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3946213Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3946351Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3946363Z 
2025-10-10T00:47:00.3946459Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3946646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3946736Z     return mod(**inputs)
2025-10-10T00:47:00.3946940Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3947020Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3947258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3947349Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3947561Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3947631Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3947872Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3947940Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3948144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3948226Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3948451Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3948523Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3948761Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3948847Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3949081Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3949215Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3949218Z 
2025-10-10T00:47:00.3949326Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3949509Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3949583Z     return mod(**inputs)
2025-10-10T00:47:00.3949791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3949859Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3950104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3950195Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3950407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3950477Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3950721Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3950788Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3950995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3951075Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3951300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3951395Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3951637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3951712Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3951959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3952091Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3952094Z 
2025-10-10T00:47:00.3952198Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3952413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3952475Z     return mod(**inputs)
2025-10-10T00:47:00.3952687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3952756Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3953001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 459, in forward
2025-10-10T00:47:00.3953092Z     outputs: BaseModelOutputWithPast = self.model(
2025-10-10T00:47:00.3953304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 1064, in wrapper
2025-10-10T00:47:00.3953375Z     outputs = func(self, *args, **kwargs)
2025-10-10T00:47:00.3953608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 395, in forward
2025-10-10T00:47:00.3953687Z     hidden_states = decoder_layer(
2025-10-10T00:47:00.3953894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/modeling_layers.py", line 94, in __call__
2025-10-10T00:47:00.3953974Z     return super().__call__(*args, **kwargs)
2025-10-10T00:47:00.3954203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/deprecation.py", line 172, in wrapped_func
2025-10-10T00:47:00.3954267Z     return func(*args, **kwargs)
2025-10-10T00:47:00.3954508Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 309, in forward
2025-10-10T00:47:00.3954584Z     hidden_states = self.mlp(hidden_states)
2025-10-10T00:47:00.3954824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 155, in forward
2025-10-10T00:47:00.3954956Z     down_proj = self.down_proj(self.act_fn(self.gate_proj(x)) * self.up_proj(x))
2025-10-10T00:47:00.3954959Z 
2025-10-10T00:47:00.3955066Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:47:00.3955248Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 454, in forward_pass
2025-10-10T00:47:00.3955309Z     return mod(**inputs)
2025-10-10T00:47:00.3955518Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/utils/generic.py", line 940, in wrapper
2025-10-10T00:47:00.3955591Z     output = func(self, *args, **kwargs)
2025-10-10T00:47:00.3955832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/transformers/models/llama/modeling_llama.py", line 473, in forward
2025-10-10T00:47:00.3955938Z     logits = self.lm_head(hidden_states[:, slice_indices, :])
2025-10-10T00:47:00.3955941Z 
2025-10-10T00:47:18.1896926Z 
2025-10-10T00:47:19.7577946Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:47:21.3087570Z running benchmark:   2% 1/50 [00:01<01:16,  1.57s/it]
2025-10-10T00:47:22.8471314Z running benchmark:   4% 2/50 [00:03<01:14,  1.56s/it]
2025-10-10T00:47:24.3967010Z running benchmark:   6% 3/50 [00:04<01:12,  1.55s/it]
2025-10-10T00:47:25.9381140Z running benchmark:   8% 4/50 [00:06<01:11,  1.55s/it]
2025-10-10T00:47:27.4799202Z running benchmark:  10% 5/50 [00:07<01:09,  1.55s/it]
2025-10-10T00:47:29.0381519Z running benchmark:  12% 6/50 [00:09<01:07,  1.54s/it]
2025-10-10T00:47:30.5822548Z running benchmark:  14% 7/50 [00:10<01:06,  1.55s/it]
2025-10-10T00:47:32.1409759Z running benchmark:  16% 8/50 [00:12<01:04,  1.55s/it]
2025-10-10T00:47:33.6815713Z running benchmark:  18% 9/50 [00:13<01:03,  1.55s/it]
2025-10-10T00:47:35.2299299Z running benchmark:  20% 10/50 [00:15<01:01,  1.55s/it]
2025-10-10T00:47:36.7850823Z running benchmark:  22% 11/50 [00:17<01:00,  1.55s/it]
2025-10-10T00:47:38.3301554Z running benchmark:  24% 12/50 [00:18<00:58,  1.55s/it]
2025-10-10T00:47:39.8873155Z running benchmark:  26% 13/50 [00:20<00:57,  1.55s/it]
2025-10-10T00:47:41.4340304Z running benchmark:  28% 14/50 [00:21<00:55,  1.55s/it]
2025-10-10T00:47:42.9769950Z running benchmark:  30% 15/50 [00:23<00:54,  1.55s/it]
2025-10-10T00:47:44.5279295Z running benchmark:  32% 16/50 [00:24<00:52,  1.55s/it]
2025-10-10T00:47:46.0715772Z running benchmark:  34% 17/50 [00:26<00:51,  1.55s/it]
2025-10-10T00:47:47.6282184Z running benchmark:  36% 18/50 [00:27<00:49,  1.55s/it]
2025-10-10T00:47:49.1736306Z running benchmark:  38% 19/50 [00:29<00:48,  1.55s/it]
2025-10-10T00:47:50.7312870Z running benchmark:  40% 20/50 [00:30<00:46,  1.55s/it]
2025-10-10T00:47:52.2673455Z running benchmark:  42% 21/50 [00:32<00:44,  1.55s/it]
2025-10-10T00:47:53.8135711Z running benchmark:  44% 22/50 [00:34<00:43,  1.55s/it]
2025-10-10T00:47:55.3694704Z running benchmark:  46% 23/50 [00:35<00:41,  1.55s/it]
2025-10-10T00:47:56.9124787Z running benchmark:  48% 24/50 [00:37<00:40,  1.55s/it]
2025-10-10T00:47:58.4708320Z running benchmark:  50% 25/50 [00:38<00:38,  1.55s/it]
2025-10-10T00:48:00.0143093Z running benchmark:  52% 26/50 [00:40<00:37,  1.55s/it]
2025-10-10T00:48:01.5673867Z running benchmark:  54% 27/50 [00:41<00:35,  1.55s/it]
2025-10-10T00:48:03.1228061Z running benchmark:  56% 28/50 [00:43<00:34,  1.55s/it]
2025-10-10T00:48:04.6663680Z running benchmark:  58% 29/50 [00:44<00:32,  1.55s/it]
2025-10-10T00:48:06.2219296Z running benchmark:  60% 30/50 [00:46<00:30,  1.55s/it]
2025-10-10T00:48:07.7689190Z running benchmark:  62% 31/50 [00:48<00:29,  1.55s/it]
2025-10-10T00:48:09.3204150Z running benchmark:  64% 32/50 [00:49<00:27,  1.55s/it]
2025-10-10T00:48:10.8737320Z running benchmark:  66% 33/50 [00:51<00:26,  1.55s/it]
2025-10-10T00:48:12.4228770Z running benchmark:  68% 34/50 [00:52<00:24,  1.55s/it]
2025-10-10T00:48:13.9791830Z running benchmark:  70% 35/50 [00:54<00:23,  1.55s/it]
2025-10-10T00:48:15.5224314Z running benchmark:  72% 36/50 [00:55<00:21,  1.55s/it]
2025-10-10T00:48:17.0851607Z running benchmark:  74% 37/50 [00:57<00:20,  1.55s/it]
2025-10-10T00:48:18.6293484Z running benchmark:  76% 38/50 [00:58<00:18,  1.55s/it]
2025-10-10T00:48:20.1787027Z running benchmark:  78% 39/50 [01:00<00:17,  1.55s/it]
2025-10-10T00:48:21.7528104Z running benchmark:  80% 40/50 [01:01<00:15,  1.55s/it]
2025-10-10T00:48:23.2952785Z running benchmark:  82% 41/50 [01:03<00:14,  1.56s/it]
2025-10-10T00:48:24.8515555Z running benchmark:  84% 42/50 [01:05<00:12,  1.55s/it]
2025-10-10T00:48:26.3998017Z running benchmark:  86% 43/50 [01:06<00:10,  1.55s/it]
2025-10-10T00:48:27.9491866Z running benchmark:  88% 44/50 [01:08<00:09,  1.55s/it]
2025-10-10T00:48:29.5051891Z running benchmark:  90% 45/50 [01:09<00:07,  1.55s/it]
2025-10-10T00:48:31.0505231Z running benchmark:  92% 46/50 [01:11<00:06,  1.55s/it]
2025-10-10T00:48:32.6091710Z running benchmark:  94% 47/50 [01:12<00:04,  1.55s/it]
2025-10-10T00:48:34.1579091Z running benchmark:  96% 48/50 [01:14<00:03,  1.55s/it]
2025-10-10T00:48:35.7174454Z running benchmark:  98% 49/50 [01:15<00:01,  1.55s/it]
2025-10-10T00:48:35.7174820Z running benchmark: 100% 50/50 [01:17<00:00,  1.55s/it]
2025-10-10T00:48:35.7175102Z running benchmark: 100% 50/50 [01:17<00:00,  1.55s/it]
2025-10-10T00:48:35.7406143Z 1.293x
2025-10-10T00:48:35.7406567Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:48:37.8243823Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:48:37.8258910Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:48:37.8259611Z cpu,llama_v2_7b_16h,1,1.292873,676.609425,20.806865,0.955254,4496.754688,4707.393536,951,1,0,0,0,0,1
2025-10-10T00:48:37.8260237Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv -t 1.23234331 -s 0.99
2025-10-10T00:48:38.0752390Z llama_v2_7b_16h                    1.292873
2025-10-10T00:48:38.1127311Z + IFS=,
2025-10-10T00:48:38.1127546Z + read -r -a model_cfg
2025-10-10T00:48:38.1127768Z + local model_name=resnet50
2025-10-10T00:48:38.1127977Z + local data_type=float32
2025-10-10T00:48:38.1128189Z + local speedup_target=1.67742767
2025-10-10T00:48:38.1128412Z + local backend=inductor
2025-10-10T00:48:38.1140723Z + [[ default == \c\p\p ]]
2025-10-10T00:48:38.1140999Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-10-10T00:48:38.1141516Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:48:38.1142012Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-10-10T00:48:38.1142962Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only resnet50 --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:48:38.4413323Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:48:38.4414766Z   import pynvml  # type: ignore[import]
2025-10-10T00:48:40.1597952Z 
2025-10-10T00:48:40.4580836Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnet50-0676ba61.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnet50-0676ba61.pth
2025-10-10T00:48:40.4756568Z 
2025-10-10T00:48:40.4756615Z 
2025-10-10T00:48:40.5761177Z   0% 0.00/97.8M [00:00<?, ?B/s]
2025-10-10T00:48:40.5761361Z 
2025-10-10T00:48:40.6837836Z  32% 31.4M/97.8M [00:00<00:00, 328MB/s]
2025-10-10T00:48:40.6838002Z 
2025-10-10T00:48:40.7697631Z  64% 62.8M/97.8M [00:00<00:00, 314MB/s]
2025-10-10T00:48:40.7697876Z 100% 97.8M/97.8M [00:00<00:00, 349MB/s]
2025-10-10T00:48:41.1897241Z 
2025-10-10T00:48:41.1897694Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:48:41.1907584Z cpu  eval  resnet50                           
2025-10-10T00:48:49.5459118Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5459452Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5459878Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5460202Z     return mod(*inputs)
2025-10-10T00:48:49.5460548Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5460898Z     return self._forward_impl(x)
2025-10-10T00:48:49.5461247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-10-10T00:48:49.5461583Z     x = self.relu(x)
2025-10-10T00:48:49.5461694Z 
2025-10-10T00:48:49.5461798Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5462141Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5462465Z     return mod(*inputs)
2025-10-10T00:48:49.5462788Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5463119Z     return self._forward_impl(x)
2025-10-10T00:48:49.5463791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-10-10T00:48:49.5464154Z     x = self.relu(x)
2025-10-10T00:48:49.5464251Z 
2025-10-10T00:48:49.5464371Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5464726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5465184Z     return mod(*inputs)
2025-10-10T00:48:49.5465498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5465826Z     return self._forward_impl(x)
2025-10-10T00:48:49.5466258Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-10-10T00:48:49.5466597Z     x = self.maxpool(x)
2025-10-10T00:48:49.5466694Z 
2025-10-10T00:48:49.5466798Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5467143Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5467440Z     return mod(*inputs)
2025-10-10T00:48:49.5467746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5468077Z     return self._forward_impl(x)
2025-10-10T00:48:49.5468407Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5468733Z     x = self.layer1(x)
2025-10-10T00:48:49.5469040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5469372Z     out = self.relu(out)
2025-10-10T00:48:49.5469478Z 
2025-10-10T00:48:49.5469582Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5469920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5470213Z     return mod(*inputs)
2025-10-10T00:48:49.5470523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5470853Z     return self._forward_impl(x)
2025-10-10T00:48:49.5471182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5471508Z     x = self.layer1(x)
2025-10-10T00:48:49.5471807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5472127Z     out = self.relu(out)
2025-10-10T00:48:49.5472226Z 
2025-10-10T00:48:49.5472332Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5472669Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5472960Z     return mod(*inputs)
2025-10-10T00:48:49.5473262Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5473596Z     return self._forward_impl(x)
2025-10-10T00:48:49.5473923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5474246Z     x = self.layer1(x)
2025-10-10T00:48:49.5474542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5474858Z     out = self.relu(out)
2025-10-10T00:48:49.5474956Z 
2025-10-10T00:48:49.5475060Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5475398Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5475691Z     return mod(*inputs)
2025-10-10T00:48:49.5475994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5476319Z     return self._forward_impl(x)
2025-10-10T00:48:49.5476696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5477025Z     x = self.layer1(x)
2025-10-10T00:48:49.5477324Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5477646Z     out = self.relu(out)
2025-10-10T00:48:49.5477746Z 
2025-10-10T00:48:49.5477849Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5478187Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5478479Z     return mod(*inputs)
2025-10-10T00:48:49.5478832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5479159Z     return self._forward_impl(x)
2025-10-10T00:48:49.5479488Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5479812Z     x = self.layer1(x)
2025-10-10T00:48:49.5480112Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:48:49.5480437Z     out = self.relu(out)
2025-10-10T00:48:49.5480532Z 
2025-10-10T00:48:49.5480634Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5480963Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5481265Z     return mod(*inputs)
2025-10-10T00:48:49.5481567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5481900Z     return self._forward_impl(x)
2025-10-10T00:48:49.5482232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5482558Z     x = self.layer1(x)
2025-10-10T00:48:49.5482856Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:48:49.5483182Z     out = self.relu(out)
2025-10-10T00:48:49.5483282Z 
2025-10-10T00:48:49.5483369Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5483591Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5483924Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5484222Z     return mod(*inputs)
2025-10-10T00:48:49.5484520Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5484844Z     return self._forward_impl(x)
2025-10-10T00:48:49.5485169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5485501Z     x = self.layer1(x)
2025-10-10T00:48:49.5485797Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5486120Z     out = self.relu(out)
2025-10-10T00:48:49.5486217Z 
2025-10-10T00:48:49.5486317Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5486652Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5486951Z     return mod(*inputs)
2025-10-10T00:48:49.5487250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5487575Z     return self._forward_impl(x)
2025-10-10T00:48:49.5487895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5488230Z     x = self.layer1(x)
2025-10-10T00:48:49.5488532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5488848Z     out = self.relu(out)
2025-10-10T00:48:49.5488945Z 
2025-10-10T00:48:49.5489041Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5489406Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5489712Z     return mod(*inputs)
2025-10-10T00:48:49.5490009Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5490333Z     return self._forward_impl(x)
2025-10-10T00:48:49.5490657Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5490988Z     x = self.layer1(x)
2025-10-10T00:48:49.5491285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5491636Z     out = self.relu(out)
2025-10-10T00:48:49.5491733Z 
2025-10-10T00:48:49.5491828Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5492159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5492453Z     return mod(*inputs)
2025-10-10T00:48:49.5492758Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5493086Z     return self._forward_impl(x)
2025-10-10T00:48:49.5493405Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5493736Z     x = self.layer1(x)
2025-10-10T00:48:49.5494034Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5494355Z     out = self.relu(out)
2025-10-10T00:48:49.5494455Z 
2025-10-10T00:48:49.5494535Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5494762Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5495098Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5495396Z     return mod(*inputs)
2025-10-10T00:48:49.5495702Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5496020Z     return self._forward_impl(x)
2025-10-10T00:48:49.5496354Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5496687Z     x = self.layer1(x)
2025-10-10T00:48:49.5496987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5497303Z     out = self.relu(out)
2025-10-10T00:48:49.5497412Z 
2025-10-10T00:48:49.5497508Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5497845Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5498147Z     return mod(*inputs)
2025-10-10T00:48:49.5498541Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5498866Z     return self._forward_impl(x)
2025-10-10T00:48:49.5499202Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5499541Z     x = self.layer1(x)
2025-10-10T00:48:49.5499843Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5500156Z     out = self.relu(out)
2025-10-10T00:48:49.5500263Z 
2025-10-10T00:48:49.5500362Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5500702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5501009Z     return mod(*inputs)
2025-10-10T00:48:49.5501314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5501635Z     return self._forward_impl(x)
2025-10-10T00:48:49.5502728Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5503080Z     x = self.layer1(x)
2025-10-10T00:48:49.5503380Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5503694Z     out = self.relu(out)
2025-10-10T00:48:49.5503800Z 
2025-10-10T00:48:49.5503897Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5504234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5504537Z     return mod(*inputs)
2025-10-10T00:48:49.5504836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5505241Z     return self._forward_impl(x)
2025-10-10T00:48:49.5505579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:48:49.5505917Z     x = self.layer1(x)
2025-10-10T00:48:49.5506219Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5506536Z     out = self.relu(out)
2025-10-10T00:48:49.5506644Z 
2025-10-10T00:48:49.5506722Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5506950Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5507288Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5507596Z     return mod(*inputs)
2025-10-10T00:48:49.5507896Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5508233Z     return self._forward_impl(x)
2025-10-10T00:48:49.5508570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5508911Z     x = self.layer2(x)
2025-10-10T00:48:49.5509210Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5509533Z     out = self.relu(out)
2025-10-10T00:48:49.5509640Z 
2025-10-10T00:48:49.5509739Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5510076Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5510378Z     return mod(*inputs)
2025-10-10T00:48:49.5510675Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5511007Z     return self._forward_impl(x)
2025-10-10T00:48:49.5511345Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5511690Z     x = self.layer2(x)
2025-10-10T00:48:49.5511982Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5512305Z     out = self.relu(out)
2025-10-10T00:48:49.5512409Z 
2025-10-10T00:48:49.5512510Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5512847Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5513148Z     return mod(*inputs)
2025-10-10T00:48:49.5513444Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5513773Z     return self._forward_impl(x)
2025-10-10T00:48:49.5514111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5514449Z     x = self.layer2(x)
2025-10-10T00:48:49.5514746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5515073Z     out = self.relu(out)
2025-10-10T00:48:49.5515177Z 
2025-10-10T00:48:49.5515272Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5515641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5515940Z     return mod(*inputs)
2025-10-10T00:48:49.5516231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5516555Z     return self._forward_impl(x)
2025-10-10T00:48:49.5516881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5517211Z     x = self.layer2(x)
2025-10-10T00:48:49.5517497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5517850Z     out = self.relu(out)
2025-10-10T00:48:49.5517955Z 
2025-10-10T00:48:49.5518052Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5518389Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5518691Z     return mod(*inputs)
2025-10-10T00:48:49.5518987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5519319Z     return self._forward_impl(x)
2025-10-10T00:48:49.5519653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5519988Z     x = self.layer2(x)
2025-10-10T00:48:49.5520286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:48:49.5520609Z     out = self.relu(out)
2025-10-10T00:48:49.5520715Z 
2025-10-10T00:48:49.5520812Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5521153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5521455Z     return mod(*inputs)
2025-10-10T00:48:49.5521749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5522082Z     return self._forward_impl(x)
2025-10-10T00:48:49.5522418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5522750Z     x = self.layer2(x)
2025-10-10T00:48:49.5523040Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:48:49.5523364Z     out = self.relu(out)
2025-10-10T00:48:49.5523476Z 
2025-10-10T00:48:49.5523555Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5523784Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5524126Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5524421Z     return mod(*inputs)
2025-10-10T00:48:49.5524729Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5525057Z     return self._forward_impl(x)
2025-10-10T00:48:49.5525395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5525724Z     x = self.layer2(x)
2025-10-10T00:48:49.5526024Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5526346Z     out = self.relu(out)
2025-10-10T00:48:49.5526444Z 
2025-10-10T00:48:49.5526551Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5526889Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5527185Z     return mod(*inputs)
2025-10-10T00:48:49.5527492Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5527819Z     return self._forward_impl(x)
2025-10-10T00:48:49.5528152Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5528515Z     x = self.layer2(x)
2025-10-10T00:48:49.5528818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5529143Z     out = self.relu(out)
2025-10-10T00:48:49.5529241Z 
2025-10-10T00:48:49.5529351Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5529689Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5529981Z     return mod(*inputs)
2025-10-10T00:48:49.5530283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5530649Z     return self._forward_impl(x)
2025-10-10T00:48:49.5530979Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5531305Z     x = self.layer2(x)
2025-10-10T00:48:49.5531608Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5531927Z     out = self.relu(out)
2025-10-10T00:48:49.5532026Z 
2025-10-10T00:48:49.5532131Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5532465Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5532757Z     return mod(*inputs)
2025-10-10T00:48:49.5533058Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5533380Z     return self._forward_impl(x)
2025-10-10T00:48:49.5533713Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5534043Z     x = self.layer2(x)
2025-10-10T00:48:49.5534342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5534663Z     out = self.relu(out)
2025-10-10T00:48:49.5534759Z 
2025-10-10T00:48:49.5534846Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5535075Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5535403Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5535700Z     return mod(*inputs)
2025-10-10T00:48:49.5536003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5536328Z     return self._forward_impl(x)
2025-10-10T00:48:49.5536650Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5536988Z     x = self.layer2(x)
2025-10-10T00:48:49.5537291Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5537612Z     out = self.relu(out)
2025-10-10T00:48:49.5537711Z 
2025-10-10T00:48:49.5537813Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5538145Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5538446Z     return mod(*inputs)
2025-10-10T00:48:49.5538749Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5539075Z     return self._forward_impl(x)
2025-10-10T00:48:49.5539397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5539732Z     x = self.layer2(x)
2025-10-10T00:48:49.5540035Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5540357Z     out = self.relu(out)
2025-10-10T00:48:49.5540456Z 
2025-10-10T00:48:49.5540557Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5540884Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5541215Z     return mod(*inputs)
2025-10-10T00:48:49.5541519Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5541843Z     return self._forward_impl(x)
2025-10-10T00:48:49.5542166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5542501Z     x = self.layer2(x)
2025-10-10T00:48:49.5542796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5543149Z     out = self.relu(out)
2025-10-10T00:48:49.5543247Z 
2025-10-10T00:48:49.5543356Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5543686Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5543988Z     return mod(*inputs)
2025-10-10T00:48:49.5544297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5544627Z     return self._forward_impl(x)
2025-10-10T00:48:49.5544955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5545291Z     x = self.layer2(x)
2025-10-10T00:48:49.5545594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5545922Z     out = self.relu(out)
2025-10-10T00:48:49.5546022Z 
2025-10-10T00:48:49.5546110Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5546336Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5546678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5546981Z     return mod(*inputs)
2025-10-10T00:48:49.5547290Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5547618Z     return self._forward_impl(x)
2025-10-10T00:48:49.5547957Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5548295Z     x = self.layer2(x)
2025-10-10T00:48:49.5548601Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5548927Z     out = self.relu(out)
2025-10-10T00:48:49.5549029Z 
2025-10-10T00:48:49.5549127Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5549470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5549780Z     return mod(*inputs)
2025-10-10T00:48:49.5550084Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5550413Z     return self._forward_impl(x)
2025-10-10T00:48:49.5550752Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5551093Z     x = self.layer2(x)
2025-10-10T00:48:49.5551399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5551727Z     out = self.relu(out)
2025-10-10T00:48:49.5551825Z 
2025-10-10T00:48:49.5551926Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5552269Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5552574Z     return mod(*inputs)
2025-10-10T00:48:49.5552889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5553212Z     return self._forward_impl(x)
2025-10-10T00:48:49.5553551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5553888Z     x = self.layer2(x)
2025-10-10T00:48:49.5554235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5554559Z     out = self.relu(out)
2025-10-10T00:48:49.5554655Z 
2025-10-10T00:48:49.5554752Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5555088Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5555385Z     return mod(*inputs)
2025-10-10T00:48:49.5555679Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5556066Z     return self._forward_impl(x)
2025-10-10T00:48:49.5556400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:48:49.5556739Z     x = self.layer2(x)
2025-10-10T00:48:49.5557029Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5557352Z     out = self.relu(out)
2025-10-10T00:48:49.5557460Z 
2025-10-10T00:48:49.5557537Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5557768Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5558103Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5558397Z     return mod(*inputs)
2025-10-10T00:48:49.5558701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5559028Z     return self._forward_impl(x)
2025-10-10T00:48:49.5559362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5559690Z     x = self.layer3(x)
2025-10-10T00:48:49.5559987Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5560308Z     out = self.relu(out)
2025-10-10T00:48:49.5560408Z 
2025-10-10T00:48:49.5560515Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5560850Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5561144Z     return mod(*inputs)
2025-10-10T00:48:49.5561448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5561774Z     return self._forward_impl(x)
2025-10-10T00:48:49.5562103Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5562432Z     x = self.layer3(x)
2025-10-10T00:48:49.5562731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5563051Z     out = self.relu(out)
2025-10-10T00:48:49.5563146Z 
2025-10-10T00:48:49.5563250Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5563586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5563881Z     return mod(*inputs)
2025-10-10T00:48:49.5564182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5564505Z     return self._forward_impl(x)
2025-10-10T00:48:49.5564836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5565161Z     x = self.layer3(x)
2025-10-10T00:48:49.5565463Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5565787Z     out = self.relu(out)
2025-10-10T00:48:49.5565883Z 
2025-10-10T00:48:49.5565985Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5566322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5566648Z     return mod(*inputs)
2025-10-10T00:48:49.5566950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5567276Z     return self._forward_impl(x)
2025-10-10T00:48:49.5567605Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5567932Z     x = self.layer3(x)
2025-10-10T00:48:49.5568231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5568550Z     out = self.relu(out)
2025-10-10T00:48:49.5568705Z 
2025-10-10T00:48:49.5568809Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5569147Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5569437Z     return mod(*inputs)
2025-10-10T00:48:49.5569747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5570073Z     return self._forward_impl(x)
2025-10-10T00:48:49.5570402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5570727Z     x = self.layer3(x)
2025-10-10T00:48:49.5571022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:48:49.5571340Z     out = self.relu(out)
2025-10-10T00:48:49.5571436Z 
2025-10-10T00:48:49.5571540Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5571880Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5572168Z     return mod(*inputs)
2025-10-10T00:48:49.5572467Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5572795Z     return self._forward_impl(x)
2025-10-10T00:48:49.5573125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5573451Z     x = self.layer3(x)
2025-10-10T00:48:49.5573747Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:48:49.5574063Z     out = self.relu(out)
2025-10-10T00:48:49.5574160Z 
2025-10-10T00:48:49.5574247Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5574472Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5574798Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5575098Z     return mod(*inputs)
2025-10-10T00:48:49.5575399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5575723Z     return self._forward_impl(x)
2025-10-10T00:48:49.5576044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5576377Z     x = self.layer3(x)
2025-10-10T00:48:49.5576673Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5576994Z     out = self.relu(out)
2025-10-10T00:48:49.5577091Z 
2025-10-10T00:48:49.5577194Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5577521Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5577816Z     return mod(*inputs)
2025-10-10T00:48:49.5578117Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5578446Z     return self._forward_impl(x)
2025-10-10T00:48:49.5578768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5579100Z     x = self.layer3(x)
2025-10-10T00:48:49.5579421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5579746Z     out = self.relu(out)
2025-10-10T00:48:49.5579842Z 
2025-10-10T00:48:49.5579946Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5580275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5580578Z     return mod(*inputs)
2025-10-10T00:48:49.5580884Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5581211Z     return self._forward_impl(x)
2025-10-10T00:48:49.5581567Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5581906Z     x = self.layer3(x)
2025-10-10T00:48:49.5582207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5582535Z     out = self.relu(out)
2025-10-10T00:48:49.5582632Z 
2025-10-10T00:48:49.5582738Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5583071Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5583375Z     return mod(*inputs)
2025-10-10T00:48:49.5583678Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5584006Z     return self._forward_impl(x)
2025-10-10T00:48:49.5584331Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5584670Z     x = self.layer3(x)
2025-10-10T00:48:49.5584973Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5585297Z     out = self.relu(out)
2025-10-10T00:48:49.5585395Z 
2025-10-10T00:48:49.5585480Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5585702Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5586039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5586339Z     return mod(*inputs)
2025-10-10T00:48:49.5586641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5586961Z     return self._forward_impl(x)
2025-10-10T00:48:49.5587293Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5587634Z     x = self.layer3(x)
2025-10-10T00:48:49.5587935Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5588259Z     out = self.relu(out)
2025-10-10T00:48:49.5588357Z 
2025-10-10T00:48:49.5588456Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5588797Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5589097Z     return mod(*inputs)
2025-10-10T00:48:49.5589399Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5589717Z     return self._forward_impl(x)
2025-10-10T00:48:49.5590046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5590379Z     x = self.layer3(x)
2025-10-10T00:48:49.5590672Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5591001Z     out = self.relu(out)
2025-10-10T00:48:49.5591098Z 
2025-10-10T00:48:49.5591193Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5591530Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5591830Z     return mod(*inputs)
2025-10-10T00:48:49.5592156Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5592475Z     return self._forward_impl(x)
2025-10-10T00:48:49.5592801Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5593136Z     x = self.layer3(x)
2025-10-10T00:48:49.5593433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5593753Z     out = self.relu(out)
2025-10-10T00:48:49.5593850Z 
2025-10-10T00:48:49.5593982Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5594318Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5594619Z     return mod(*inputs)
2025-10-10T00:48:49.5594920Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5595239Z     return self._forward_impl(x)
2025-10-10T00:48:49.5595575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5595913Z     x = self.layer3(x)
2025-10-10T00:48:49.5596211Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5596532Z     out = self.relu(out)
2025-10-10T00:48:49.5596628Z 
2025-10-10T00:48:49.5596707Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5596940Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5597282Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5597585Z     return mod(*inputs)
2025-10-10T00:48:49.5597881Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5598256Z     return self._forward_impl(x)
2025-10-10T00:48:49.5598594Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5598928Z     x = self.layer3(x)
2025-10-10T00:48:49.5599232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5599553Z     out = self.relu(out)
2025-10-10T00:48:49.5599660Z 
2025-10-10T00:48:49.5599757Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5600096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5600399Z     return mod(*inputs)
2025-10-10T00:48:49.5600693Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5601023Z     return self._forward_impl(x)
2025-10-10T00:48:49.5601356Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5601692Z     x = self.layer3(x)
2025-10-10T00:48:49.5601993Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5602308Z     out = self.relu(out)
2025-10-10T00:48:49.5602412Z 
2025-10-10T00:48:49.5602509Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5602843Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5603142Z     return mod(*inputs)
2025-10-10T00:48:49.5603433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5603764Z     return self._forward_impl(x)
2025-10-10T00:48:49.5604093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5604424Z     x = self.layer3(x)
2025-10-10T00:48:49.5604790Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5605105Z     out = self.relu(out)
2025-10-10T00:48:49.5605210Z 
2025-10-10T00:48:49.5605306Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5605641Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5605942Z     return mod(*inputs)
2025-10-10T00:48:49.5606237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5606567Z     return self._forward_impl(x)
2025-10-10T00:48:49.5606946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5607283Z     x = self.layer3(x)
2025-10-10T00:48:49.5607585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5607900Z     out = self.relu(out)
2025-10-10T00:48:49.5608009Z 
2025-10-10T00:48:49.5608087Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5608315Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5608648Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5608940Z     return mod(*inputs)
2025-10-10T00:48:49.5609240Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5609564Z     return self._forward_impl(x)
2025-10-10T00:48:49.5609894Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5610231Z     x = self.layer3(x)
2025-10-10T00:48:49.5610524Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5610844Z     out = self.relu(out)
2025-10-10T00:48:49.5610941Z 
2025-10-10T00:48:49.5611049Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5611384Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5611686Z     return mod(*inputs)
2025-10-10T00:48:49.5611992Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5612318Z     return self._forward_impl(x)
2025-10-10T00:48:49.5612649Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5612978Z     x = self.layer3(x)
2025-10-10T00:48:49.5613271Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5613590Z     out = self.relu(out)
2025-10-10T00:48:49.5613688Z 
2025-10-10T00:48:49.5613791Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5614131Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5614422Z     return mod(*inputs)
2025-10-10T00:48:49.5614722Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5615048Z     return self._forward_impl(x)
2025-10-10T00:48:49.5615378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5615713Z     x = self.layer3(x)
2025-10-10T00:48:49.5616001Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5616327Z     out = self.relu(out)
2025-10-10T00:48:49.5616426Z 
2025-10-10T00:48:49.5616528Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5616865Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5617155Z     return mod(*inputs)
2025-10-10T00:48:49.5617483Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5617812Z     return self._forward_impl(x)
2025-10-10T00:48:49.5618144Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5618481Z     x = self.layer3(x)
2025-10-10T00:48:49.5618774Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5619096Z     out = self.relu(out)
2025-10-10T00:48:49.5619195Z 
2025-10-10T00:48:49.5619278Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5619538Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5619861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5620161Z     return mod(*inputs)
2025-10-10T00:48:49.5620464Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5620793Z     return self._forward_impl(x)
2025-10-10T00:48:49.5621114Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5621445Z     x = self.layer3(x)
2025-10-10T00:48:49.5621743Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5622061Z     out = self.relu(out)
2025-10-10T00:48:49.5622159Z 
2025-10-10T00:48:49.5622263Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5622596Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5622896Z     return mod(*inputs)
2025-10-10T00:48:49.5623193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5623519Z     return self._forward_impl(x)
2025-10-10T00:48:49.5623842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5624174Z     x = self.layer3(x)
2025-10-10T00:48:49.5624466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5624789Z     out = self.relu(out)
2025-10-10T00:48:49.5624886Z 
2025-10-10T00:48:49.5624994Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5625319Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5625618Z     return mod(*inputs)
2025-10-10T00:48:49.5625923Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5626248Z     return self._forward_impl(x)
2025-10-10T00:48:49.5626578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5626902Z     x = self.layer3(x)
2025-10-10T00:48:49.5627199Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5627516Z     out = self.relu(out)
2025-10-10T00:48:49.5627614Z 
2025-10-10T00:48:49.5627718Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5628044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5628339Z     return mod(*inputs)
2025-10-10T00:48:49.5628637Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5628966Z     return self._forward_impl(x)
2025-10-10T00:48:49.5629297Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:48:49.5629621Z     x = self.layer3(x)
2025-10-10T00:48:49.5629944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5630269Z     out = self.relu(out)
2025-10-10T00:48:49.5630369Z 
2025-10-10T00:48:49.5630455Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5630675Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5631009Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5631315Z     return mod(*inputs)
2025-10-10T00:48:49.5631622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5631940Z     return self._forward_impl(x)
2025-10-10T00:48:49.5632302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5632646Z     x = self.layer4(x)
2025-10-10T00:48:49.5632952Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5633280Z     out = self.relu(out)
2025-10-10T00:48:49.5633382Z 
2025-10-10T00:48:49.5633481Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5633825Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5634129Z     return mod(*inputs)
2025-10-10T00:48:49.5634434Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5634755Z     return self._forward_impl(x)
2025-10-10T00:48:49.5635093Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5635442Z     x = self.layer4(x)
2025-10-10T00:48:49.5635745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5636066Z     out = self.relu(out)
2025-10-10T00:48:49.5636167Z 
2025-10-10T00:48:49.5636268Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5636615Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5636925Z     return mod(*inputs)
2025-10-10T00:48:49.5637234Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5637568Z     return self._forward_impl(x)
2025-10-10T00:48:49.5637898Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5638244Z     x = self.layer4(x)
2025-10-10T00:48:49.5638547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5638877Z     out = self.relu(out)
2025-10-10T00:48:49.5638978Z 
2025-10-10T00:48:49.5639076Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5639421Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5639728Z     return mod(*inputs)
2025-10-10T00:48:49.5640038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5640373Z     return self._forward_impl(x)
2025-10-10T00:48:49.5640701Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5641042Z     x = self.layer4(x)
2025-10-10T00:48:49.5641346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5641671Z     out = self.relu(out)
2025-10-10T00:48:49.5641778Z 
2025-10-10T00:48:49.5641877Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5642221Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5642527Z     return mod(*inputs)
2025-10-10T00:48:49.5642883Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5643217Z     return self._forward_impl(x)
2025-10-10T00:48:49.5643542Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5643877Z     x = self.layer4(x)
2025-10-10T00:48:49.5644179Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:48:49.5644500Z     out = self.relu(out)
2025-10-10T00:48:49.5644598Z 
2025-10-10T00:48:49.5644691Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5645070Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5645372Z     return mod(*inputs)
2025-10-10T00:48:49.5645674Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5646002Z     return self._forward_impl(x)
2025-10-10T00:48:49.5646334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5646668Z     x = self.layer4(x)
2025-10-10T00:48:49.5646963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:48:49.5647283Z     out = self.relu(out)
2025-10-10T00:48:49.5647380Z 
2025-10-10T00:48:49.5647458Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5647679Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5648010Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5648315Z     return mod(*inputs)
2025-10-10T00:48:49.5648606Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5648931Z     return self._forward_impl(x)
2025-10-10T00:48:49.5649260Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5649592Z     x = self.layer4(x)
2025-10-10T00:48:49.5649885Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5650196Z     out = self.relu(out)
2025-10-10T00:48:49.5650301Z 
2025-10-10T00:48:49.5650397Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5650732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5651032Z     return mod(*inputs)
2025-10-10T00:48:49.5651330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5651661Z     return self._forward_impl(x)
2025-10-10T00:48:49.5651994Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5652330Z     x = self.layer4(x)
2025-10-10T00:48:49.5652627Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5652940Z     out = self.relu(out)
2025-10-10T00:48:49.5653048Z 
2025-10-10T00:48:49.5653144Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5653477Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5653775Z     return mod(*inputs)
2025-10-10T00:48:49.5654069Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5654398Z     return self._forward_impl(x)
2025-10-10T00:48:49.5654731Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5655062Z     x = self.layer4(x)
2025-10-10T00:48:49.5655358Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5655702Z     out = self.relu(out)
2025-10-10T00:48:49.5655809Z 
2025-10-10T00:48:49.5655904Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5656244Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5656544Z     return mod(*inputs)
2025-10-10T00:48:49.5656841Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5657169Z     return self._forward_impl(x)
2025-10-10T00:48:49.5657501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5657884Z     x = self.layer4(x)
2025-10-10T00:48:49.5658184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5658503Z     out = self.relu(out)
2025-10-10T00:48:49.5658609Z 
2025-10-10T00:48:49.5658688Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5658916Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5659250Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5659541Z     return mod(*inputs)
2025-10-10T00:48:49.5659842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5660166Z     return self._forward_impl(x)
2025-10-10T00:48:49.5660497Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5660834Z     x = self.layer4(x)
2025-10-10T00:48:49.5661124Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5661444Z     out = self.relu(out)
2025-10-10T00:48:49.5661549Z 
2025-10-10T00:48:49.5661642Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5661983Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5662274Z     return mod(*inputs)
2025-10-10T00:48:49.5662580Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5662908Z     return self._forward_impl(x)
2025-10-10T00:48:49.5663239Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5663570Z     x = self.layer4(x)
2025-10-10T00:48:49.5663861Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:48:49.5664181Z     out = self.relu(out)
2025-10-10T00:48:49.5664285Z 
2025-10-10T00:48:49.5664380Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5664720Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5665009Z     return mod(*inputs)
2025-10-10T00:48:49.5665318Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5665648Z     return self._forward_impl(x)
2025-10-10T00:48:49.5665985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5666320Z     x = self.layer4(x)
2025-10-10T00:48:49.5666611Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5666939Z     out = self.relu(out)
2025-10-10T00:48:49.5667048Z 
2025-10-10T00:48:49.5667143Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5667483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5667786Z     return mod(*inputs)
2025-10-10T00:48:49.5668082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5668442Z     return self._forward_impl(x)
2025-10-10T00:48:49.5668778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:48:49.5669112Z     x = self.layer4(x)
2025-10-10T00:48:49.5669402Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:48:49.5669724Z     out = self.relu(out)
2025-10-10T00:48:49.5669828Z 
2025-10-10T00:48:49.5669909Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5670114Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5670372Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:48:49.5670717Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:48:49.5671025Z     return mod(*inputs)
2025-10-10T00:48:49.5671342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:48:49.5671679Z     return self._forward_impl(x)
2025-10-10T00:48:49.5672013Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-10-10T00:48:49.5672358Z     x = self.avgpool(x)
2025-10-10T00:48:49.5672466Z 
2025-10-10T00:48:49.5672545Z cudagraph partition due to non gpu ops
2025-10-10T00:48:49.5672763Z cudagraph partition due to non gpu ops
2025-10-10T00:48:58.9510654Z 
2025-10-10T00:48:59.1106428Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:48:59.2605885Z running benchmark:   2% 1/50 [00:00<00:07,  6.26it/s]
2025-10-10T00:48:59.4102530Z running benchmark:   4% 2/50 [00:00<00:07,  6.49it/s]
2025-10-10T00:48:59.5626012Z running benchmark:   6% 3/50 [00:00<00:07,  6.58it/s]
2025-10-10T00:48:59.7219262Z running benchmark:   8% 4/50 [00:00<00:07,  6.57it/s]
2025-10-10T00:48:59.8709413Z running benchmark:  10% 5/50 [00:00<00:06,  6.47it/s]
2025-10-10T00:49:00.0204797Z running benchmark:  12% 6/50 [00:00<00:06,  6.54it/s]
2025-10-10T00:49:00.1731674Z running benchmark:  14% 7/50 [00:01<00:06,  6.59it/s]
2025-10-10T00:49:00.3224806Z running benchmark:  16% 8/50 [00:01<00:06,  6.58it/s]
2025-10-10T00:49:00.4713836Z running benchmark:  18% 9/50 [00:01<00:06,  6.61it/s]
2025-10-10T00:49:00.6198015Z running benchmark:  20% 10/50 [00:01<00:06,  6.65it/s]
2025-10-10T00:49:00.7822413Z running benchmark:  22% 11/50 [00:01<00:05,  6.67it/s]
2025-10-10T00:49:00.9378574Z running benchmark:  24% 12/50 [00:01<00:05,  6.51it/s]
2025-10-10T00:49:01.0956095Z running benchmark:  26% 13/50 [00:01<00:05,  6.48it/s]
2025-10-10T00:49:01.2452340Z running benchmark:  28% 14/50 [00:02<00:05,  6.44it/s]
2025-10-10T00:49:01.3986480Z running benchmark:  30% 15/50 [00:02<00:05,  6.51it/s]
2025-10-10T00:49:01.5537341Z running benchmark:  32% 16/50 [00:02<00:05,  6.52it/s]
2025-10-10T00:49:01.7116942Z running benchmark:  34% 17/50 [00:02<00:05,  6.49it/s]
2025-10-10T00:49:01.8744788Z running benchmark:  36% 18/50 [00:02<00:04,  6.44it/s]
2025-10-10T00:49:02.0239008Z running benchmark:  38% 19/50 [00:02<00:04,  6.35it/s]
2025-10-10T00:49:02.1797960Z running benchmark:  40% 20/50 [00:03<00:04,  6.45it/s]
2025-10-10T00:49:02.3372678Z running benchmark:  42% 21/50 [00:03<00:04,  6.44it/s]
2025-10-10T00:49:02.4862375Z running benchmark:  44% 22/50 [00:03<00:04,  6.41it/s]
2025-10-10T00:49:02.6359567Z running benchmark:  46% 23/50 [00:03<00:04,  6.50it/s]
2025-10-10T00:49:02.7927601Z running benchmark:  48% 24/50 [00:03<00:03,  6.55it/s]
2025-10-10T00:49:02.9622380Z running benchmark:  50% 25/50 [00:03<00:03,  6.50it/s]
2025-10-10T00:49:03.1118615Z running benchmark:  52% 26/50 [00:04<00:03,  6.31it/s]
2025-10-10T00:49:03.2611320Z running benchmark:  54% 27/50 [00:04<00:03,  6.41it/s]
2025-10-10T00:49:03.4171784Z running benchmark:  56% 28/50 [00:04<00:03,  6.50it/s]
2025-10-10T00:49:03.5746346Z running benchmark:  58% 29/50 [00:04<00:03,  6.47it/s]
2025-10-10T00:49:03.7240228Z running benchmark:  60% 30/50 [00:04<00:03,  6.43it/s]
2025-10-10T00:49:03.8738578Z running benchmark:  62% 31/50 [00:04<00:02,  6.51it/s]
2025-10-10T00:49:04.0459189Z running benchmark:  64% 32/50 [00:04<00:02,  6.56it/s]
2025-10-10T00:49:04.1981745Z running benchmark:  66% 33/50 [00:05<00:02,  6.32it/s]
2025-10-10T00:49:04.3474730Z running benchmark:  68% 34/50 [00:05<00:02,  6.39it/s]
2025-10-10T00:49:04.4974405Z running benchmark:  70% 35/50 [00:05<00:02,  6.48it/s]
2025-10-10T00:49:04.6549718Z running benchmark:  72% 36/50 [00:05<00:02,  6.53it/s]
2025-10-10T00:49:04.8062046Z running benchmark:  74% 37/50 [00:05<00:02,  6.48it/s]
2025-10-10T00:49:04.9536904Z running benchmark:  76% 38/50 [00:05<00:01,  6.52it/s]
2025-10-10T00:49:05.1167492Z running benchmark:  78% 39/50 [00:06<00:01,  6.59it/s]
2025-10-10T00:49:05.2728423Z running benchmark:  80% 40/50 [00:06<00:01,  6.45it/s]
2025-10-10T00:49:05.4264068Z running benchmark:  82% 41/50 [00:06<00:01,  6.44it/s]
2025-10-10T00:49:05.5742297Z running benchmark:  84% 42/50 [00:06<00:01,  6.46it/s]
2025-10-10T00:49:05.7256281Z running benchmark:  86% 43/50 [00:06<00:01,  6.55it/s]
2025-10-10T00:49:05.8766244Z running benchmark:  88% 44/50 [00:06<00:00,  6.57it/s]
2025-10-10T00:49:06.0245286Z running benchmark:  90% 45/50 [00:06<00:00,  6.58it/s]
2025-10-10T00:49:06.1930746Z running benchmark:  92% 46/50 [00:07<00:00,  6.64it/s]
2025-10-10T00:49:06.3455239Z running benchmark:  94% 47/50 [00:07<00:00,  6.41it/s]
2025-10-10T00:49:06.4928227Z running benchmark:  96% 48/50 [00:07<00:00,  6.45it/s]
2025-10-10T00:49:06.6416529Z running benchmark:  98% 49/50 [00:07<00:00,  6.55it/s]
2025-10-10T00:49:06.6417073Z running benchmark: 100% 50/50 [00:07<00:00,  6.60it/s]
2025-10-10T00:49:06.6417602Z running benchmark: 100% 50/50 [00:07<00:00,  6.50it/s]
2025-10-10T00:49:06.6662813Z 1.853x
2025-10-10T00:49:06.6664284Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:07.6137197Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:49:07.6152603Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:49:07.6153257Z cpu,resnet50,32,1.853104,52.701775,15.944446,0.962386,372.517274,387.076915,175,1,0,0,0,0,1
2025-10-10T00:49:07.6153878Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv -t 1.67742767 -s 0.99
2025-10-10T00:49:07.8626067Z resnet50                           1.853104
2025-10-10T00:49:07.9008436Z + IFS=,
2025-10-10T00:49:07.9008659Z + read -r -a model_cfg
2025-10-10T00:49:07.9008912Z + local model_name=mobilenet_v3_large
2025-10-10T00:49:07.9009154Z + local data_type=float32
2025-10-10T00:49:07.9009360Z + local speedup_target=2.63311706
2025-10-10T00:49:07.9009583Z + local backend=inductor
2025-10-10T00:49:07.9009811Z + [[ cpp == \c\p\p ]]
2025-10-10T00:49:07.9010023Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-10-10T00:49:07.9010258Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-10-10T00:49:07.9010782Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv
2025-10-10T00:49:07.9011287Z + [[ static == \d\y\n\a\m\i\c ]]
2025-10-10T00:49:07.9012152Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only mobilenet_v3_large --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv
2025-10-10T00:49:08.2312573Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:49:08.2314063Z   import pynvml  # type: ignore[import]
2025-10-10T00:49:09.9428058Z 
2025-10-10T00:49:10.3702301Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:49:10.3702607Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:49:10.3713972Z cpu  eval  mobilenet_v3_large                 
2025-10-10T00:49:12.3824080Z skipping cudagraphs due to cpp wrapper enabled
2025-10-10T00:49:27.4605714Z 
2025-10-10T00:49:27.5617721Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:49:27.6619435Z running benchmark:   6% 3/50 [00:00<00:01, 29.72it/s]
2025-10-10T00:49:27.7950766Z running benchmark:  12% 6/50 [00:00<00:01, 29.85it/s]
2025-10-10T00:49:27.9279452Z running benchmark:  20% 10/50 [00:00<00:01, 29.95it/s]
2025-10-10T00:49:28.0634384Z running benchmark:  28% 14/50 [00:00<00:01, 30.01it/s]
2025-10-10T00:49:28.1640417Z running benchmark:  36% 18/50 [00:00<00:01, 29.82it/s]
2025-10-10T00:49:28.2959635Z running benchmark:  42% 21/50 [00:00<00:00, 29.82it/s]
2025-10-10T00:49:28.4271241Z running benchmark:  50% 25/50 [00:00<00:00, 30.00it/s]
2025-10-10T00:49:28.5582670Z running benchmark:  58% 29/50 [00:00<00:00, 30.17it/s]
2025-10-10T00:49:28.6894067Z running benchmark:  66% 33/50 [00:01<00:00, 30.27it/s]
2025-10-10T00:49:28.8206488Z running benchmark:  74% 37/50 [00:01<00:00, 30.35it/s]
2025-10-10T00:49:28.9510227Z running benchmark:  82% 41/50 [00:01<00:00, 30.39it/s]
2025-10-10T00:49:29.0812149Z running benchmark:  90% 45/50 [00:01<00:00, 30.48it/s]
2025-10-10T00:49:29.1158025Z running benchmark:  98% 49/50 [00:01<00:00, 30.55it/s]
2025-10-10T00:49:29.1158515Z running benchmark: 100% 50/50 [00:01<00:00, 30.21it/s]
2025-10-10T00:49:29.1380672Z 2.977x
2025-10-10T00:49:29.1381145Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:30.0864231Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv
2025-10-10T00:49:30.0881802Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:49:30.0882585Z cpu,mobilenet_v3_large,32,2.976736,8.017725,15.957790,0.942681,205.667533,218.173030,187,1,0,0,0,0,1
2025-10-10T00:49:30.0883364Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv -t 2.63311706 -s 0.99
2025-10-10T00:49:30.3366689Z mobilenet_v3_large                 2.976736
2025-10-10T00:49:30.3734369Z + IFS=,
2025-10-10T00:49:30.3734608Z + read -r -a model_cfg
2025-10-10T00:49:30.3734838Z + local model_name=functorch_maml_omniglot
2025-10-10T00:49:30.3735089Z + local data_type=float32
2025-10-10T00:49:30.3735303Z + local speedup_target=1.126799
2025-10-10T00:49:30.3735520Z + local backend=inductor
2025-10-10T00:49:30.3735718Z + [[ cpp == \c\p\p ]]
2025-10-10T00:49:30.3735948Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-10-10T00:49:30.3736189Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-10-10T00:49:30.3736713Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:49:30.3737226Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-10-10T00:49:30.3738216Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only functorch_maml_omniglot --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:49:30.7035284Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:49:30.7036840Z   import pynvml  # type: ignore[import]
2025-10-10T00:49:32.4173293Z 
2025-10-10T00:49:32.5320005Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:49:32.5320408Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:49:32.5320778Z cpu  eval  functorch_maml_omniglot            
2025-10-10T00:49:33.4328246Z skipping cudagraphs due to cpp wrapper enabled
2025-10-10T00:49:42.6192438Z 
2025-10-10T00:49:42.6657810Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:49:42.6658340Z running benchmark: 100% 50/50 [00:00<00:00, 1073.26it/s]
2025-10-10T00:49:42.6848246Z 1.927x
2025-10-10T00:49:42.6848764Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:49:43.4594304Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:49:43.4610013Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:49:43.4610872Z cpu,functorch_maml_omniglot,1,1.927261,0.270165,9.289181,0.800028,50.935398,63.666995,14,1,0,0,0,0,1
2025-10-10T00:49:43.4611757Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv -t 1.126799 -s 0.99
2025-10-10T00:49:43.7064241Z functorch_maml_omniglot            1.927261
2025-10-10T00:49:43.7439656Z + IFS=,
2025-10-10T00:49:43.7439887Z + read -r -a model_cfg
2025-10-10T00:49:43.7440102Z + local model_name=yolov3
2025-10-10T00:49:43.7440298Z + local data_type=float32
2025-10-10T00:49:43.7440500Z + local speedup_target=1.40687424
2025-10-10T00:49:43.7440729Z + local backend=export-aot-inductor
2025-10-10T00:49:43.7440957Z + [[ default == \c\p\p ]]
2025-10-10T00:49:43.7441167Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-10-10T00:49:43.7441687Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-10-10T00:49:43.7442176Z + [[ static == \d\y\n\a\m\i\c ]]
2025-10-10T00:49:43.7443029Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only yolov3 --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-10-10T00:49:44.0681161Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:49:44.0682629Z   import pynvml  # type: ignore[import]
2025-10-10T00:49:45.7875933Z 
2025-10-10T00:49:47.1689462Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:49:47.1689907Z loading model: 0it [00:01, ?it/s]
2025-10-10T00:49:47.1708886Z cpu  eval  yolov3                             
2025-10-10T00:49:50.0321861Z skipping cudagraphs due to cpp wrapper enabled
2025-10-10T00:50:13.4065696Z 
2025-10-10T00:50:13.6916999Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:50:13.9765704Z running benchmark:   2% 1/50 [00:00<00:14,  3.50it/s]
2025-10-10T00:50:14.2466727Z running benchmark:   4% 2/50 [00:00<00:13,  3.51it/s]
2025-10-10T00:50:14.5159669Z running benchmark:   6% 3/50 [00:00<00:13,  3.59it/s]
2025-10-10T00:50:14.7848410Z running benchmark:   8% 4/50 [00:01<00:12,  3.64it/s]
2025-10-10T00:50:15.0679588Z running benchmark:  10% 5/50 [00:01<00:12,  3.67it/s]
2025-10-10T00:50:15.3354302Z running benchmark:  12% 6/50 [00:01<00:12,  3.62it/s]
2025-10-10T00:50:15.6014031Z running benchmark:  14% 7/50 [00:01<00:11,  3.66it/s]
2025-10-10T00:50:15.8824684Z running benchmark:  16% 8/50 [00:02<00:11,  3.69it/s]
2025-10-10T00:50:16.1767276Z running benchmark:  18% 9/50 [00:02<00:11,  3.65it/s]
2025-10-10T00:50:16.4437627Z running benchmark:  20% 10/50 [00:02<00:11,  3.57it/s]
2025-10-10T00:50:16.7307780Z running benchmark:  22% 11/50 [00:03<00:10,  3.62it/s]
2025-10-10T00:50:16.9987612Z running benchmark:  24% 12/50 [00:03<00:10,  3.58it/s]
2025-10-10T00:50:17.2872275Z running benchmark:  26% 13/50 [00:03<00:10,  3.62it/s]
2025-10-10T00:50:17.5661855Z running benchmark:  28% 14/50 [00:03<00:10,  3.57it/s]
2025-10-10T00:50:17.8454841Z running benchmark:  30% 15/50 [00:04<00:09,  3.58it/s]
2025-10-10T00:50:18.1130934Z running benchmark:  32% 16/50 [00:04<00:09,  3.58it/s]
2025-10-10T00:50:18.4071084Z running benchmark:  34% 17/50 [00:04<00:09,  3.62it/s]
2025-10-10T00:50:18.6740713Z running benchmark:  36% 18/50 [00:05<00:09,  3.55it/s]
2025-10-10T00:50:18.9593665Z running benchmark:  38% 19/50 [00:05<00:08,  3.61it/s]
2025-10-10T00:50:19.2292533Z running benchmark:  40% 20/50 [00:05<00:08,  3.58it/s]
2025-10-10T00:50:19.5131956Z running benchmark:  42% 21/50 [00:05<00:08,  3.61it/s]
2025-10-10T00:50:19.7850052Z running benchmark:  44% 22/50 [00:06<00:07,  3.59it/s]
2025-10-10T00:50:20.0602069Z running benchmark:  46% 23/50 [00:06<00:07,  3.61it/s]
2025-10-10T00:50:20.3307596Z running benchmark:  48% 24/50 [00:06<00:07,  3.62it/s]
2025-10-10T00:50:20.6187079Z running benchmark:  50% 25/50 [00:06<00:06,  3.64it/s]
2025-10-10T00:50:20.9089961Z running benchmark:  52% 26/50 [00:07<00:06,  3.59it/s]
2025-10-10T00:50:21.1827051Z running benchmark:  54% 27/50 [00:07<00:06,  3.55it/s]
2025-10-10T00:50:21.4525483Z running benchmark:  56% 28/50 [00:07<00:06,  3.58it/s]
2025-10-10T00:50:21.7380347Z running benchmark:  58% 29/50 [00:08<00:05,  3.61it/s]
2025-10-10T00:50:22.0097284Z running benchmark:  60% 30/50 [00:08<00:05,  3.58it/s]
2025-10-10T00:50:22.2825257Z running benchmark:  62% 31/50 [00:08<00:05,  3.61it/s]
2025-10-10T00:50:22.5513562Z running benchmark:  64% 32/50 [00:08<00:04,  3.63it/s]
2025-10-10T00:50:22.8450105Z running benchmark:  66% 33/50 [00:09<00:04,  3.65it/s]
2025-10-10T00:50:23.1145928Z running benchmark:  68% 34/50 [00:09<00:04,  3.58it/s]
2025-10-10T00:50:23.3842675Z running benchmark:  70% 35/50 [00:09<00:04,  3.61it/s]
2025-10-10T00:50:23.6695851Z running benchmark:  72% 36/50 [00:09<00:03,  3.64it/s]
2025-10-10T00:50:23.9458663Z running benchmark:  74% 37/50 [00:10<00:03,  3.60it/s]
2025-10-10T00:50:24.2294798Z running benchmark:  76% 38/50 [00:10<00:03,  3.61it/s]
2025-10-10T00:50:24.4964493Z running benchmark:  78% 39/50 [00:10<00:03,  3.58it/s]
2025-10-10T00:50:24.7828295Z running benchmark:  80% 40/50 [00:11<00:02,  3.63it/s]
2025-10-10T00:50:25.0555953Z running benchmark:  82% 41/50 [00:11<00:02,  3.59it/s]
2025-10-10T00:50:25.3392142Z running benchmark:  84% 42/50 [00:11<00:02,  3.61it/s]
2025-10-10T00:50:25.6046826Z running benchmark:  86% 43/50 [00:11<00:01,  3.58it/s]
2025-10-10T00:50:25.8980669Z running benchmark:  88% 44/50 [00:12<00:01,  3.64it/s]
2025-10-10T00:50:26.1659298Z running benchmark:  90% 45/50 [00:12<00:01,  3.57it/s]
2025-10-10T00:50:26.4458615Z running benchmark:  92% 46/50 [00:12<00:01,  3.61it/s]
2025-10-10T00:50:26.7129067Z running benchmark:  94% 47/50 [00:13<00:00,  3.60it/s]
2025-10-10T00:50:27.0062908Z running benchmark:  96% 48/50 [00:13<00:00,  3.64it/s]
2025-10-10T00:50:27.2766466Z running benchmark:  98% 49/50 [00:13<00:00,  3.57it/s]
2025-10-10T00:50:27.2766981Z running benchmark: 100% 50/50 [00:13<00:00,  3.61it/s]
2025-10-10T00:50:27.2767365Z running benchmark: 100% 50/50 [00:13<00:00,  3.60it/s]
2025-10-10T00:50:27.3002607Z 1.559x
2025-10-10T00:50:27.3005122Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:28.5179842Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-10-10T00:50:28.5193134Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:50:28.5193798Z cpu,yolov3,8,1.559483,105.965909,24.318685,0.912257,477.693952,523.639603,0,0,0,0,0,0,1
2025-10-10T00:50:28.5194432Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv -t 1.40687424 -s 0.99
2025-10-10T00:50:28.7696229Z yolov3                             1.559483
2025-10-10T00:50:28.8069951Z + IFS=,
2025-10-10T00:50:28.8070194Z + read -r -a model_cfg
2025-10-10T00:50:28.8070414Z + local model_name=mobilenet_v2
2025-10-10T00:50:28.8070969Z + local data_type=float32
2025-10-10T00:50:28.8071188Z + local speedup_target=2.90375357
2025-10-10T00:50:28.8071423Z + local backend=export-aot-inductor
2025-10-10T00:50:28.8071660Z + [[ default == \c\p\p ]]
2025-10-10T00:50:28.8071865Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-10-10T00:50:28.8072442Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-10-10T00:50:28.8072962Z + [[ static == \d\y\n\a\m\i\c ]]
2025-10-10T00:50:28.8073868Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only mobilenet_v2 --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-10-10T00:50:29.1757264Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:50:29.1758742Z   import pynvml  # type: ignore[import]
2025-10-10T00:50:30.8895380Z 
2025-10-10T00:50:31.2614160Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:50:31.2615250Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:50:31.2629815Z cpu  eval  mobilenet_v2                       
2025-10-10T00:50:32.8563854Z skipping cudagraphs due to cpp wrapper enabled
2025-10-10T00:50:47.6612303Z 
2025-10-10T00:50:47.7663770Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:50:47.8779495Z running benchmark:   8% 4/50 [00:00<00:01, 38.01it/s]
2025-10-10T00:50:47.9872429Z running benchmark:  18% 9/50 [00:00<00:00, 42.09it/s]
2025-10-10T00:50:48.0959369Z running benchmark:  28% 14/50 [00:00<00:00, 43.75it/s]
2025-10-10T00:50:48.2051972Z running benchmark:  38% 19/50 [00:00<00:00, 44.64it/s]
2025-10-10T00:50:48.3145296Z running benchmark:  48% 24/50 [00:00<00:00, 45.04it/s]
2025-10-10T00:50:48.4236899Z running benchmark:  58% 29/50 [00:00<00:00, 45.28it/s]
2025-10-10T00:50:48.5319538Z running benchmark:  68% 34/50 [00:00<00:00, 45.45it/s]
2025-10-10T00:50:48.6406834Z running benchmark:  78% 39/50 [00:00<00:00, 45.68it/s]
2025-10-10T00:50:48.7492887Z running benchmark:  88% 44/50 [00:00<00:00, 45.78it/s]
2025-10-10T00:50:48.7714902Z running benchmark:  98% 49/50 [00:01<00:00, 45.86it/s]
2025-10-10T00:50:48.7715411Z running benchmark: 100% 50/50 [00:01<00:00, 45.02it/s]
2025-10-10T00:50:48.7920159Z 3.136x
2025-10-10T00:50:48.7920599Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:50:49.7335191Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv
2025-10-10T00:50:49.7353280Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:50:49.7354114Z cpu,mobilenet_v2,16,3.136281,5.024517,16.024575,0.935527,184.122163,196.811162,0,0,0,0,0,0,1
2025-10-10T00:50:49.7355235Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv -t 2.90375357 -s 0.99
2025-10-10T00:50:49.9835937Z mobilenet_v2                       3.136281
2025-10-10T00:50:50.0207860Z + IFS=,
2025-10-10T00:50:50.0208081Z + read -r -a model_cfg
2025-10-10T00:50:50.0208303Z + local model_name=resnext50_32x4d
2025-10-10T00:50:50.0208542Z + local data_type=float32
2025-10-10T00:50:50.0208774Z + local speedup_target=1.49299689
2025-10-10T00:50:50.0209039Z + local backend=export-aot-inductor
2025-10-10T00:50:50.0209265Z + [[ default == \c\p\p ]]
2025-10-10T00:50:50.0209473Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-10-10T00:50:50.0210320Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:50:50.0210856Z + [[ dynamic == \d\y\n\a\m\i\c ]]
2025-10-10T00:50:50.0211888Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --float32 -dcpu -n50 --only resnext50_32x4d --dynamic-shapes --dynamic-batch-only --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:50:50.3611171Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:50:50.3612587Z   import pynvml  # type: ignore[import]
2025-10-10T00:50:52.0795637Z 
2025-10-10T00:50:52.3733609Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/resnext50_32x4d-7cdf4587.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/resnext50_32x4d-7cdf4587.pth
2025-10-10T00:50:52.3891751Z 
2025-10-10T00:50:52.3891759Z 
2025-10-10T00:50:52.4905110Z   0% 0.00/95.8M [00:00<?, ?B/s]
2025-10-10T00:50:52.4905342Z 
2025-10-10T00:50:52.5911403Z  44% 41.8M/95.8M [00:00<00:00, 434MB/s]
2025-10-10T00:50:52.5911648Z 
2025-10-10T00:50:52.6162086Z  87% 83.1M/95.8M [00:00<00:00, 432MB/s]
2025-10-10T00:50:52.6162327Z 100% 95.8M/95.8M [00:00<00:00, 443MB/s]
2025-10-10T00:50:52.8849335Z 
2025-10-10T00:50:52.8849847Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:50:52.8857436Z cpu  eval  resnext50_32x4d                    
2025-10-10T00:50:54.4943082Z skipping cudagraphs due to cpp wrapper enabled
2025-10-10T00:51:10.0814158Z 
2025-10-10T00:51:10.1879019Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:51:10.3277848Z running benchmark:   4% 2/50 [00:00<00:02, 18.76it/s]
2025-10-10T00:51:10.4671683Z running benchmark:  10% 5/50 [00:00<00:02, 20.50it/s]
2025-10-10T00:51:10.6057183Z running benchmark:  16% 8/50 [00:00<00:02, 20.99it/s]
2025-10-10T00:51:10.7517498Z running benchmark:  22% 11/50 [00:00<00:01, 21.26it/s]
2025-10-10T00:51:10.8932398Z running benchmark:  28% 14/50 [00:00<00:01, 20.99it/s]
2025-10-10T00:51:11.0323258Z running benchmark:  34% 17/50 [00:00<00:01, 21.06it/s]
2025-10-10T00:51:11.1720541Z running benchmark:  40% 20/50 [00:00<00:01, 21.23it/s]
2025-10-10T00:51:11.3121966Z running benchmark:  46% 23/50 [00:01<00:01, 21.30it/s]
2025-10-10T00:51:11.4518608Z running benchmark:  52% 26/50 [00:01<00:01, 21.34it/s]
2025-10-10T00:51:11.5912887Z running benchmark:  58% 29/50 [00:01<00:00, 21.38it/s]
2025-10-10T00:51:11.7303720Z running benchmark:  64% 32/50 [00:01<00:00, 21.42it/s]
2025-10-10T00:51:11.8779471Z running benchmark:  70% 35/50 [00:01<00:00, 21.47it/s]
2025-10-10T00:51:12.0170643Z running benchmark:  76% 38/50 [00:01<00:00, 21.11it/s]
2025-10-10T00:51:12.1575891Z running benchmark:  82% 41/50 [00:01<00:00, 21.25it/s]
2025-10-10T00:51:12.3106927Z running benchmark:  88% 44/50 [00:02<00:00, 21.28it/s]
2025-10-10T00:51:12.4546303Z running benchmark:  94% 47/50 [00:02<00:00, 20.74it/s]
2025-10-10T00:51:12.4546790Z running benchmark: 100% 50/50 [00:02<00:00, 20.77it/s]
2025-10-10T00:51:12.4547587Z running benchmark: 100% 50/50 [00:02<00:00, 21.06it/s]
2025-10-10T00:51:12.4761042Z 1.915x
2025-10-10T00:51:12.4762441Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:13.4138945Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv
2025-10-10T00:51:13.4152603Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:51:13.4153650Z cpu,resnext50_32x4d,8,1.914596,15.795436,16.668064,0.866124,169.427763,195.615949,0,0,0,0,0,0,1
2025-10-10T00:51:13.4154314Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv -t 1.49299689 -s 0.99
2025-10-10T00:51:13.6665173Z resnext50_32x4d                    1.914596
2025-10-10T00:51:13.7048115Z + IFS=,
2025-10-10T00:51:13.7048337Z + read -r -a model_cfg
2025-10-10T00:51:13.7048582Z + local model_name=resnext50_32x4d
2025-10-10T00:51:13.7048813Z + local data_type=amp
2025-10-10T00:51:13.7049007Z + local speedup_target=1.47023111
2025-10-10T00:51:13.7049230Z + local backend=inductor
2025-10-10T00:51:13.7049436Z + [[ default == \c\p\p ]]
2025-10-10T00:51:13.7049644Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-10-10T00:51:13.7050134Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:51:13.7050652Z + [[ static == \d\y\n\a\m\i\c ]]
2025-10-10T00:51:13.7051504Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only resnext50_32x4d --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:51:14.0430437Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:51:14.0431957Z   import pynvml  # type: ignore[import]
2025-10-10T00:51:15.7580912Z 
2025-10-10T00:51:16.3118035Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:51:16.3118360Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:51:16.3118606Z cpu  eval  resnext50_32x4d                    
2025-10-10T00:51:22.3534889Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3535327Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3535656Z     return mod(*inputs)
2025-10-10T00:51:22.3536005Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3536395Z     return self._forward_impl(x)
2025-10-10T00:51:22.3536762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 268, in _forward_impl
2025-10-10T00:51:22.3537101Z     x = self.conv1(x)
2025-10-10T00:51:22.3537210Z 
2025-10-10T00:51:22.3537318Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3537661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3537975Z     return mod(*inputs)
2025-10-10T00:51:22.3538285Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3538630Z     return self._forward_impl(x)
2025-10-10T00:51:22.3538970Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-10-10T00:51:22.3539312Z     x = self.relu(x)
2025-10-10T00:51:22.3539406Z 
2025-10-10T00:51:22.3539801Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3540182Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3540485Z     return mod(*inputs)
2025-10-10T00:51:22.3540796Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3541134Z     return self._forward_impl(x)
2025-10-10T00:51:22.3541473Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 270, in _forward_impl
2025-10-10T00:51:22.3541799Z     x = self.relu(x)
2025-10-10T00:51:22.3542003Z 
2025-10-10T00:51:22.3542102Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3542435Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3542735Z     return mod(*inputs)
2025-10-10T00:51:22.3543181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3543512Z     return self._forward_impl(x)
2025-10-10T00:51:22.3543842Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 271, in _forward_impl
2025-10-10T00:51:22.3544177Z     x = self.maxpool(x)
2025-10-10T00:51:22.3544272Z 
2025-10-10T00:51:22.3544374Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3544704Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3545003Z     return mod(*inputs)
2025-10-10T00:51:22.3545310Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3545641Z     return self._forward_impl(x)
2025-10-10T00:51:22.3545963Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3546295Z     x = self.layer1(x)
2025-10-10T00:51:22.3546600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3546923Z     out = self.relu(out)
2025-10-10T00:51:22.3547025Z 
2025-10-10T00:51:22.3547128Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3547453Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3547751Z     return mod(*inputs)
2025-10-10T00:51:22.3548048Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3548377Z     return self._forward_impl(x)
2025-10-10T00:51:22.3548696Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3549029Z     x = self.layer1(x)
2025-10-10T00:51:22.3549334Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3549659Z     out = self.relu(out)
2025-10-10T00:51:22.3549761Z 
2025-10-10T00:51:22.3549863Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3550192Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3550491Z     return mod(*inputs)
2025-10-10T00:51:22.3550792Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3551118Z     return self._forward_impl(x)
2025-10-10T00:51:22.3551441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3551775Z     x = self.layer1(x)
2025-10-10T00:51:22.3552079Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3552399Z     out = self.relu(out)
2025-10-10T00:51:22.3552498Z 
2025-10-10T00:51:22.3552602Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3553001Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3553311Z     return mod(*inputs)
2025-10-10T00:51:22.3553614Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3553943Z     return self._forward_impl(x)
2025-10-10T00:51:22.3554268Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3554604Z     x = self.layer1(x)
2025-10-10T00:51:22.3554907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3555290Z     out = self.relu(out)
2025-10-10T00:51:22.3555390Z 
2025-10-10T00:51:22.3555495Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3555830Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3556131Z     return mod(*inputs)
2025-10-10T00:51:22.3556433Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3556757Z     return self._forward_impl(x)
2025-10-10T00:51:22.3557080Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3557413Z     x = self.layer1(x)
2025-10-10T00:51:22.3557707Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:51:22.3558028Z     out = self.relu(out)
2025-10-10T00:51:22.3558125Z 
2025-10-10T00:51:22.3558228Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3558553Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3558849Z     return mod(*inputs)
2025-10-10T00:51:22.3559154Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3559477Z     return self._forward_impl(x)
2025-10-10T00:51:22.3559807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3560133Z     x = self.layer1(x)
2025-10-10T00:51:22.3560429Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:51:22.3560749Z     out = self.relu(out)
2025-10-10T00:51:22.3560846Z 
2025-10-10T00:51:22.3560931Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3561155Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3561490Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3561789Z     return mod(*inputs)
2025-10-10T00:51:22.3562090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3562409Z     return self._forward_impl(x)
2025-10-10T00:51:22.3562742Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3563075Z     x = self.layer1(x)
2025-10-10T00:51:22.3563374Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3563693Z     out = self.relu(out)
2025-10-10T00:51:22.3563792Z 
2025-10-10T00:51:22.3563889Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3564224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3564529Z     return mod(*inputs)
2025-10-10T00:51:22.3564832Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3565151Z     return self._forward_impl(x)
2025-10-10T00:51:22.3565544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3565891Z     x = self.layer1(x)
2025-10-10T00:51:22.3566188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3566509Z     out = self.relu(out)
2025-10-10T00:51:22.3566606Z 
2025-10-10T00:51:22.3566703Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3567043Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3567344Z     return mod(*inputs)
2025-10-10T00:51:22.3567682Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3568008Z     return self._forward_impl(x)
2025-10-10T00:51:22.3568329Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3568659Z     x = self.layer1(x)
2025-10-10T00:51:22.3568959Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3569278Z     out = self.relu(out)
2025-10-10T00:51:22.3569377Z 
2025-10-10T00:51:22.3569471Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3569803Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3570098Z     return mod(*inputs)
2025-10-10T00:51:22.3570395Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3570725Z     return self._forward_impl(x)
2025-10-10T00:51:22.3571044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3571374Z     x = self.layer1(x)
2025-10-10T00:51:22.3571670Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3571986Z     out = self.relu(out)
2025-10-10T00:51:22.3572084Z 
2025-10-10T00:51:22.3572160Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3572388Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3572722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3573018Z     return mod(*inputs)
2025-10-10T00:51:22.3573312Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3573636Z     return self._forward_impl(x)
2025-10-10T00:51:22.3573967Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3574295Z     x = self.layer1(x)
2025-10-10T00:51:22.3574591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3574899Z     out = self.relu(out)
2025-10-10T00:51:22.3575005Z 
2025-10-10T00:51:22.3575100Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3575432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3575729Z     return mod(*inputs)
2025-10-10T00:51:22.3576019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3576358Z     return self._forward_impl(x)
2025-10-10T00:51:22.3576683Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3577019Z     x = self.layer1(x)
2025-10-10T00:51:22.3577316Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3577627Z     out = self.relu(out)
2025-10-10T00:51:22.3577732Z 
2025-10-10T00:51:22.3577828Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3578200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3578504Z     return mod(*inputs)
2025-10-10T00:51:22.3578799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3579127Z     return self._forward_impl(x)
2025-10-10T00:51:22.3579460Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3579795Z     x = self.layer1(x)
2025-10-10T00:51:22.3580090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3581412Z     out = self.relu(out)
2025-10-10T00:51:22.3581527Z 
2025-10-10T00:51:22.3581628Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3581970Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3582275Z     return mod(*inputs)
2025-10-10T00:51:22.3582571Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3582900Z     return self._forward_impl(x)
2025-10-10T00:51:22.3583235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 273, in _forward_impl
2025-10-10T00:51:22.3583574Z     x = self.layer1(x)
2025-10-10T00:51:22.3583878Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3584196Z     out = self.relu(out)
2025-10-10T00:51:22.3584309Z 
2025-10-10T00:51:22.3584386Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3584617Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3584953Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3585242Z     return mod(*inputs)
2025-10-10T00:51:22.3585551Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3585881Z     return self._forward_impl(x)
2025-10-10T00:51:22.3586216Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3586553Z     x = self.layer2(x)
2025-10-10T00:51:22.3586844Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3587162Z     out = self.relu(out)
2025-10-10T00:51:22.3587264Z 
2025-10-10T00:51:22.3587360Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3587700Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3587988Z     return mod(*inputs)
2025-10-10T00:51:22.3588292Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3588622Z     return self._forward_impl(x)
2025-10-10T00:51:22.3588954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3589286Z     x = self.layer2(x)
2025-10-10T00:51:22.3589578Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3589898Z     out = self.relu(out)
2025-10-10T00:51:22.3590004Z 
2025-10-10T00:51:22.3590100Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3590434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3590730Z     return mod(*inputs)
2025-10-10T00:51:22.3591036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3591362Z     return self._forward_impl(x)
2025-10-10T00:51:22.3591738Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3592073Z     x = self.layer2(x)
2025-10-10T00:51:22.3592365Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3592686Z     out = self.relu(out)
2025-10-10T00:51:22.3592794Z 
2025-10-10T00:51:22.3592891Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3593225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3593519Z     return mod(*inputs)
2025-10-10T00:51:22.3593825Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3594190Z     return self._forward_impl(x)
2025-10-10T00:51:22.3594532Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3594883Z     x = self.layer2(x)
2025-10-10T00:51:22.3595182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3595507Z     out = self.relu(out)
2025-10-10T00:51:22.3595612Z 
2025-10-10T00:51:22.3595709Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3596042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3596332Z     return mod(*inputs)
2025-10-10T00:51:22.3596638Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3596965Z     return self._forward_impl(x)
2025-10-10T00:51:22.3597302Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3597633Z     x = self.layer2(x)
2025-10-10T00:51:22.3597919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:51:22.3598330Z     out = self.relu(out)
2025-10-10T00:51:22.3598442Z 
2025-10-10T00:51:22.3598541Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3598885Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3599197Z     return mod(*inputs)
2025-10-10T00:51:22.3599498Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3599836Z     return self._forward_impl(x)
2025-10-10T00:51:22.3600181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3600530Z     x = self.layer2(x)
2025-10-10T00:51:22.3600830Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:51:22.3601160Z     out = self.relu(out)
2025-10-10T00:51:22.3601265Z 
2025-10-10T00:51:22.3601342Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3601574Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3601908Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3602214Z     return mod(*inputs)
2025-10-10T00:51:22.3602517Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3602848Z     return self._forward_impl(x)
2025-10-10T00:51:22.3603184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3603521Z     x = self.layer2(x)
2025-10-10T00:51:22.3603828Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3604157Z     out = self.relu(out)
2025-10-10T00:51:22.3604257Z 
2025-10-10T00:51:22.3604365Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3604771Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3605075Z     return mod(*inputs)
2025-10-10T00:51:22.3605379Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3605708Z     return self._forward_impl(x)
2025-10-10T00:51:22.3606039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3606365Z     x = self.layer2(x)
2025-10-10T00:51:22.3606669Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3607045Z     out = self.relu(out)
2025-10-10T00:51:22.3607144Z 
2025-10-10T00:51:22.3607251Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3607581Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3607880Z     return mod(*inputs)
2025-10-10T00:51:22.3608184Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3608511Z     return self._forward_impl(x)
2025-10-10T00:51:22.3608845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3609171Z     x = self.layer2(x)
2025-10-10T00:51:22.3609470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3609790Z     out = self.relu(out)
2025-10-10T00:51:22.3609887Z 
2025-10-10T00:51:22.3609997Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3610324Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3610623Z     return mod(*inputs)
2025-10-10T00:51:22.3610924Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3611253Z     return self._forward_impl(x)
2025-10-10T00:51:22.3611585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3611911Z     x = self.layer2(x)
2025-10-10T00:51:22.3612207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3612522Z     out = self.relu(out)
2025-10-10T00:51:22.3612620Z 
2025-10-10T00:51:22.3612706Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3612928Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3613264Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3613562Z     return mod(*inputs)
2025-10-10T00:51:22.3613865Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3614188Z     return self._forward_impl(x)
2025-10-10T00:51:22.3614512Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3614847Z     x = self.layer2(x)
2025-10-10T00:51:22.3615147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3615464Z     out = self.relu(out)
2025-10-10T00:51:22.3615559Z 
2025-10-10T00:51:22.3615658Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3615991Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3616289Z     return mod(*inputs)
2025-10-10T00:51:22.3616593Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3616914Z     return self._forward_impl(x)
2025-10-10T00:51:22.3617237Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3617631Z     x = self.layer2(x)
2025-10-10T00:51:22.3617933Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3618249Z     out = self.relu(out)
2025-10-10T00:51:22.3618346Z 
2025-10-10T00:51:22.3618443Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3618779Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3619073Z     return mod(*inputs)
2025-10-10T00:51:22.3619375Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3619734Z     return self._forward_impl(x)
2025-10-10T00:51:22.3620057Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3620390Z     x = self.layer2(x)
2025-10-10T00:51:22.3620692Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3621017Z     out = self.relu(out)
2025-10-10T00:51:22.3621115Z 
2025-10-10T00:51:22.3621211Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3621551Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3621851Z     return mod(*inputs)
2025-10-10T00:51:22.3622153Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3622498Z     return self._forward_impl(x)
2025-10-10T00:51:22.3622824Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3623159Z     x = self.layer2(x)
2025-10-10T00:51:22.3623454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3623772Z     out = self.relu(out)
2025-10-10T00:51:22.3623870Z 
2025-10-10T00:51:22.3623952Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3624179Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3624517Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3624817Z     return mod(*inputs)
2025-10-10T00:51:22.3625120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3625439Z     return self._forward_impl(x)
2025-10-10T00:51:22.3625771Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3626107Z     x = self.layer2(x)
2025-10-10T00:51:22.3626404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3626719Z     out = self.relu(out)
2025-10-10T00:51:22.3626828Z 
2025-10-10T00:51:22.3626929Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3627267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3627566Z     return mod(*inputs)
2025-10-10T00:51:22.3627867Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3628186Z     return self._forward_impl(x)
2025-10-10T00:51:22.3628515Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3628843Z     x = self.layer2(x)
2025-10-10T00:51:22.3629138Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3629449Z     out = self.relu(out)
2025-10-10T00:51:22.3629556Z 
2025-10-10T00:51:22.3629652Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3630032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3630334Z     return mod(*inputs)
2025-10-10T00:51:22.3630635Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3630955Z     return self._forward_impl(x)
2025-10-10T00:51:22.3631304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3631652Z     x = self.layer2(x)
2025-10-10T00:51:22.3631962Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3632319Z     out = self.relu(out)
2025-10-10T00:51:22.3632426Z 
2025-10-10T00:51:22.3632525Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3632870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3633178Z     return mod(*inputs)
2025-10-10T00:51:22.3633491Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3633819Z     return self._forward_impl(x)
2025-10-10T00:51:22.3634159Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 274, in _forward_impl
2025-10-10T00:51:22.3634512Z     x = self.layer2(x)
2025-10-10T00:51:22.3634808Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3635122Z     out = self.relu(out)
2025-10-10T00:51:22.3635230Z 
2025-10-10T00:51:22.3635308Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3635539Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3635870Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3636171Z     return mod(*inputs)
2025-10-10T00:51:22.3636465Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3636792Z     return self._forward_impl(x)
2025-10-10T00:51:22.3637125Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3637456Z     x = self.layer3(x)
2025-10-10T00:51:22.3637746Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3638066Z     out = self.relu(out)
2025-10-10T00:51:22.3638172Z 
2025-10-10T00:51:22.3638267Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3638603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3638905Z     return mod(*inputs)
2025-10-10T00:51:22.3639198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3639527Z     return self._forward_impl(x)
2025-10-10T00:51:22.3639860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3640192Z     x = self.layer3(x)
2025-10-10T00:51:22.3640481Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3640800Z     out = self.relu(out)
2025-10-10T00:51:22.3640907Z 
2025-10-10T00:51:22.3641002Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3641334Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3641630Z     return mod(*inputs)
2025-10-10T00:51:22.3641926Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3642253Z     return self._forward_impl(x)
2025-10-10T00:51:22.3642579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3642939Z     x = self.layer3(x)
2025-10-10T00:51:22.3643232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3643558Z     out = self.relu(out)
2025-10-10T00:51:22.3643662Z 
2025-10-10T00:51:22.3643759Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3644096Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3644393Z     return mod(*inputs)
2025-10-10T00:51:22.3644689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3645045Z     return self._forward_impl(x)
2025-10-10T00:51:22.3645378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3645714Z     x = self.layer3(x)
2025-10-10T00:51:22.3646006Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3646330Z     out = self.relu(out)
2025-10-10T00:51:22.3646434Z 
2025-10-10T00:51:22.3646529Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3646866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3647163Z     return mod(*inputs)
2025-10-10T00:51:22.3647458Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3647783Z     return self._forward_impl(x)
2025-10-10T00:51:22.3648116Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3648455Z     x = self.layer3(x)
2025-10-10T00:51:22.3648745Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:51:22.3649067Z     out = self.relu(out)
2025-10-10T00:51:22.3649175Z 
2025-10-10T00:51:22.3649275Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3649614Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3649916Z     return mod(*inputs)
2025-10-10T00:51:22.3650212Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3650543Z     return self._forward_impl(x)
2025-10-10T00:51:22.3650877Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3651214Z     x = self.layer3(x)
2025-10-10T00:51:22.3651511Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:51:22.3651836Z     out = self.relu(out)
2025-10-10T00:51:22.3651945Z 
2025-10-10T00:51:22.3652022Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3652248Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3652586Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3652882Z     return mod(*inputs)
2025-10-10T00:51:22.3653188Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3653515Z     return self._forward_impl(x)
2025-10-10T00:51:22.3653846Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3654173Z     x = self.layer3(x)
2025-10-10T00:51:22.3654474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3654803Z     out = self.relu(out)
2025-10-10T00:51:22.3654901Z 
2025-10-10T00:51:22.3655005Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3655343Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3655665Z     return mod(*inputs)
2025-10-10T00:51:22.3655966Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3656292Z     return self._forward_impl(x)
2025-10-10T00:51:22.3656621Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3656945Z     x = self.layer3(x)
2025-10-10T00:51:22.3657241Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3657558Z     out = self.relu(out)
2025-10-10T00:51:22.3657690Z 
2025-10-10T00:51:22.3657793Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3658125Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3658413Z     return mod(*inputs)
2025-10-10T00:51:22.3658717Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3659040Z     return self._forward_impl(x)
2025-10-10T00:51:22.3659369Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3659690Z     x = self.layer3(x)
2025-10-10T00:51:22.3659983Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3660298Z     out = self.relu(out)
2025-10-10T00:51:22.3660393Z 
2025-10-10T00:51:22.3660499Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3660833Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3661123Z     return mod(*inputs)
2025-10-10T00:51:22.3661420Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3661745Z     return self._forward_impl(x)
2025-10-10T00:51:22.3662074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3662397Z     x = self.layer3(x)
2025-10-10T00:51:22.3662695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3663012Z     out = self.relu(out)
2025-10-10T00:51:22.3663108Z 
2025-10-10T00:51:22.3663191Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3663417Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3663740Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3664044Z     return mod(*inputs)
2025-10-10T00:51:22.3664347Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3664672Z     return self._forward_impl(x)
2025-10-10T00:51:22.3664995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3665330Z     x = self.layer3(x)
2025-10-10T00:51:22.3665631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3665949Z     out = self.relu(out)
2025-10-10T00:51:22.3666045Z 
2025-10-10T00:51:22.3666147Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3666473Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3666770Z     return mod(*inputs)
2025-10-10T00:51:22.3667075Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3667398Z     return self._forward_impl(x)
2025-10-10T00:51:22.3667718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3668054Z     x = self.layer3(x)
2025-10-10T00:51:22.3668382Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3668707Z     out = self.relu(out)
2025-10-10T00:51:22.3668804Z 
2025-10-10T00:51:22.3668909Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3669233Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3669538Z     return mod(*inputs)
2025-10-10T00:51:22.3669837Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3670190Z     return self._forward_impl(x)
2025-10-10T00:51:22.3670514Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3670846Z     x = self.layer3(x)
2025-10-10T00:51:22.3671142Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3671460Z     out = self.relu(out)
2025-10-10T00:51:22.3671559Z 
2025-10-10T00:51:22.3671664Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3671992Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3672286Z     return mod(*inputs)
2025-10-10T00:51:22.3672585Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3672908Z     return self._forward_impl(x)
2025-10-10T00:51:22.3673231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3673564Z     x = self.layer3(x)
2025-10-10T00:51:22.3673860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3674179Z     out = self.relu(out)
2025-10-10T00:51:22.3674277Z 
2025-10-10T00:51:22.3674362Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3674586Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3674920Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3675220Z     return mod(*inputs)
2025-10-10T00:51:22.3675521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3675837Z     return self._forward_impl(x)
2025-10-10T00:51:22.3676169Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3676503Z     x = self.layer3(x)
2025-10-10T00:51:22.3676799Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3677116Z     out = self.relu(out)
2025-10-10T00:51:22.3677214Z 
2025-10-10T00:51:22.3677311Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3677650Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3677950Z     return mod(*inputs)
2025-10-10T00:51:22.3678261Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3678579Z     return self._forward_impl(x)
2025-10-10T00:51:22.3678910Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3679245Z     x = self.layer3(x)
2025-10-10T00:51:22.3679544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3679865Z     out = self.relu(out)
2025-10-10T00:51:22.3679962Z 
2025-10-10T00:51:22.3680059Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3680393Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3680690Z     return mod(*inputs)
2025-10-10T00:51:22.3681038Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3681363Z     return self._forward_impl(x)
2025-10-10T00:51:22.3681698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3682035Z     x = self.layer3(x)
2025-10-10T00:51:22.3682337Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3682661Z     out = self.relu(out)
2025-10-10T00:51:22.3682793Z 
2025-10-10T00:51:22.3682893Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3683238Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3683548Z     return mod(*inputs)
2025-10-10T00:51:22.3683858Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3684190Z     return self._forward_impl(x)
2025-10-10T00:51:22.3684534Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3684877Z     x = self.layer3(x)
2025-10-10T00:51:22.3685187Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3685514Z     out = self.relu(out)
2025-10-10T00:51:22.3685619Z 
2025-10-10T00:51:22.3685698Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3685933Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3686278Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3686585Z     return mod(*inputs)
2025-10-10T00:51:22.3686886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3687223Z     return self._forward_impl(x)
2025-10-10T00:51:22.3687562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3687907Z     x = self.layer3(x)
2025-10-10T00:51:22.3688215Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3688539Z     out = self.relu(out)
2025-10-10T00:51:22.3688649Z 
2025-10-10T00:51:22.3688749Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3689095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3689406Z     return mod(*inputs)
2025-10-10T00:51:22.3689711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3690048Z     return self._forward_impl(x)
2025-10-10T00:51:22.3690391Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3690736Z     x = self.layer3(x)
2025-10-10T00:51:22.3691044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3691365Z     out = self.relu(out)
2025-10-10T00:51:22.3691474Z 
2025-10-10T00:51:22.3691574Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3691918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3692225Z     return mod(*inputs)
2025-10-10T00:51:22.3692528Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3692867Z     return self._forward_impl(x)
2025-10-10T00:51:22.3693207Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3693551Z     x = self.layer3(x)
2025-10-10T00:51:22.3693889Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3694205Z     out = self.relu(out)
2025-10-10T00:51:22.3694313Z 
2025-10-10T00:51:22.3694409Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3694746Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3695044Z     return mod(*inputs)
2025-10-10T00:51:22.3695336Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3695663Z     return self._forward_impl(x)
2025-10-10T00:51:22.3696030Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3696365Z     x = self.layer3(x)
2025-10-10T00:51:22.3696659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3696968Z     out = self.relu(out)
2025-10-10T00:51:22.3697076Z 
2025-10-10T00:51:22.3697153Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3697380Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3697713Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3698006Z     return mod(*inputs)
2025-10-10T00:51:22.3698346Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3698674Z     return self._forward_impl(x)
2025-10-10T00:51:22.3699010Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3699350Z     x = self.layer3(x)
2025-10-10T00:51:22.3699640Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3699964Z     out = self.relu(out)
2025-10-10T00:51:22.3700064Z 
2025-10-10T00:51:22.3700176Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3700515Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3700810Z     return mod(*inputs)
2025-10-10T00:51:22.3701119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3701447Z     return self._forward_impl(x)
2025-10-10T00:51:22.3701778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3702113Z     x = self.layer3(x)
2025-10-10T00:51:22.3702404Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3702723Z     out = self.relu(out)
2025-10-10T00:51:22.3702826Z 
2025-10-10T00:51:22.3702923Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3703256Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3703545Z     return mod(*inputs)
2025-10-10T00:51:22.3703845Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3704169Z     return self._forward_impl(x)
2025-10-10T00:51:22.3704501Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3704833Z     x = self.layer3(x)
2025-10-10T00:51:22.3705121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3705444Z     out = self.relu(out)
2025-10-10T00:51:22.3705551Z 
2025-10-10T00:51:22.3705650Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3705990Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3706283Z     return mod(*inputs)
2025-10-10T00:51:22.3706646Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3706976Z     return self._forward_impl(x)
2025-10-10T00:51:22.3707304Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 275, in _forward_impl
2025-10-10T00:51:22.3707635Z     x = self.layer3(x)
2025-10-10T00:51:22.3707922Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3708240Z     out = self.relu(out)
2025-10-10T00:51:22.3708346Z 
2025-10-10T00:51:22.3708478Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3708710Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3709038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3709344Z     return mod(*inputs)
2025-10-10T00:51:22.3709653Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3709987Z     return self._forward_impl(x)
2025-10-10T00:51:22.3710320Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3710654Z     x = self.layer4(x)
2025-10-10T00:51:22.3710953Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3711274Z     out = self.relu(out)
2025-10-10T00:51:22.3711371Z 
2025-10-10T00:51:22.3711476Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3711809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3712109Z     return mod(*inputs)
2025-10-10T00:51:22.3712418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3712751Z     return self._forward_impl(x)
2025-10-10T00:51:22.3713089Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3713419Z     x = self.layer4(x)
2025-10-10T00:51:22.3713719Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3714040Z     out = self.relu(out)
2025-10-10T00:51:22.3714136Z 
2025-10-10T00:51:22.3714244Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3714572Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3714877Z     return mod(*inputs)
2025-10-10T00:51:22.3715181Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3715507Z     return self._forward_impl(x)
2025-10-10T00:51:22.3715836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3716167Z     x = self.layer4(x)
2025-10-10T00:51:22.3716470Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3716792Z     out = self.relu(out)
2025-10-10T00:51:22.3716889Z 
2025-10-10T00:51:22.3716994Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3717322Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3717622Z     return mod(*inputs)
2025-10-10T00:51:22.3717927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3718257Z     return self._forward_impl(x)
2025-10-10T00:51:22.3718591Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3718917Z     x = self.layer4(x)
2025-10-10T00:51:22.3719250Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3719573Z     out = self.relu(out)
2025-10-10T00:51:22.3719670Z 
2025-10-10T00:51:22.3719775Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3720105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3720407Z     return mod(*inputs)
2025-10-10T00:51:22.3720711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3721039Z     return self._forward_impl(x)
2025-10-10T00:51:22.3721414Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3721744Z     x = self.layer4(x)
2025-10-10T00:51:22.3722042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:51:22.3722361Z     out = self.relu(out)
2025-10-10T00:51:22.3722458Z 
2025-10-10T00:51:22.3722568Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3722892Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3723189Z     return mod(*inputs)
2025-10-10T00:51:22.3723490Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3723818Z     return self._forward_impl(x)
2025-10-10T00:51:22.3724147Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3724479Z     x = self.layer4(x)
2025-10-10T00:51:22.3724778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 161, in forward
2025-10-10T00:51:22.3725097Z     out = self.relu(out)
2025-10-10T00:51:22.3725193Z 
2025-10-10T00:51:22.3725276Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3725498Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3725834Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3726132Z     return mod(*inputs)
2025-10-10T00:51:22.3726436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3726758Z     return self._forward_impl(x)
2025-10-10T00:51:22.3727083Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3727414Z     x = self.layer4(x)
2025-10-10T00:51:22.3727712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3728029Z     out = self.relu(out)
2025-10-10T00:51:22.3728129Z 
2025-10-10T00:51:22.3728225Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3728557Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3728859Z     return mod(*inputs)
2025-10-10T00:51:22.3729158Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3729483Z     return self._forward_impl(x)
2025-10-10T00:51:22.3729807Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3730138Z     x = self.layer4(x)
2025-10-10T00:51:22.3730431Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3730751Z     out = self.relu(out)
2025-10-10T00:51:22.3730847Z 
2025-10-10T00:51:22.3730944Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3731277Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3731573Z     return mod(*inputs)
2025-10-10T00:51:22.3731904Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3732236Z     return self._forward_impl(x)
2025-10-10T00:51:22.3732558Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3732890Z     x = self.layer4(x)
2025-10-10T00:51:22.3733190Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3733513Z     out = self.relu(out)
2025-10-10T00:51:22.3733609Z 
2025-10-10T00:51:22.3733708Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3734090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3734399Z     return mod(*inputs)
2025-10-10T00:51:22.3734704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3735033Z     return self._forward_impl(x)
2025-10-10T00:51:22.3735361Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3735694Z     x = self.layer4(x)
2025-10-10T00:51:22.3735995Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3736317Z     out = self.relu(out)
2025-10-10T00:51:22.3736415Z 
2025-10-10T00:51:22.3736492Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3736719Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3737058Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3737365Z     return mod(*inputs)
2025-10-10T00:51:22.3737671Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3737994Z     return self._forward_impl(x)
2025-10-10T00:51:22.3738330Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3738666Z     x = self.layer4(x)
2025-10-10T00:51:22.3738965Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3739280Z     out = self.relu(out)
2025-10-10T00:51:22.3739385Z 
2025-10-10T00:51:22.3739482Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3739819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3740117Z     return mod(*inputs)
2025-10-10T00:51:22.3740422Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3740741Z     return self._forward_impl(x)
2025-10-10T00:51:22.3741074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3741410Z     x = self.layer4(x)
2025-10-10T00:51:22.3741709Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 148, in forward
2025-10-10T00:51:22.3742022Z     out = self.relu(out)
2025-10-10T00:51:22.3742126Z 
2025-10-10T00:51:22.3742223Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3742563Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3742867Z     return mod(*inputs)
2025-10-10T00:51:22.3743166Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3743487Z     return self._forward_impl(x)
2025-10-10T00:51:22.3743822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3744154Z     x = self.layer4(x)
2025-10-10T00:51:22.3744454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3744796Z     out = self.relu(out)
2025-10-10T00:51:22.3744904Z 
2025-10-10T00:51:22.3745003Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3745336Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3745632Z     return mod(*inputs)
2025-10-10T00:51:22.3745934Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3746253Z     return self._forward_impl(x)
2025-10-10T00:51:22.3746579Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 276, in _forward_impl
2025-10-10T00:51:22.3746944Z     x = self.layer4(x)
2025-10-10T00:51:22.3747246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 152, in forward
2025-10-10T00:51:22.3747559Z     out = self.relu(out)
2025-10-10T00:51:22.3747668Z 
2025-10-10T00:51:22.3747748Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3747954Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3748184Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:22.3748511Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:22.3748810Z     return mod(*inputs)
2025-10-10T00:51:22.3749111Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 285, in forward
2025-10-10T00:51:22.3749436Z     return self._forward_impl(x)
2025-10-10T00:51:22.3749762Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/resnet.py", line 278, in _forward_impl
2025-10-10T00:51:22.3750092Z     x = self.avgpool(x)
2025-10-10T00:51:22.3750195Z 
2025-10-10T00:51:22.3750270Z cudagraph partition due to non gpu ops
2025-10-10T00:51:22.3750471Z cudagraph partition due to non gpu ops
2025-10-10T00:51:30.8156490Z 
2025-10-10T00:51:30.9479739Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:51:31.0798662Z running benchmark:   8% 4/50 [00:00<00:01, 30.28it/s]
2025-10-10T00:51:31.2080893Z running benchmark:  16% 8/50 [00:00<00:01, 30.30it/s]
2025-10-10T00:51:31.3366054Z running benchmark:  24% 12/50 [00:00<00:01, 30.70it/s]
2025-10-10T00:51:31.4659158Z running benchmark:  32% 16/50 [00:00<00:01, 30.87it/s]
2025-10-10T00:51:31.6055394Z running benchmark:  40% 20/50 [00:00<00:00, 30.89it/s]
2025-10-10T00:51:31.7355038Z running benchmark:  48% 24/50 [00:00<00:00, 30.09it/s]
2025-10-10T00:51:31.8655633Z running benchmark:  56% 28/50 [00:00<00:00, 30.31it/s]
2025-10-10T00:51:31.9934169Z running benchmark:  64% 32/50 [00:01<00:00, 30.45it/s]
2025-10-10T00:51:32.1220850Z running benchmark:  72% 36/50 [00:01<00:00, 30.71it/s]
2025-10-10T00:51:32.2512475Z running benchmark:  80% 40/50 [00:01<00:00, 30.82it/s]
2025-10-10T00:51:32.3800329Z running benchmark:  88% 44/50 [00:01<00:00, 30.87it/s]
2025-10-10T00:51:32.4435714Z running benchmark:  96% 48/50 [00:01<00:00, 30.93it/s]
2025-10-10T00:51:32.4436288Z running benchmark: 100% 50/50 [00:01<00:00, 30.72it/s]
2025-10-10T00:51:32.4662094Z 4.153x
2025-10-10T00:51:32.4662447Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:33.3548599Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:51:33.3567474Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:51:33.3568267Z cpu,resnext50_32x4d,8,4.152868,6.099694,13.374665,0.921502,129.238630,140.247859,177,1,0,0,0,0,1
2025-10-10T00:51:33.3569013Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv -t 1.47023111 -s 0.99
2025-10-10T00:51:33.6042146Z resnext50_32x4d                    4.152868
2025-10-10T00:51:33.6410171Z + IFS=,
2025-10-10T00:51:33.6410390Z + read -r -a model_cfg
2025-10-10T00:51:33.6410624Z + local model_name=vgg16
2025-10-10T00:51:33.6410824Z + local data_type=amp
2025-10-10T00:51:33.6411018Z + local speedup_target=1.2692454
2025-10-10T00:51:33.6411235Z + local backend=inductor
2025-10-10T00:51:33.6411438Z + [[ default == \c\p\p ]]
2025-10-10T00:51:33.6411649Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-10-10T00:51:33.6412135Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:51:33.6412858Z + [[ static == \d\y\n\a\m\i\c ]]
2025-10-10T00:51:33.6413642Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only vgg16 --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:51:33.9803053Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:51:33.9804487Z   import pynvml  # type: ignore[import]
2025-10-10T00:51:35.7123820Z 
2025-10-10T00:51:36.3820935Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/vgg16-397923af.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/vgg16-397923af.pth
2025-10-10T00:51:36.3932843Z 
2025-10-10T00:51:36.3932959Z 
2025-10-10T00:51:36.4939082Z   0% 0.00/528M [00:00<?, ?B/s]
2025-10-10T00:51:36.4939312Z 
2025-10-10T00:51:36.5939600Z   8% 40.8M/528M [00:00<00:01, 426MB/s]
2025-10-10T00:51:36.5939828Z 
2025-10-10T00:51:36.6951096Z  16% 81.9M/528M [00:00<00:01, 429MB/s]
2025-10-10T00:51:36.6951331Z 
2025-10-10T00:51:36.7960896Z  24% 129M/528M [00:00<00:00, 455MB/s] 
2025-10-10T00:51:36.7961127Z 
2025-10-10T00:51:36.8961436Z  33% 172M/528M [00:00<00:00, 454MB/s]
2025-10-10T00:51:36.8961668Z 
2025-10-10T00:51:36.9963170Z  42% 224M/528M [00:00<00:00, 485MB/s]
2025-10-10T00:51:36.9963409Z 
2025-10-10T00:51:37.0962430Z  53% 279M/528M [00:00<00:00, 516MB/s]
2025-10-10T00:51:37.0962659Z 
2025-10-10T00:51:37.2210794Z  62% 328M/528M [00:00<00:00, 517MB/s]
2025-10-10T00:51:37.2211024Z 
2025-10-10T00:51:37.3519671Z  72% 378M/528M [00:00<00:00, 479MB/s]
2025-10-10T00:51:37.3519901Z 
2025-10-10T00:51:37.4651549Z  80% 424M/528M [00:00<00:00, 441MB/s]
2025-10-10T00:51:37.4651788Z 
2025-10-10T00:51:37.5652150Z  88% 467M/528M [00:01<00:00, 427MB/s]
2025-10-10T00:51:37.5652377Z 
2025-10-10T00:51:37.6211351Z  97% 510M/528M [00:01<00:00, 434MB/s]
2025-10-10T00:51:37.6211665Z 100% 528M/528M [00:01<00:00, 451MB/s]
2025-10-10T00:51:38.0520876Z 
2025-10-10T00:51:38.0521429Z loading model: 0it [00:02, ?it/s]
2025-10-10T00:51:38.0521833Z cpu  eval  vgg16                              
2025-10-10T00:51:40.6979424Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6979867Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6980189Z     return mod(*inputs)
2025-10-10T00:51:40.6980530Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6980857Z     x = self.features(x)
2025-10-10T00:51:40.6980966Z 
2025-10-10T00:51:40.6981079Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6981413Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6981739Z     return mod(*inputs)
2025-10-10T00:51:40.6982044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6982358Z     x = self.features(x)
2025-10-10T00:51:40.6982457Z 
2025-10-10T00:51:40.6982562Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6983198Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6983525Z     return mod(*inputs)
2025-10-10T00:51:40.6983822Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6984133Z     x = self.features(x)
2025-10-10T00:51:40.6984232Z 
2025-10-10T00:51:40.6984331Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6984722Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6985125Z     return mod(*inputs)
2025-10-10T00:51:40.6985415Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6985729Z     x = self.features(x)
2025-10-10T00:51:40.6985839Z 
2025-10-10T00:51:40.6985939Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6986283Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6986583Z     return mod(*inputs)
2025-10-10T00:51:40.6986887Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6987205Z     x = self.features(x)
2025-10-10T00:51:40.6987306Z 
2025-10-10T00:51:40.6987412Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6987748Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6988043Z     return mod(*inputs)
2025-10-10T00:51:40.6988340Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6988650Z     x = self.features(x)
2025-10-10T00:51:40.6988748Z 
2025-10-10T00:51:40.6988851Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6989178Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6989480Z     return mod(*inputs)
2025-10-10T00:51:40.6989770Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6990079Z     x = self.features(x)
2025-10-10T00:51:40.6990177Z 
2025-10-10T00:51:40.6990281Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6990607Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6990909Z     return mod(*inputs)
2025-10-10T00:51:40.6991198Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6991510Z     x = self.features(x)
2025-10-10T00:51:40.6991607Z 
2025-10-10T00:51:40.6991703Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6992039Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6992340Z     return mod(*inputs)
2025-10-10T00:51:40.6992631Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6992971Z     x = self.features(x)
2025-10-10T00:51:40.6993067Z 
2025-10-10T00:51:40.6993172Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6993501Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6993802Z     return mod(*inputs)
2025-10-10T00:51:40.6994095Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6994409Z     x = self.features(x)
2025-10-10T00:51:40.6994505Z 
2025-10-10T00:51:40.6994602Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6994938Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6995239Z     return mod(*inputs)
2025-10-10T00:51:40.6995586Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6995897Z     x = self.features(x)
2025-10-10T00:51:40.6995991Z 
2025-10-10T00:51:40.6996085Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6996416Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6996714Z     return mod(*inputs)
2025-10-10T00:51:40.6997003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6997303Z     x = self.features(x)
2025-10-10T00:51:40.6998005Z 
2025-10-10T00:51:40.6998104Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6998526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.6998824Z     return mod(*inputs)
2025-10-10T00:51:40.6999119Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.6999429Z     x = self.features(x)
2025-10-10T00:51:40.6999537Z 
2025-10-10T00:51:40.6999633Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.6999972Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7000278Z     return mod(*inputs)
2025-10-10T00:51:40.7000565Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7000880Z     x = self.features(x)
2025-10-10T00:51:40.7000986Z 
2025-10-10T00:51:40.7001086Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7001423Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7001723Z     return mod(*inputs)
2025-10-10T00:51:40.7002007Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7002323Z     x = self.features(x)
2025-10-10T00:51:40.7002425Z 
2025-10-10T00:51:40.7002521Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7002854Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7003150Z     return mod(*inputs)
2025-10-10T00:51:40.7003447Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7003760Z     x = self.features(x)
2025-10-10T00:51:40.7003859Z 
2025-10-10T00:51:40.7003964Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7004303Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7004597Z     return mod(*inputs)
2025-10-10T00:51:40.7004890Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7005204Z     x = self.features(x)
2025-10-10T00:51:40.7005298Z 
2025-10-10T00:51:40.7005405Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7005734Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7006039Z     return mod(*inputs)
2025-10-10T00:51:40.7006335Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7006650Z     x = self.features(x)
2025-10-10T00:51:40.7006747Z 
2025-10-10T00:51:40.7006852Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7007181Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7007484Z     return mod(*inputs)
2025-10-10T00:51:40.7007778Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7008093Z     x = self.features(x)
2025-10-10T00:51:40.7008189Z 
2025-10-10T00:51:40.7008350Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7008681Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7008979Z     return mod(*inputs)
2025-10-10T00:51:40.7009265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7009571Z     x = self.features(x)
2025-10-10T00:51:40.7009667Z 
2025-10-10T00:51:40.7009764Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7010095Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7010451Z     return mod(*inputs)
2025-10-10T00:51:40.7010744Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7011045Z     x = self.features(x)
2025-10-10T00:51:40.7011151Z 
2025-10-10T00:51:40.7011248Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7011583Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7011885Z     return mod(*inputs)
2025-10-10T00:51:40.7012180Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7012482Z     x = self.features(x)
2025-10-10T00:51:40.7012586Z 
2025-10-10T00:51:40.7012682Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7013013Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7013310Z     return mod(*inputs)
2025-10-10T00:51:40.7013600Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7013912Z     x = self.features(x)
2025-10-10T00:51:40.7014017Z 
2025-10-10T00:51:40.7014114Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7014450Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7014746Z     return mod(*inputs)
2025-10-10T00:51:40.7015031Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7015337Z     x = self.features(x)
2025-10-10T00:51:40.7015437Z 
2025-10-10T00:51:40.7015535Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7015861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7016153Z     return mod(*inputs)
2025-10-10T00:51:40.7016445Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7016761Z     x = self.features(x)
2025-10-10T00:51:40.7016859Z 
2025-10-10T00:51:40.7016966Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7017295Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7017589Z     return mod(*inputs)
2025-10-10T00:51:40.7017880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7018191Z     x = self.features(x)
2025-10-10T00:51:40.7018288Z 
2025-10-10T00:51:40.7018392Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7018724Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7019016Z     return mod(*inputs)
2025-10-10T00:51:40.7019309Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7019625Z     x = self.features(x)
2025-10-10T00:51:40.7019720Z 
2025-10-10T00:51:40.7019825Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7020156Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7020456Z     return mod(*inputs)
2025-10-10T00:51:40.7020779Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7021096Z     x = self.features(x)
2025-10-10T00:51:40.7021192Z 
2025-10-10T00:51:40.7021297Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7021621Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7021920Z     return mod(*inputs)
2025-10-10T00:51:40.7022214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7022577Z     x = self.features(x)
2025-10-10T00:51:40.7022673Z 
2025-10-10T00:51:40.7022771Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7023104Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7023401Z     return mod(*inputs)
2025-10-10T00:51:40.7023695Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7023999Z     x = self.features(x)
2025-10-10T00:51:40.7024103Z 
2025-10-10T00:51:40.7024198Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7024533Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7024831Z     return mod(*inputs)
2025-10-10T00:51:40.7025121Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 66, in forward
2025-10-10T00:51:40.7025421Z     x = self.features(x)
2025-10-10T00:51:40.7025530Z 
2025-10-10T00:51:40.7025608Z cudagraph partition due to non gpu ops
2025-10-10T00:51:40.7025838Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7026169Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7026459Z     return mod(*inputs)
2025-10-10T00:51:40.7026753Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-10-10T00:51:40.7027071Z     x = self.classifier(x)
2025-10-10T00:51:40.7027176Z 
2025-10-10T00:51:40.7027279Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7027612Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7027903Z     return mod(*inputs)
2025-10-10T00:51:40.7028196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-10-10T00:51:40.7028507Z     x = self.classifier(x)
2025-10-10T00:51:40.7028612Z 
2025-10-10T00:51:40.7028715Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7029036Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7029331Z     return mod(*inputs)
2025-10-10T00:51:40.7029616Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-10-10T00:51:40.7029927Z     x = self.classifier(x)
2025-10-10T00:51:40.7030029Z 
2025-10-10T00:51:40.7030131Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:51:40.7030459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:51:40.7030756Z     return mod(*inputs)
2025-10-10T00:51:40.7031049Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torchvision/models/vgg.py", line 69, in forward
2025-10-10T00:51:40.7031358Z     x = self.classifier(x)
2025-10-10T00:51:40.7031460Z 
2025-10-10T00:51:40.7031544Z cudagraph partition due to non gpu ops
2025-10-10T00:51:40.7031747Z cudagraph partition due to non gpu ops
2025-10-10T00:51:50.3243890Z 
2025-10-10T00:51:50.4450239Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:51:50.5642779Z running benchmark:   8% 4/50 [00:00<00:01, 32.99it/s]
2025-10-10T00:51:50.6833527Z running benchmark:  16% 8/50 [00:00<00:01, 33.30it/s]
2025-10-10T00:51:50.8039522Z running benchmark:  24% 12/50 [00:00<00:01, 33.44it/s]
2025-10-10T00:51:50.9245229Z running benchmark:  32% 16/50 [00:00<00:01, 33.33it/s]
2025-10-10T00:51:51.0444989Z running benchmark:  40% 20/50 [00:00<00:00, 33.27it/s]
2025-10-10T00:51:51.1650493Z running benchmark:  48% 24/50 [00:00<00:00, 33.30it/s]
2025-10-10T00:51:51.2847994Z running benchmark:  56% 28/50 [00:00<00:00, 33.25it/s]
2025-10-10T00:51:51.4215905Z running benchmark:  64% 32/50 [00:00<00:00, 33.30it/s]
2025-10-10T00:51:51.5421433Z running benchmark:  72% 36/50 [00:01<00:00, 31.92it/s]
2025-10-10T00:51:51.6627100Z running benchmark:  80% 40/50 [00:01<00:00, 32.30it/s]
2025-10-10T00:51:51.7821750Z running benchmark:  88% 44/50 [00:01<00:00, 32.56it/s]
2025-10-10T00:51:51.8423113Z running benchmark:  96% 48/50 [00:01<00:00, 32.84it/s]
2025-10-10T00:51:51.8423581Z running benchmark: 100% 50/50 [00:01<00:00, 32.92it/s]
2025-10-10T00:51:51.8640002Z 4.014x
2025-10-10T00:51:51.8640767Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:51:52.7624552Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:51:52.7638447Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:51:52.7639085Z cpu,vgg16,4,4.014310,5.793089,11.113397,0.947127,280.770150,296.443904,42,1,0,0,0,0,1
2025-10-10T00:51:52.7639997Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv -t 1.2692454 -s 0.99
2025-10-10T00:51:53.0118736Z vgg16                              4.01431
2025-10-10T00:51:53.0487290Z + IFS=,
2025-10-10T00:51:53.0487525Z + read -r -a model_cfg
2025-10-10T00:51:53.0487742Z + local model_name=llama
2025-10-10T00:51:53.0487943Z + local data_type=amp
2025-10-10T00:51:53.0488161Z + local speedup_target=1.33157028
2025-10-10T00:51:53.0488379Z + local backend=inductor
2025-10-10T00:51:53.0488581Z + [[ default == \c\p\p ]]
2025-10-10T00:51:53.0488787Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-10-10T00:51:53.0489251Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:51:53.0489701Z + [[ static == \d\y\n\a\m\i\c ]]
2025-10-10T00:51:53.0490497Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only llama --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:51:53.3690756Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:51:53.3692198Z   import pynvml  # type: ignore[import]
2025-10-10T00:51:55.0862583Z 
2025-10-10T00:51:55.7659509Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:51:55.7660335Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:51:55.7660835Z cpu  eval  llama                              
2025-10-10T00:52:03.2945475Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2945866Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2946117Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2946852Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2947297Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2947624Z     return mod(*inputs)
2025-10-10T00:52:03.2947894Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2948195Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2948740Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.2949043Z     h = x + self.attention.forward(
2025-10-10T00:52:03.2949326Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.2949627Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.2949942Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.2950316Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.2950730Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.2951326Z     return func(*args, **kwargs)
2025-10-10T00:52:03.2951458Z 
2025-10-10T00:52:03.2951561Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2951906Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2952221Z     return mod(*inputs)
2025-10-10T00:52:03.2952466Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2952751Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2953025Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.2953303Z     h = x + self.attention.forward(
2025-10-10T00:52:03.2953579Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.2953868Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.2954191Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.2954554Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.2954950Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.2955283Z     return func(*args, **kwargs)
2025-10-10T00:52:03.2955409Z 
2025-10-10T00:52:03.2955512Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2955863Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2956171Z     return mod(*inputs)
2025-10-10T00:52:03.2956421Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2956694Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2956968Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.2957238Z     h = x + self.attention.forward(
2025-10-10T00:52:03.2957506Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.2957792Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.2958109Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.2958436Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.2958809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.2959146Z     return func(*args, **kwargs)
2025-10-10T00:52:03.2959262Z 
2025-10-10T00:52:03.2959364Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2959703Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2960002Z     return mod(*inputs)
2025-10-10T00:52:03.2960249Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2960523Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2960798Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.2961064Z     h = x + self.attention.forward(
2025-10-10T00:52:03.2961334Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.2961686Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.2962005Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.2962324Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.2962687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.2963028Z     return func(*args, **kwargs)
2025-10-10T00:52:03.2963140Z 
2025-10-10T00:52:03.2963238Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2963571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2963921Z     return mod(*inputs)
2025-10-10T00:52:03.2964162Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2964438Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2964707Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.2964977Z     h = x + self.attention.forward(
2025-10-10T00:52:03.2965253Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.2965544Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.2965858Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.2966178Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.2966544Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.2966891Z     return func(*args, **kwargs)
2025-10-10T00:52:03.2967004Z 
2025-10-10T00:52:03.2967110Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2967444Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2967750Z     return mod(*inputs)
2025-10-10T00:52:03.2967999Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2968278Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2968547Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.2968821Z     h = x + self.attention.forward(
2025-10-10T00:52:03.2969092Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.2969385Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.2969695Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.2970009Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.2970371Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.2970714Z     return func(*args, **kwargs)
2025-10-10T00:52:03.2970825Z 
2025-10-10T00:52:03.2970911Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2971113Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2971313Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2971541Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2971888Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2972190Z     return mod(*inputs)
2025-10-10T00:52:03.2972428Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2972708Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2972990Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.2973269Z     h = x + self.attention.forward(
2025-10-10T00:52:03.2973527Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.2973818Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.2974164Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.2974512Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.2974895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.2975229Z     return func(*args, **kwargs)
2025-10-10T00:52:03.2975348Z 
2025-10-10T00:52:03.2975445Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2975776Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2976120Z     return mod(*inputs)
2025-10-10T00:52:03.2976355Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2976630Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2976903Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.2977172Z     h = x + self.attention.forward(
2025-10-10T00:52:03.2977437Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.2977735Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.2978044Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.2978384Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.2978776Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.2979106Z     return func(*args, **kwargs)
2025-10-10T00:52:03.2979227Z 
2025-10-10T00:52:03.2979326Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2979661Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2979961Z     return mod(*inputs)
2025-10-10T00:52:03.2980207Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2980481Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2980754Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.2981027Z     h = x + self.attention.forward(
2025-10-10T00:52:03.2981295Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.2981577Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.2981884Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.2982201Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.2982575Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.2982904Z     return func(*args, **kwargs)
2025-10-10T00:52:03.2983020Z 
2025-10-10T00:52:03.2983119Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2983455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2983757Z     return mod(*inputs)
2025-10-10T00:52:03.2984002Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2984274Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2984545Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.2984809Z     h = x + self.attention.forward(
2025-10-10T00:52:03.2985076Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.2985359Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.2985676Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.2985997Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.2986362Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.2986740Z     return func(*args, **kwargs)
2025-10-10T00:52:03.2986854Z 
2025-10-10T00:52:03.2986953Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2987287Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2987584Z     return mod(*inputs)
2025-10-10T00:52:03.2987822Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2988091Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2988363Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.2988696Z     h = x + self.attention.forward(
2025-10-10T00:52:03.2988960Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.2989249Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.2989550Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.2989869Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.2990231Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.2990565Z     return func(*args, **kwargs)
2025-10-10T00:52:03.2990676Z 
2025-10-10T00:52:03.2990773Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2991108Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2991416Z     return mod(*inputs)
2025-10-10T00:52:03.2991667Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2991948Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2992215Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.2992487Z     h = x + self.attention.forward(
2025-10-10T00:52:03.2992756Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.2993050Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.2993353Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.2993674Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.2994042Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.2994383Z     return func(*args, **kwargs)
2025-10-10T00:52:03.2994523Z 
2025-10-10T00:52:03.2994607Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2994807Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2995007Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2995208Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2995401Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2995591Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2995794Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2995992Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2996184Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2996372Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2996567Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2996763Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2996958Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.2997174Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.2997512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.2997817Z     return mod(*inputs)
2025-10-10T00:52:03.2998066Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.2998440Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.2998720Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:03.2999956Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:03.3000267Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:03.3000565Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:03.3000928Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3001270Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3001389Z 
2025-10-10T00:52:03.3001461Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3001658Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3001912Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3002113Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3002312Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3002538Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3002871Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3003181Z     return mod(*inputs)
2025-10-10T00:52:03.3003431Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3003717Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3003993Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3004268Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3004543Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3004845Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3005166Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3005509Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3005905Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3006247Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3006366Z 
2025-10-10T00:52:03.3006474Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3006817Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3007116Z     return mod(*inputs)
2025-10-10T00:52:03.3007366Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3007652Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3007933Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3008206Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3024220Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3024662Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3025019Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3025397Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3025834Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3026203Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3026327Z 
2025-10-10T00:52:03.3026446Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3026802Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3027128Z     return mod(*inputs)
2025-10-10T00:52:03.3027397Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3027707Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3027996Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3028280Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3028563Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3028964Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3029296Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3029625Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3030022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3030381Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3030499Z 
2025-10-10T00:52:03.3030613Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3031048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3031362Z     return mod(*inputs)
2025-10-10T00:52:03.3031620Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3031913Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3032203Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3032480Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3032759Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3033068Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3033392Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3033725Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3034098Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3034451Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3034566Z 
2025-10-10T00:52:03.3034677Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3035018Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3035322Z     return mod(*inputs)
2025-10-10T00:52:03.3035581Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3035870Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3036151Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3036433Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3036701Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3037000Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3037323Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3037656Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3038028Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3038377Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3038501Z 
2025-10-10T00:52:03.3038604Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3038948Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3039258Z     return mod(*inputs)
2025-10-10T00:52:03.3039504Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3039796Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3040076Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3040358Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3040623Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3040932Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3041256Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3041590Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3041996Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3042355Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3042472Z 
2025-10-10T00:52:03.3042551Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3042760Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3042960Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3043180Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3043522Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3043863Z     return mod(*inputs)
2025-10-10T00:52:03.3044111Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3044383Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3044659Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3044935Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3045203Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3045498Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3045814Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3046163Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3046560Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3046903Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3047020Z 
2025-10-10T00:52:03.3047119Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3047459Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3047765Z     return mod(*inputs)
2025-10-10T00:52:03.3048013Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3048296Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3048564Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3048840Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3049107Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3049398Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3049702Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3050045Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3050439Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3050780Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3050892Z 
2025-10-10T00:52:03.3051003Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3051339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3051645Z     return mod(*inputs)
2025-10-10T00:52:03.3051897Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3052169Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3052442Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3052714Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3052983Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3053277Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3053584Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3053902Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3054300Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3054641Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3054751Z 
2025-10-10T00:52:03.3054850Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3055186Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3055489Z     return mod(*inputs)
2025-10-10T00:52:03.3055735Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3056012Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3056279Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3056585Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3056846Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3057136Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3057448Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3057764Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3058128Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3058464Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3058573Z 
2025-10-10T00:52:03.3058677Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3059007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3059312Z     return mod(*inputs)
2025-10-10T00:52:03.3059559Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3059839Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3060101Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3060371Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3060640Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3060927Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3061239Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3061546Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3061907Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3062242Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3062352Z 
2025-10-10T00:52:03.3062462Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3062786Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3063087Z     return mod(*inputs)
2025-10-10T00:52:03.3063333Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3063610Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3063879Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3064138Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3064405Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3064692Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3065000Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3065312Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3065680Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3066018Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3066128Z 
2025-10-10T00:52:03.3066213Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3066419Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3066612Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3066840Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3067040Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3067234Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3067417Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3067613Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3067810Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3068006Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3068190Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3068384Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3068617Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3068839Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3069177Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3069485Z     return mod(*inputs)
2025-10-10T00:52:03.3069734Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3070012Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3070273Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:03.3070573Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:03.3070871Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:03.3071164Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:03.3071521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3071856Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3071973Z 
2025-10-10T00:52:03.3072049Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3072251Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3072442Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3072626Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3072825Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3073047Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3073383Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3073676Z     return mod(*inputs)
2025-10-10T00:52:03.3073922Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3074202Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3074470Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3074740Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3075000Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3075296Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3075608Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3075954Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3076339Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3076677Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3076796Z 
2025-10-10T00:52:03.3076893Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3077230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3077533Z     return mod(*inputs)
2025-10-10T00:52:03.3077771Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3078052Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3078323Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3078591Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3078853Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3079179Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3079495Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3079836Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3080225Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3080554Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3080671Z 
2025-10-10T00:52:03.3080771Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3081167Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3081473Z     return mod(*inputs)
2025-10-10T00:52:03.3081709Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3081983Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3082257Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3082528Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3082788Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3083080Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3083388Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3083709Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3084074Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3084405Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3084525Z 
2025-10-10T00:52:03.3084625Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3084958Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3085263Z     return mod(*inputs)
2025-10-10T00:52:03.3085500Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3085777Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3086049Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3086320Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3086582Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3086863Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3087171Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3087492Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3087852Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3088178Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3088296Z 
2025-10-10T00:52:03.3088398Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3088731Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3089030Z     return mod(*inputs)
2025-10-10T00:52:03.3089272Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3089540Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3089809Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3090074Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3090344Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3090624Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3090935Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3091249Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3091642Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3091978Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3092088Z 
2025-10-10T00:52:03.3092185Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3092526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3092826Z     return mod(*inputs)
2025-10-10T00:52:03.3093067Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3093383Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3093658Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3093921Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3094191Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3094485Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3094799Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3095117Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3095475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3095812Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3095927Z 
2025-10-10T00:52:03.3096004Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3096202Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3096396Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3096617Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3096951Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3097252Z     return mod(*inputs)
2025-10-10T00:52:03.3097491Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3097767Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3098034Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3098357Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3098623Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3098909Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3099224Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3099572Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3099972Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3100306Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3100424Z 
2025-10-10T00:52:03.3100526Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3100866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3101170Z     return mod(*inputs)
2025-10-10T00:52:03.3101420Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3101691Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3101964Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3102230Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3102495Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3102782Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3103095Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3103437Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3103897Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3104234Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3104344Z 
2025-10-10T00:52:03.3104443Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3104780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3105082Z     return mod(*inputs)
2025-10-10T00:52:03.3105332Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3105603Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3106112Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3106383Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3106651Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3106948Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3107257Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3107588Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3107955Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3108294Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3108406Z 
2025-10-10T00:52:03.3108508Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3108847Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3109157Z     return mod(*inputs)
2025-10-10T00:52:03.3109403Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3109683Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3109949Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3110221Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3110489Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3110782Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3111085Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3111405Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3111764Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3112098Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3112210Z 
2025-10-10T00:52:03.3112317Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3112644Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3112944Z     return mod(*inputs)
2025-10-10T00:52:03.3113189Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3113469Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3113736Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3114008Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3114276Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3114567Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3114875Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3115196Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3115570Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3115910Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3116022Z 
2025-10-10T00:52:03.3116129Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3116496Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3116801Z     return mod(*inputs)
2025-10-10T00:52:03.3117046Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3117325Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3117591Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3117863Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3118125Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3118417Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3118761Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3119071Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3119435Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3119771Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3119880Z 
2025-10-10T00:52:03.3119966Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3120159Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3120367Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3120559Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3120746Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3120937Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3121321Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3121512Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3121702Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3121897Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3122088Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3122276Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3122459Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3122680Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3123015Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3123321Z     return mod(*inputs)
2025-10-10T00:52:03.3123560Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3123827Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3124095Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:03.3124388Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:03.3124678Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:03.3124962Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:03.3125317Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3125645Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3125754Z 
2025-10-10T00:52:03.3125833Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3126028Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3126211Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3126400Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3126586Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3126799Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3127128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3127427Z     return mod(*inputs)
2025-10-10T00:52:03.3127666Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3127942Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3128205Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3128473Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3128781Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3129075Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3129381Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3129720Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3130104Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3130435Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3130547Z 
2025-10-10T00:52:03.3130651Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3131007Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3131303Z     return mod(*inputs)
2025-10-10T00:52:03.3131541Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3131816Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3132082Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3132348Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3132609Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3132893Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3133206Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3133540Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3133927Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3134265Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3134376Z 
2025-10-10T00:52:03.3134485Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3134819Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3135115Z     return mod(*inputs)
2025-10-10T00:52:03.3135359Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3135635Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3135902Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3136164Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3136430Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3136724Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3137039Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3137349Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3137712Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3138049Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3138160Z 
2025-10-10T00:52:03.3138266Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3138598Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3138895Z     return mod(*inputs)
2025-10-10T00:52:03.3139140Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3139416Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3139685Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3139948Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3140215Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3140501Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3140809Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3141160Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3141525Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3141858Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3141976Z 
2025-10-10T00:52:03.3142074Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3142408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3142705Z     return mod(*inputs)
2025-10-10T00:52:03.3142949Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3143268Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3143545Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3143821Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3144082Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3144379Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3144700Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3145028Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3145390Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3145731Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3145850Z 
2025-10-10T00:52:03.3145948Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3146285Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3146594Z     return mod(*inputs)
2025-10-10T00:52:03.3146835Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3147117Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3147396Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3147673Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3147935Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3148229Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3148546Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3148866Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3149230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3149566Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3149688Z 
2025-10-10T00:52:03.3149766Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3149975Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3150173Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3150391Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3150732Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3151036Z     return mod(*inputs)
2025-10-10T00:52:03.3151284Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3151555Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3151828Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3152106Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3152370Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3152667Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3152977Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3153322Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3153748Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3154084Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3154197Z 
2025-10-10T00:52:03.3154297Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3154635Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3154940Z     return mod(*inputs)
2025-10-10T00:52:03.3155188Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3155471Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3155770Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3156039Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3156305Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3156593Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3156901Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3157240Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3157630Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3157965Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3158075Z 
2025-10-10T00:52:03.3158183Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3158512Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3158820Z     return mod(*inputs)
2025-10-10T00:52:03.3159064Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3159342Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3159604Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3159884Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3160150Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3160439Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3160739Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3161059Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3161421Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3161756Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3161871Z 
2025-10-10T00:52:03.3161975Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3162302Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3162605Z     return mod(*inputs)
2025-10-10T00:52:03.3162849Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3163131Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3163397Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3163667Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3163931Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3164220Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3164529Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3164837Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3165203Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3165535Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3165643Z 
2025-10-10T00:52:03.3165746Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3166114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3166411Z     return mod(*inputs)
2025-10-10T00:52:03.3166651Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3166926Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3167201Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3167461Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3167724Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3168047Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3168353Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3168659Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3169022Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3169359Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3169468Z 
2025-10-10T00:52:03.3169573Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3169909Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3170204Z     return mod(*inputs)
2025-10-10T00:52:03.3170448Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3170727Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3170994Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3171259Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3171528Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3171817Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3172131Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3172455Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3172809Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3173146Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3173262Z 
2025-10-10T00:52:03.3173339Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3173538Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3173723Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3173911Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3174096Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3174282Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3174458Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3174646Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3174831Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3175048Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3175369Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3175663Z     return mod(*inputs)
2025-10-10T00:52:03.3175902Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3176180Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3176446Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3176709Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3177044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3177375Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3177482Z 
2025-10-10T00:52:03.3177558Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3177743Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3177931Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3178173Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3178383Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3178707Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3179009Z     return mod(*inputs)
2025-10-10T00:52:03.3179248Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3179522Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3179790Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:03.3180115Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:03.3180407Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:03.3180691Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:03.3181039Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3181367Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3181482Z 
2025-10-10T00:52:03.3181556Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3181758Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3181946Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3182137Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3182321Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3182538Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3182866Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3183180Z     return mod(*inputs)
2025-10-10T00:52:03.3183409Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3183684Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3183951Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3184220Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3184479Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3184769Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3185081Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3185425Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3185818Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3186139Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3186261Z 
2025-10-10T00:52:03.3186359Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3186695Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3186993Z     return mod(*inputs)
2025-10-10T00:52:03.3187226Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3187504Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3187772Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3188037Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3188301Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3188585Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3188894Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3189233Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3189624Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3189948Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3190065Z 
2025-10-10T00:52:03.3190162Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3190526Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3190829Z     return mod(*inputs)
2025-10-10T00:52:03.3191072Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3191340Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3191610Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3191878Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3192139Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3192459Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3192769Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3193083Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3193441Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3193778Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3193885Z 
2025-10-10T00:52:03.3193983Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3194315Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3194616Z     return mod(*inputs)
2025-10-10T00:52:03.3194851Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3195117Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3195384Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3195652Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3195911Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3196193Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3196507Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3196822Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3197182Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3197520Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3197627Z 
2025-10-10T00:52:03.3197725Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3198057Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3198401Z     return mod(*inputs)
2025-10-10T00:52:03.3198645Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3198915Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3199184Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3199455Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3199722Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3200012Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3200311Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3200628Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3200986Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3201317Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3201427Z 
2025-10-10T00:52:03.3201527Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3201861Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3202157Z     return mod(*inputs)
2025-10-10T00:52:03.3202393Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3202727Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3202998Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3203273Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3203545Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3203844Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3204156Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3204482Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3204895Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3205231Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3205342Z 
2025-10-10T00:52:03.3205429Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3205632Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3205838Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3206071Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3206408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3206713Z     return mod(*inputs)
2025-10-10T00:52:03.3206961Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3207245Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3207520Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3207788Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3208063Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3208356Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3208680Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3209030Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3209424Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3209765Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3209886Z 
2025-10-10T00:52:03.3209987Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3210331Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3210630Z     return mod(*inputs)
2025-10-10T00:52:03.3210881Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3211167Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3211449Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3211722Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3211990Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3212286Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3212606Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3212951Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3213341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3213687Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3213808Z 
2025-10-10T00:52:03.3213910Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3214257Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3214566Z     return mod(*inputs)
2025-10-10T00:52:03.3214808Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3215093Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3215404Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3215675Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3215929Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3216218Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3216526Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3216840Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3217193Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3217566Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3217680Z 
2025-10-10T00:52:03.3217777Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3218105Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3218408Z     return mod(*inputs)
2025-10-10T00:52:03.3218644Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3218919Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3219190Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3219456Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3219718Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3219999Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3220308Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3220629Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3220985Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3221312Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3221432Z 
2025-10-10T00:52:03.3221531Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3221860Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3222157Z     return mod(*inputs)
2025-10-10T00:52:03.3222399Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3222671Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3222941Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3223209Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3223479Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3223760Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3224065Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3224385Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3224757Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3225091Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3225201Z 
2025-10-10T00:52:03.3225300Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3225634Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3225937Z     return mod(*inputs)
2025-10-10T00:52:03.3226180Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3226449Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3226728Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3226995Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3227262Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3227549Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3227890Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3228212Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3228574Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3228909Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3229018Z 
2025-10-10T00:52:03.3229096Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3229303Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3229504Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3229737Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3229923Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3230124Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3230318Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3230512Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3230700Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3230894Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3231090Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3231283Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3231469Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3231693Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3232029Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3232333Z     return mod(*inputs)
2025-10-10T00:52:03.3232575Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3232849Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3233120Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:03.3233421Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:03.3233720Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:03.3234003Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:03.3234360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3234696Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3234804Z 
2025-10-10T00:52:03.3234887Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3235087Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3235274Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3235471Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3235670Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3235891Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3236224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3236527Z     return mod(*inputs)
2025-10-10T00:52:03.3236773Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3237051Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3237317Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3237587Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3237850Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3238142Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3238446Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3238789Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3239176Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3239512Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3239623Z 
2025-10-10T00:52:03.3239731Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3240090Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3240394Z     return mod(*inputs)
2025-10-10T00:52:03.3240638Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3240917Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3241178Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3241447Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3241712Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3242041Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3242351Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3242688Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3243077Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3243409Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3243519Z 
2025-10-10T00:52:03.3243622Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3243957Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3244252Z     return mod(*inputs)
2025-10-10T00:52:03.3244492Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3244765Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3245037Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3245296Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3245559Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3245850Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3246162Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3246472Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3246838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3247171Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3247282Z 
2025-10-10T00:52:03.3247389Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3247726Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3248026Z     return mod(*inputs)
2025-10-10T00:52:03.3248269Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3248544Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3248815Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3249079Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3249350Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3249643Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3249958Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3250273Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3250626Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3250961Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3251082Z 
2025-10-10T00:52:03.3251178Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3251516Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3251811Z     return mod(*inputs)
2025-10-10T00:52:03.3252061Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3252373Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3252649Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3252919Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3253179Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3253472Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3253779Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3254096Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3254475Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3254809Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3254927Z 
2025-10-10T00:52:03.3255024Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3255362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3255666Z     return mod(*inputs)
2025-10-10T00:52:03.3255902Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3256175Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3256449Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3256716Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3256972Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3257073Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3257238Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3257342Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3257552Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3257621Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3257624Z 
2025-10-10T00:52:03.3257708Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3257780Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3257860Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3257958Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3258139Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3258208Z     return mod(*inputs)
2025-10-10T00:52:03.3258350Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3258436Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3258576Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3258646Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3258794Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3258886Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3259054Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3259172Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3259389Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3259457Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3259459Z 
2025-10-10T00:52:03.3259557Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3259750Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3259810Z     return mod(*inputs)
2025-10-10T00:52:03.3259957Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3260033Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3260199Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3260280Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3260420Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3260519Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3260681Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3260800Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3261019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3261128Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3261131Z 
2025-10-10T00:52:03.3261240Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3261424Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3261489Z     return mod(*inputs)
2025-10-10T00:52:03.3261641Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3261717Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3261870Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3261939Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3262081Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3262179Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3262341Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3262448Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3262659Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3262730Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3262733Z 
2025-10-10T00:52:03.3262833Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3263016Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3263086Z     return mod(*inputs)
2025-10-10T00:52:03.3263229Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3263311Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3263450Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3263516Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3263667Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3263757Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3263924Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3264018Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3264230Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3264304Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3264307Z 
2025-10-10T00:52:03.3264403Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3264593Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3264654Z     return mod(*inputs)
2025-10-10T00:52:03.3264793Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3264879Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3265020Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3265098Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3265237Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3265360Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3265524Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3265618Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3265836Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3265901Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3265903Z 
2025-10-10T00:52:03.3266007Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3266189Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3266283Z     return mod(*inputs)
2025-10-10T00:52:03.3266433Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3266508Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3266656Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3266729Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3266873Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3266971Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3267132Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3267234Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3267442Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3267511Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3267520Z 
2025-10-10T00:52:03.3267595Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3267669Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3267746Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3267817Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3267890Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3267968Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3268038Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3268116Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3268187Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3268284Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3268471Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3268532Z     return mod(*inputs)
2025-10-10T00:52:03.3268680Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3268757Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3268898Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3268975Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3269183Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3269256Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3269259Z 
2025-10-10T00:52:03.3269330Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3269401Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3269480Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3269550Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3269653Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3269832Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3269895Z     return mod(*inputs)
2025-10-10T00:52:03.3270043Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3270117Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3270266Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:03.3270394Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:03.3270534Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:03.3270630Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:03.3270838Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3270912Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3270915Z 
2025-10-10T00:52:03.3270987Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3271063Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3271135Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3271239Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3271319Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3271415Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3271606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3271669Z     return mod(*inputs)
2025-10-10T00:52:03.3271814Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3271896Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3272036Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3272117Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3272258Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3272350Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3272522Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3272645Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3272864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3272931Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3272936Z 
2025-10-10T00:52:03.3273033Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3273225Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3273286Z     return mod(*inputs)
2025-10-10T00:52:03.3273435Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3273508Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3273645Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3273723Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3273865Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3273964Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3274124Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3274246Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3274466Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3274533Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3274536Z 
2025-10-10T00:52:03.3274641Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3274822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3274891Z     return mod(*inputs)
2025-10-10T00:52:03.3275033Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3275110Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3275261Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3275328Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3275477Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3275598Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3275764Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3275871Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3276082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3276156Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3276159Z 
2025-10-10T00:52:03.3276256Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3276470Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3276540Z     return mod(*inputs)
2025-10-10T00:52:03.3276682Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3276762Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3276903Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3276973Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3277120Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3277210Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3277381Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3277473Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3277689Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3277756Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3277758Z 
2025-10-10T00:52:03.3277855Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3278042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3278102Z     return mod(*inputs)
2025-10-10T00:52:03.3278253Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3278327Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3278465Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3278540Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3278679Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3278775Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3278937Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3279032Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3279249Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3279313Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3279316Z 
2025-10-10T00:52:03.3279422Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3279602Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3279661Z     return mod(*inputs)
2025-10-10T00:52:03.3279811Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3279884Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3280030Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3280099Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3280241Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3280340Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3280501Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3280603Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3280850Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3280928Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3280931Z 
2025-10-10T00:52:03.3281007Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3281079Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3281161Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3281260Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3281455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3281545Z     return mod(*inputs)
2025-10-10T00:52:03.3281687Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3281770Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3281911Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3281986Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3282130Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3282223Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3282396Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3282516Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3282736Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3282802Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3282807Z 
2025-10-10T00:52:03.3282908Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3283098Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3283161Z     return mod(*inputs)
2025-10-10T00:52:03.3283309Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3283386Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3283527Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3283604Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3283743Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3283840Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3284003Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3284121Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3284342Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3284407Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3284409Z 
2025-10-10T00:52:03.3284513Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3284697Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3284766Z     return mod(*inputs)
2025-10-10T00:52:03.3284908Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3284982Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3285132Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3285203Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3285349Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3285442Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3285604Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3285706Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3285944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3286019Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3286021Z 
2025-10-10T00:52:03.3286119Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3286301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3286369Z     return mod(*inputs)
2025-10-10T00:52:03.3286511Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3286593Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3286732Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3286832Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3286979Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3287069Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3287245Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3287340Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3287562Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3287631Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3287634Z 
2025-10-10T00:52:03.3287731Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3287918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3287978Z     return mod(*inputs)
2025-10-10T00:52:03.3288130Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3288205Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3288346Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3288423Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3288565Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3288661Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3288822Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3288914Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3289129Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3289196Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3289199Z 
2025-10-10T00:52:03.3289300Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3289483Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3289542Z     return mod(*inputs)
2025-10-10T00:52:03.3289687Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3289759Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3289909Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3289976Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3290115Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3290211Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3290373Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3290473Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3290685Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3290761Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3290764Z 
2025-10-10T00:52:03.3290839Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3290914Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3290993Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3291098Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3291178Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3291249Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3291318Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3291395Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3291467Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3291547Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3291619Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3291689Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3291802Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3291896Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3292080Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3292149Z     return mod(*inputs)
2025-10-10T00:52:03.3292294Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3292376Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3292515Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:03.3292613Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:03.3292762Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:03.3292850Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:03.3293071Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3293143Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3293146Z 
2025-10-10T00:52:03.3293225Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3293294Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3293365Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3293445Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3293521Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3293628Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3293811Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3293871Z     return mod(*inputs)
2025-10-10T00:52:03.3294020Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3294094Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3294241Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3294313Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3294455Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3294551Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3294713Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3294843Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3295056Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3295121Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3295124Z 
2025-10-10T00:52:03.3295228Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3295412Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3295481Z     return mod(*inputs)
2025-10-10T00:52:03.3295622Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3295700Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3295851Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3295918Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3296067Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3296212Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3296376Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:03.3296503Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:03.3296711Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3296783Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3296786Z 
2025-10-10T00:52:03.3296884Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3297114Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3297176Z     return mod(*inputs)
2025-10-10T00:52:03.3297317Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3297400Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3297542Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3297618Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3297761Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3297854Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3298028Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3298123Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3298397Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3298469Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3298472Z 
2025-10-10T00:52:03.3298570Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3298772Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3298835Z     return mod(*inputs)
2025-10-10T00:52:03.3298990Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3299068Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3299210Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3299285Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3299427Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3299527Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3299691Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3299798Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3300008Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3300072Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3300075Z 
2025-10-10T00:52:03.3300184Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3300367Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3300438Z     return mod(*inputs)
2025-10-10T00:52:03.3300589Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3300666Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3300818Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3300890Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3301042Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3301133Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3301301Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3301405Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3301681Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3301758Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3301761Z 
2025-10-10T00:52:03.3301863Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3302054Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3302123Z     return mod(*inputs)
2025-10-10T00:52:03.3302271Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3302411Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3302555Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3302626Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3302779Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3302876Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3303056Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:03.3303151Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3303378Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3303447Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3303449Z 
2025-10-10T00:52:03.3303527Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3303611Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3303691Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3303800Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3303987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3304050Z     return mod(*inputs)
2025-10-10T00:52:03.3304208Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3304287Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3304439Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3304510Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3304657Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3304757Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3304924Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3305053Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3305277Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3305343Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3305346Z 
2025-10-10T00:52:03.3305455Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3305642Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3305713Z     return mod(*inputs)
2025-10-10T00:52:03.3305859Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3305933Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3306084Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3306155Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3306307Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3306403Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3306568Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:03.3306701Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:03.3306944Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3307023Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3307025Z 
2025-10-10T00:52:03.3307125Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3307320Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3307385Z     return mod(*inputs)
2025-10-10T00:52:03.3307532Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3307618Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3307765Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3307878Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3308020Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3308111Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3308286Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3308382Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3308604Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3308671Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3308673Z 
2025-10-10T00:52:03.3308774Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3308968Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3309030Z     return mod(*inputs)
2025-10-10T00:52:03.3309184Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3309261Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3309407Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3309485Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3309629Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3309727Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3309894Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3309997Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3310214Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3310279Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3310282Z 
2025-10-10T00:52:03.3310394Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3310582Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3310652Z     return mod(*inputs)
2025-10-10T00:52:03.3310796Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3310874Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3311036Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3311103Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3311247Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3311335Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3311497Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3311598Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3311810Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3311888Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3311891Z 
2025-10-10T00:52:03.3311986Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3312368Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3312442Z     return mod(*inputs)
2025-10-10T00:52:03.3312583Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3312667Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3312809Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3312886Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3313027Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:03.3313115Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:03.3313318Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:03.3313411Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:03.3313634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3313703Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3313706Z 
2025-10-10T00:52:03.3313784Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3313865Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3313937Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3314016Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3314086Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3314156Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3314233Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3314303Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3314388Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3314486Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3314667Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3314735Z     return mod(*inputs)
2025-10-10T00:52:03.3314876Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3314959Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3315097Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:03.3315166Z     h = x + self.attention.forward(
2025-10-10T00:52:03.3315384Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3315448Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3315451Z 
2025-10-10T00:52:03.3315531Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3315601Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3315674Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3315757Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3315855Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3316042Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3316104Z     return mod(*inputs)
2025-10-10T00:52:03.3316247Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:03.3316329Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:03.3316469Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:03.3316574Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:03.3316712Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:03.3316801Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:03.3317017Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3317087Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3317090Z 
2025-10-10T00:52:03.3317168Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3317238Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3317307Z cudagraph partition due to non gpu ops
2025-10-10T00:52:03.3317438Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3317623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3317693Z     return mod(*inputs)
2025-10-10T00:52:03.3317837Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-10-10T00:52:03.3317953Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-10-10T00:52:03.3318174Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3318277Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3318280Z 
2025-10-10T00:52:03.3318385Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3318568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3318636Z     return mod(*inputs)
2025-10-10T00:52:03.3318779Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-10-10T00:52:03.3318892Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-10-10T00:52:03.3319109Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3319173Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3319175Z 
2025-10-10T00:52:03.3319281Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3319462Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3319526Z     return mod(*inputs)
2025-10-10T00:52:03.3319679Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-10-10T00:52:03.3319786Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-10-10T00:52:03.3320003Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3320072Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3320075Z 
2025-10-10T00:52:03.3320171Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:03.3320362Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:03.3320423Z     return mod(*inputs)
2025-10-10T00:52:03.3320573Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 245, in forward
2025-10-10T00:52:03.3320641Z     return output.float()
2025-10-10T00:52:03.3320860Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:03.3320927Z     return func(*args, **kwargs)
2025-10-10T00:52:03.3320929Z 
2025-10-10T00:52:21.7299222Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7299512Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7299723Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7300032Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7300590Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7301043Z     return mod(*inputs)
2025-10-10T00:52:21.7301392Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7301781Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7302168Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7302555Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7302936Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7303382Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7303749Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7304257Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7305090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7305582Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7305740Z 
2025-10-10T00:52:21.7305883Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7306353Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7306777Z     return mod(*inputs)
2025-10-10T00:52:21.7307114Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7307508Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7307978Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7308362Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7308732Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7309141Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7313656Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7314152Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7314739Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7315246Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7315409Z 
2025-10-10T00:52:21.7315554Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7316037Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7316482Z     return mod(*inputs)
2025-10-10T00:52:21.7316819Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7317214Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7317530Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7317811Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7318142Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7318435Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7318794Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7319121Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7319549Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7319923Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7320037Z 
2025-10-10T00:52:21.7320136Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7320603Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7321028Z     return mod(*inputs)
2025-10-10T00:52:21.7321359Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7321755Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7322135Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7322518Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7322874Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7323247Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7323548Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7323868Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7324236Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7324573Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7324685Z 
2025-10-10T00:52:21.7324783Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7325539Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7325868Z     return mod(*inputs)
2025-10-10T00:52:21.7326115Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7326397Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7326661Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7326938Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7327466Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7327761Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7328131Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7328474Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7328854Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7329243Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7329356Z 
2025-10-10T00:52:21.7329463Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7329789Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7330090Z     return mod(*inputs)
2025-10-10T00:52:21.7330330Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7330601Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7330875Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7331157Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7331423Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7331710Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7332018Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7332332Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7332698Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7333030Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7333141Z 
2025-10-10T00:52:21.7333247Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7333442Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7333668Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7333892Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7334230Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7334580Z     return mod(*inputs)
2025-10-10T00:52:21.7334901Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7335286Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7335669Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7336053Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7336416Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7336825Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7337259Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7337760Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7338306Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7338650Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7338769Z 
2025-10-10T00:52:21.7338867Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7339200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7339542Z     return mod(*inputs)
2025-10-10T00:52:21.7339781Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7340059Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7340326Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7340595Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7340851Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7341138Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7341446Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7341808Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7342196Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7342523Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7342678Z 
2025-10-10T00:52:21.7342776Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7343107Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7343407Z     return mod(*inputs)
2025-10-10T00:52:21.7343668Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7343937Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7344217Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7344489Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7344759Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7345052Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7345354Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7345674Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7346036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7346371Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7346481Z 
2025-10-10T00:52:21.7346577Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7346913Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7347212Z     return mod(*inputs)
2025-10-10T00:52:21.7347454Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7347730Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7347994Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7348263Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7348524Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7348815Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7349118Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7349433Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7349791Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7350125Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7350235Z 
2025-10-10T00:52:21.7350339Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7350663Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7350964Z     return mod(*inputs)
2025-10-10T00:52:21.7351204Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7351479Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7351796Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7352070Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7352337Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7352631Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7352945Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7353253Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7353618Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7353974Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7354083Z 
2025-10-10T00:52:21.7354189Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7354523Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7354822Z     return mod(*inputs)
2025-10-10T00:52:21.7355095Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7355369Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7355640Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7355899Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7356160Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7356451Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7356758Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7357074Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7357436Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7357771Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7357883Z 
2025-10-10T00:52:21.7357971Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7358177Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7358367Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7358565Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7358756Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7358951Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7359136Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7359332Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7359527Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7359722Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7359911Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7360106Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7360299Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7360521Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7360846Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7361152Z     return mod(*inputs)
2025-10-10T00:52:21.7361400Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7361672Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7361936Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:21.7362234Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:21.7362526Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:21.7362815Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:21.7363173Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7363500Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7363616Z 
2025-10-10T00:52:21.7363688Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7363882Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7364111Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7364300Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7364498Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7364721Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7365063Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7365360Z     return mod(*inputs)
2025-10-10T00:52:21.7365605Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7365879Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7366167Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7366427Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7366697Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7366989Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7367323Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7367668Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7368051Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7368389Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7368505Z 
2025-10-10T00:52:21.7368607Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7368947Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7369251Z     return mod(*inputs)
2025-10-10T00:52:21.7369485Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7369759Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7370030Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7370304Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7370561Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7370854Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7371161Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7371500Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7371879Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7372215Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7372330Z 
2025-10-10T00:52:21.7372426Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7372758Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7373065Z     return mod(*inputs)
2025-10-10T00:52:21.7373305Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7373582Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7373851Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7374116Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7374370Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7374659Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7374968Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7375283Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7375644Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7375970Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7376088Z 
2025-10-10T00:52:21.7376183Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7376552Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7376860Z     return mod(*inputs)
2025-10-10T00:52:21.7377095Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7377375Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7377648Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7377914Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7378180Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7378482Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7378789Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7379107Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7379472Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7379818Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7379939Z 
2025-10-10T00:52:21.7380036Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7380372Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7380673Z     return mod(*inputs)
2025-10-10T00:52:21.7380916Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7381187Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7381456Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7381726Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7381989Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7382273Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7382582Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7382903Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7383265Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7383601Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7383714Z 
2025-10-10T00:52:21.7383813Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7384153Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7384455Z     return mod(*inputs)
2025-10-10T00:52:21.7384700Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7384967Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7385237Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7385506Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7385775Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7386070Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7386369Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7386686Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7387050Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7387386Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7387498Z 
2025-10-10T00:52:21.7387578Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7387778Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7387977Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7388198Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7388528Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7388858Z     return mod(*inputs)
2025-10-10T00:52:21.7389108Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7389385Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7389653Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7389914Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7390183Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7390475Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7390797Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7391130Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7391523Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7391855Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7391989Z 
2025-10-10T00:52:21.7392097Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7392432Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7392729Z     return mod(*inputs)
2025-10-10T00:52:21.7392975Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7393253Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7393531Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7393795Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7394063Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7394359Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7394672Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7395016Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7395400Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7395756Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7395874Z 
2025-10-10T00:52:21.7395971Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7396310Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7396604Z     return mod(*inputs)
2025-10-10T00:52:21.7396850Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7397131Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7397400Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7397670Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7397928Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7398320Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7398650Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7398973Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7399332Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7399671Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7399787Z 
2025-10-10T00:52:21.7399885Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7400224Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7400530Z     return mod(*inputs)
2025-10-10T00:52:21.7400768Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7401044Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7401399Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7401679Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7401938Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7402228Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7402540Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7402861Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7403218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7403582Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7403699Z 
2025-10-10T00:52:21.7403796Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7404128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7404430Z     return mod(*inputs)
2025-10-10T00:52:21.7404695Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7404967Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7405240Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7405511Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7405771Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7406061Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7406376Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7406697Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7407062Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7407389Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7407508Z 
2025-10-10T00:52:21.7407608Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7407944Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7408242Z     return mod(*inputs)
2025-10-10T00:52:21.7408480Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7408753Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7409027Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7409295Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7409562Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7409847Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7410154Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7410471Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7410835Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7411164Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7411280Z 
2025-10-10T00:52:21.7411355Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7411561Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7411761Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7411953Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7412142Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7412337Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7412533Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7412726Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7412910Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7413102Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7413294Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7413486Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7413707Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7413931Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7414275Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7414577Z     return mod(*inputs)
2025-10-10T00:52:21.7414814Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7415091Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7415357Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:21.7415978Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:21.7416264Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:21.7416552Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:21.7416908Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7417266Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7417375Z 
2025-10-10T00:52:21.7417457Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7417648Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7417844Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7418038Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7418232Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7418441Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7418775Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7419082Z     return mod(*inputs)
2025-10-10T00:52:21.7419325Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7419595Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7419861Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7420137Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7420403Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7420693Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7420997Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7421339Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7421725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7422059Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7422172Z 
2025-10-10T00:52:21.7422269Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7422606Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7422904Z     return mod(*inputs)
2025-10-10T00:52:21.7423150Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7423426Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7423690Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7423958Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7424223Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7424510Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7424811Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7425154Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7425538Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7425869Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7425977Z 
2025-10-10T00:52:21.7426115Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7426444Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7426744Z     return mod(*inputs)
2025-10-10T00:52:21.7426987Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7427258Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7427518Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7427786Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7428044Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7428359Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7428664Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7428976Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7429341Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7429692Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7429802Z 
2025-10-10T00:52:21.7429907Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7430234Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7430535Z     return mod(*inputs)
2025-10-10T00:52:21.7430778Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7431056Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7431330Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7431592Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7431858Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7432153Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7432469Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7432785Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7433150Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7433483Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7433592Z 
2025-10-10T00:52:21.7433699Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7434030Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7434324Z     return mod(*inputs)
2025-10-10T00:52:21.7434571Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7434844Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7435115Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7435372Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7435643Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7435930Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7436237Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7436543Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7436909Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7437241Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7437353Z 
2025-10-10T00:52:21.7437457Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7437795Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7438090Z     return mod(*inputs)
2025-10-10T00:52:21.7438332Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7438642Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7438921Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7439190Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7439461Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7439760Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7440073Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7440395Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7440767Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7441103Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7441222Z 
2025-10-10T00:52:21.7441296Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7441500Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7441728Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7441953Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7442292Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7442598Z     return mod(*inputs)
2025-10-10T00:52:21.7442843Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7443117Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7443396Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7443675Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7443949Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7444239Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7444553Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7444904Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7445301Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7445646Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7445759Z 
2025-10-10T00:52:21.7445860Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7446200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7446509Z     return mod(*inputs)
2025-10-10T00:52:21.7446757Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7447037Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7447314Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7447590Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7447859Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7448161Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7448476Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7448826Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7449224Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7449567Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7449681Z 
2025-10-10T00:52:21.7449782Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7450128Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7450434Z     return mod(*inputs)
2025-10-10T00:52:21.7450684Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7450959Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7451272Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7451553Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7451822Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7452113Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7452414Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7452735Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7453102Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7453456Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7453567Z 
2025-10-10T00:52:21.7453663Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7453995Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7454321Z     return mod(*inputs)
2025-10-10T00:52:21.7454566Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7454839Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7455104Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7455373Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7455637Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7455928Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7456231Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7456557Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7456919Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7457259Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7457370Z 
2025-10-10T00:52:21.7457478Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7457807Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7458108Z     return mod(*inputs)
2025-10-10T00:52:21.7458351Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7458635Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7458897Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7459166Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7459431Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7459724Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7460035Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7460346Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7460718Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7461058Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7461170Z 
2025-10-10T00:52:21.7461276Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7461604Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7461921Z     return mod(*inputs)
2025-10-10T00:52:21.7462168Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7462449Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7462723Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7462983Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7463247Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7463570Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7463879Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7464184Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7464547Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7464881Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7464993Z 
2025-10-10T00:52:21.7465077Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7465279Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7465491Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7465690Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7465888Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7466084Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7466276Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7466469Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7466688Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7466878Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7467061Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7467250Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7467440Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7467660Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7467987Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7468284Z     return mod(*inputs)
2025-10-10T00:52:21.7468530Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7468805Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7469071Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:21.7469368Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:21.7469664Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:21.7469956Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:21.7470314Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7470645Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7470760Z 
2025-10-10T00:52:21.7470835Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7471032Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7471227Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7471412Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7471611Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7471836Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7472170Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7472462Z     return mod(*inputs)
2025-10-10T00:52:21.7472716Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7472995Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7473267Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7473535Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7473794Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7474082Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7474391Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7474737Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7475120Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7475457Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7475575Z 
2025-10-10T00:52:21.7475706Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7476048Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7476350Z     return mod(*inputs)
2025-10-10T00:52:21.7476588Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7476862Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7477134Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7477402Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7477664Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7477973Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7478282Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7478624Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7479036Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7479367Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7479487Z 
2025-10-10T00:52:21.7479582Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7479918Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7480220Z     return mod(*inputs)
2025-10-10T00:52:21.7480456Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7480733Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7481007Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7481277Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7481535Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7481824Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7482137Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7482463Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7482826Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7483153Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7483273Z 
2025-10-10T00:52:21.7483369Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7483711Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7484014Z     return mod(*inputs)
2025-10-10T00:52:21.7484251Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7484530Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7484803Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7485081Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7485352Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7485638Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7485951Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7486276Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7486641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7486973Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7487095Z 
2025-10-10T00:52:21.7487194Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7487532Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7487837Z     return mod(*inputs)
2025-10-10T00:52:21.7488112Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7488384Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7488661Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7488932Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7489200Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7489487Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7489807Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7490130Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7490521Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7490853Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7490961Z 
2025-10-10T00:52:21.7491057Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7491418Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7491717Z     return mod(*inputs)
2025-10-10T00:52:21.7491962Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7492229Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7492499Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7492763Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7493023Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7493315Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7493613Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7493929Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7494289Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7494623Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7494730Z 
2025-10-10T00:52:21.7494804Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7495007Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7495203Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7495425Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7495752Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7496051Z     return mod(*inputs)
2025-10-10T00:52:21.7496292Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7496568Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7496838Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7497101Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7497367Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7497660Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7497971Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7498370Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7498768Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7499107Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7499220Z 
2025-10-10T00:52:21.7499330Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7499673Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7499968Z     return mod(*inputs)
2025-10-10T00:52:21.7500217Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7500503Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7500837Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7501104Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7501373Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7501663Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7501980Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7502323Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7502704Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7503066Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7503182Z 
2025-10-10T00:52:21.7503281Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7503617Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7503942Z     return mod(*inputs)
2025-10-10T00:52:21.7504186Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7504460Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7504730Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7504998Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7505256Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7505546Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7505856Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7506170Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7506526Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7506856Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7506980Z 
2025-10-10T00:52:21.7507078Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7507408Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7507708Z     return mod(*inputs)
2025-10-10T00:52:21.7507940Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7508215Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7508484Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7508749Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7509005Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7509294Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7509606Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7509925Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7510287Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7510613Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7510729Z 
2025-10-10T00:52:21.7510827Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7511159Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7511458Z     return mod(*inputs)
2025-10-10T00:52:21.7511692Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7511968Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7512237Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7512502Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7512759Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7513085Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7513403Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7513720Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7514082Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7514406Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7514527Z 
2025-10-10T00:52:21.7514624Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7514975Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7515279Z     return mod(*inputs)
2025-10-10T00:52:21.7515512Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7515789Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7516062Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7516349Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7516635Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7516927Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7517250Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7517578Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7517954Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7518292Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7518413Z 
2025-10-10T00:52:21.7518490Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7518700Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7518904Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7519107Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7519304Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7519503Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7519697Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7519894Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7520085Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7520311Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7520657Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7520972Z     return mod(*inputs)
2025-10-10T00:52:21.7521208Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7521486Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7521758Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7522026Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7522360Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7522697Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7522817Z 
2025-10-10T00:52:21.7522889Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7523088Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7523285Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7523474Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7523696Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7524032Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7524340Z     return mod(*inputs)
2025-10-10T00:52:21.7524578Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7524853Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7525125Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:21.7525459Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:21.7525747Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:21.7526034Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:21.7526392Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7526730Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7526842Z 
2025-10-10T00:52:21.7526922Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7527111Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7527328Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7527523Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7527717Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7527931Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7528267Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7528610Z     return mod(*inputs)
2025-10-10T00:52:21.7528856Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7529123Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7529394Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7529663Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7529926Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7530215Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7530519Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7530862Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7531246Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7531583Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7531694Z 
2025-10-10T00:52:21.7531791Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7532121Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7532416Z     return mod(*inputs)
2025-10-10T00:52:21.7532659Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7532934Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7533196Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7533467Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7533729Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7534018Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7534320Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7534664Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7535046Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7535379Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7535489Z 
2025-10-10T00:52:21.7535598Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7535926Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7536225Z     return mod(*inputs)
2025-10-10T00:52:21.7536469Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7536744Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7537006Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7537277Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7537541Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7537874Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7538186Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7538501Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7538866Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7539203Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7539313Z 
2025-10-10T00:52:21.7539417Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7539763Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7540067Z     return mod(*inputs)
2025-10-10T00:52:21.7540306Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7540583Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7540870Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7541132Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7541399Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7541689Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7542000Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7542311Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7542676Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7543013Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7543123Z 
2025-10-10T00:52:21.7543231Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7543567Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7543860Z     return mod(*inputs)
2025-10-10T00:52:21.7544111Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7544389Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7544657Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7544917Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7545178Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7545473Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7545779Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7546091Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7546454Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7546788Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7546897Z 
2025-10-10T00:52:21.7547005Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7547339Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7547633Z     return mod(*inputs)
2025-10-10T00:52:21.7547875Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7548148Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7548415Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7548674Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7548943Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7549233Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7549543Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7549861Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7550245Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7550580Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7550705Z 
2025-10-10T00:52:21.7550781Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7550985Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7551176Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7551402Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7551738Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7552061Z     return mod(*inputs)
2025-10-10T00:52:21.7552308Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7552583Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7552854Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7553121Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7553403Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7553685Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7553993Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7554333Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7554725Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7555060Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7555171Z 
2025-10-10T00:52:21.7555271Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7555608Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7555911Z     return mod(*inputs)
2025-10-10T00:52:21.7556160Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7556429Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7556701Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7556970Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7557232Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7557511Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7557818Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7558160Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7558545Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7558874Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7558984Z 
2025-10-10T00:52:21.7559079Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7559414Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7559717Z     return mod(*inputs)
2025-10-10T00:52:21.7559956Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7560224Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7560494Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7560760Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7561024Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7561319Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7561621Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7561937Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7562326Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7562662Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7562772Z 
2025-10-10T00:52:21.7562869Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7563200Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7563504Z     return mod(*inputs)
2025-10-10T00:52:21.7563748Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7564021Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7564286Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7564577Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7564848Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7565149Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7565457Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7565799Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7566161Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7566497Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7566609Z 
2025-10-10T00:52:21.7566712Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7567038Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7567340Z     return mod(*inputs)
2025-10-10T00:52:21.7567584Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7567862Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7568127Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7568396Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7568667Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7568960Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7569269Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7569581Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7569946Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7570282Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7570393Z 
2025-10-10T00:52:21.7570500Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7570823Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7571125Z     return mod(*inputs)
2025-10-10T00:52:21.7571371Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7571648Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7571915Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7572174Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7572436Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7572722Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7573032Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7573344Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7573710Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7574043Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7574151Z 
2025-10-10T00:52:21.7574235Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7574438Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7574661Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7574856Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7575050Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7575244Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7575430Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7575623Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7575818Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7576011Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7576197Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7576391Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7576605Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7576822Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7577151Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7577457Z     return mod(*inputs)
2025-10-10T00:52:21.7577706Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7577998Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7578266Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:21.7578565Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:21.7578855Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:21.7579145Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:21.7579499Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7579828Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7579945Z 
2025-10-10T00:52:21.7580019Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7580217Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7580414Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7580600Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7580800Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7581025Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7581358Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7581651Z     return mod(*inputs)
2025-10-10T00:52:21.7581895Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7582168Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7582438Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7582706Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7582964Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7583254Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7583559Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7583905Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7584286Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7584619Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7584735Z 
2025-10-10T00:52:21.7584833Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7585163Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7585458Z     return mod(*inputs)
2025-10-10T00:52:21.7585690Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7585964Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7586231Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7586498Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7586798Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7587089Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7587396Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7587737Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7588122Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7588457Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7588574Z 
2025-10-10T00:52:21.7588671Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7589022Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7589328Z     return mod(*inputs)
2025-10-10T00:52:21.7589563Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7589838Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7590128Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7590400Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7590658Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7590942Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7591249Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7591567Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7591930Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7592259Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7592378Z 
2025-10-10T00:52:21.7592477Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7592809Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7593113Z     return mod(*inputs)
2025-10-10T00:52:21.7593347Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7593625Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7593896Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7594166Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7594432Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7594710Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7595022Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7595339Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7595703Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7596025Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7596149Z 
2025-10-10T00:52:21.7596244Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7596577Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7596880Z     return mod(*inputs)
2025-10-10T00:52:21.7597124Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7597391Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7597660Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7597926Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7598247Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7598538Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7598851Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7599229Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7599597Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7599928Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7600038Z 
2025-10-10T00:52:21.7600134Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7600468Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7600769Z     return mod(*inputs)
2025-10-10T00:52:21.7601017Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7601316Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7601591Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7601861Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7602130Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7602249Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7602426Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7602521Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7602737Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7602813Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7602816Z 
2025-10-10T00:52:21.7602893Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7602977Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7603053Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7603151Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7603344Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7603405Z     return mod(*inputs)
2025-10-10T00:52:21.7603560Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7603637Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7603782Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7603857Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7603998Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7604109Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7604274Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7604395Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7604619Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7604685Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7604688Z 
2025-10-10T00:52:21.7604793Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7604982Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7605054Z     return mod(*inputs)
2025-10-10T00:52:21.7605196Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7605271Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7605419Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7605489Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7605639Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7605731Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7605894Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7606022Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7606264Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7606339Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7606342Z 
2025-10-10T00:52:21.7606441Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7606624Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7606693Z     return mod(*inputs)
2025-10-10T00:52:21.7606835Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7606917Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7607076Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7607146Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7607294Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7607386Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7607577Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7607673Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7607886Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7607957Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7607960Z 
2025-10-10T00:52:21.7608056Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7608247Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7608312Z     return mod(*inputs)
2025-10-10T00:52:21.7608459Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7608533Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7608674Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7608751Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7608893Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7608992Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7609154Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7609248Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7609468Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7609532Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7609536Z 
2025-10-10T00:52:21.7609641Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7609822Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7609881Z     return mod(*inputs)
2025-10-10T00:52:21.7610031Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7610108Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7610253Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7610322Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7610459Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7610555Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7610715Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7610814Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7611023Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7611096Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7611099Z 
2025-10-10T00:52:21.7611194Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7611403Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7611478Z     return mod(*inputs)
2025-10-10T00:52:21.7611619Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7611701Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7611841Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7611908Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7612058Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7612147Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7612332Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7612425Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7612634Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7612735Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7612738Z 
2025-10-10T00:52:21.7612814Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7612894Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7612968Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7613037Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7613116Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7613187Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7613265Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7613336Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7613408Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7613515Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7613702Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7613772Z     return mod(*inputs)
2025-10-10T00:52:21.7613917Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7613990Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7614142Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7614210Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7614432Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7614498Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7614501Z 
2025-10-10T00:52:21.7614571Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7614652Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7614721Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7614798Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7614893Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7615079Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7615152Z     return mod(*inputs)
2025-10-10T00:52:21.7615299Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7615381Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7615522Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:21.7615621Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:21.7615774Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:21.7615864Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:21.7616090Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7616155Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7616158Z 
2025-10-10T00:52:21.7616235Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7616306Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7616404Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7616481Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7616551Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7616645Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7616836Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7616895Z     return mod(*inputs)
2025-10-10T00:52:21.7617046Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7617118Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7617276Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7617353Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7617493Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7617591Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7617771Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7617897Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7618107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7618171Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7618174Z 
2025-10-10T00:52:21.7618275Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7618453Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7618521Z     return mod(*inputs)
2025-10-10T00:52:21.7618662Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7618734Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7618881Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7618953Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7619102Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7619193Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7619352Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7619479Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7619687Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7619758Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7619762Z 
2025-10-10T00:52:21.7619858Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7620044Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7620101Z     return mod(*inputs)
2025-10-10T00:52:21.7620243Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7620325Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7620465Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7620538Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7620679Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7620767Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7620936Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7621030Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7621247Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7621313Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7621316Z 
2025-10-10T00:52:21.7621412Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7621623Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7621686Z     return mod(*inputs)
2025-10-10T00:52:21.7621836Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7621911Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7622051Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7622129Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7622270Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7622384Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7622546Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7622642Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7622864Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7622945Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7622948Z 
2025-10-10T00:52:21.7623053Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7623236Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7623305Z     return mod(*inputs)
2025-10-10T00:52:21.7623447Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7623520Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7623669Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7623741Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7623892Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7623981Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7624145Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7624249Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7624461Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7624535Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7624538Z 
2025-10-10T00:52:21.7624633Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7624818Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7624886Z     return mod(*inputs)
2025-10-10T00:52:21.7625030Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7625115Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7625259Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7625327Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7625480Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7625571Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7625742Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7625835Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7626044Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7626119Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7626122Z 
2025-10-10T00:52:21.7626200Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7626281Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7626352Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7626529Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7626712Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7626801Z     return mod(*inputs)
2025-10-10T00:52:21.7626952Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7627026Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7627175Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7627245Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7627386Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7627487Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7627654Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7627799Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7628011Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7628078Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7628099Z 
2025-10-10T00:52:21.7628207Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7628390Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7628458Z     return mod(*inputs)
2025-10-10T00:52:21.7628600Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7628673Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7628822Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7628892Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7629043Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7629136Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7629299Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7629429Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7629641Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7629715Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7629718Z 
2025-10-10T00:52:21.7629813Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7630004Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7630064Z     return mod(*inputs)
2025-10-10T00:52:21.7630207Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7630288Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7630428Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7630501Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7630642Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7630735Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7630907Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7631002Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7631218Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7631284Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7631286Z 
2025-10-10T00:52:21.7631381Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7631571Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7631632Z     return mod(*inputs)
2025-10-10T00:52:21.7631781Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7631853Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7632025Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7632107Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7632248Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7632343Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7632504Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7632602Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7632813Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7632907Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7632909Z 
2025-10-10T00:52:21.7633013Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7633199Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7633265Z     return mod(*inputs)
2025-10-10T00:52:21.7633429Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7633505Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7633656Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7633725Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7633873Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7633965Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7634129Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7634237Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7634449Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7634526Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7634528Z 
2025-10-10T00:52:21.7634630Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7634815Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7634886Z     return mod(*inputs)
2025-10-10T00:52:21.7635030Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7635115Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7635258Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7635330Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7635483Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7635579Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7635753Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7635850Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7636073Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7636142Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7636145Z 
2025-10-10T00:52:21.7636223Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7636309Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7636382Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7636462Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7636534Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7636607Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7636688Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7636761Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7636840Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7636913Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7636984Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7637064Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7637164Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7637264Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7637455Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7637516Z     return mod(*inputs)
2025-10-10T00:52:21.7637664Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7637737Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7637879Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:21.7637999Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:21.7638137Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:21.7638231Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:21.7638448Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7638538Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7638541Z 
2025-10-10T00:52:21.7638612Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7638683Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7638761Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7638831Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7638909Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7639003Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7639183Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7639252Z     return mod(*inputs)
2025-10-10T00:52:21.7639391Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7639473Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7639611Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7639684Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7639831Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7639921Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7640089Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7640208Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7640418Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7640492Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7640495Z 
2025-10-10T00:52:21.7640591Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7640780Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7640839Z     return mod(*inputs)
2025-10-10T00:52:21.7640981Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7641063Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7641201Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7641276Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7641413Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7641501Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7641669Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 63, in apply_rotary_emb
2025-10-10T00:52:21.7641787Z     xq_ = torch.view_as_complex(xq.float().reshape(*xq.shape[:-1], -1, 2))
2025-10-10T00:52:21.7642000Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7642064Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7642067Z 
2025-10-10T00:52:21.7642168Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7642385Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7642446Z     return mod(*inputs)
2025-10-10T00:52:21.7642598Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7642670Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7642819Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7642886Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7643026Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7643145Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7643307Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7643411Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7643622Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7643703Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7643706Z 
2025-10-10T00:52:21.7643809Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7643993Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7644061Z     return mod(*inputs)
2025-10-10T00:52:21.7644203Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7644275Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7644422Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7644489Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7644635Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7644723Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7644888Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7644994Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7645206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7645278Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7645281Z 
2025-10-10T00:52:21.7645377Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7645568Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7645631Z     return mod(*inputs)
2025-10-10T00:52:21.7645773Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7645857Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7645998Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7646076Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7646221Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7646309Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7646482Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7646576Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7646795Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7646860Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7646865Z 
2025-10-10T00:52:21.7646960Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7647160Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7647222Z     return mod(*inputs)
2025-10-10T00:52:21.7647375Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7647480Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7647629Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7647696Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7647836Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7647934Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7648097Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 66, in apply_rotary_emb
2025-10-10T00:52:21.7648198Z     xq_out = torch.view_as_real(xq_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7648427Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7648491Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7648494Z 
2025-10-10T00:52:21.7648576Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7648652Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7648752Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7648850Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7649031Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7649101Z     return mod(*inputs)
2025-10-10T00:52:21.7649242Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7649325Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7649467Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7649537Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7649686Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7649778Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7649948Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7650070Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7650283Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7650357Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7650360Z 
2025-10-10T00:52:21.7650455Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7650646Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7650705Z     return mod(*inputs)
2025-10-10T00:52:21.7650846Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7650929Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7651068Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7651144Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7651284Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7651382Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7651545Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 64, in apply_rotary_emb
2025-10-10T00:52:21.7651663Z     xk_ = torch.view_as_complex(xk.float().reshape(*xk.shape[:-1], -1, 2))
2025-10-10T00:52:21.7651880Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7651943Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7651946Z 
2025-10-10T00:52:21.7652047Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7652227Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7652287Z     return mod(*inputs)
2025-10-10T00:52:21.7652437Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7652508Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7652699Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7652768Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7652907Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7653004Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7653166Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7653266Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7653474Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7653553Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7653561Z 
2025-10-10T00:52:21.7653656Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7653837Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7653929Z     return mod(*inputs)
2025-10-10T00:52:21.7654069Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7654150Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7654290Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7654357Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7654504Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7654593Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7654765Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7654859Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7655068Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7655142Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7655146Z 
2025-10-10T00:52:21.7655244Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7655434Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7655495Z     return mod(*inputs)
2025-10-10T00:52:21.7655633Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7655715Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7655855Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7655932Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7656073Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7656163Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7656334Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7656427Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7656647Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7656713Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7656716Z 
2025-10-10T00:52:21.7656817Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7656998Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7657059Z     return mod(*inputs)
2025-10-10T00:52:21.7657206Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7657280Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7657427Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7657495Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7657634Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 123, in forward
2025-10-10T00:52:21.7657760Z     xq, xk = apply_rotary_emb(xq, xk, freqs_cis=freqs_cis)
2025-10-10T00:52:21.7657927Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 67, in apply_rotary_emb
2025-10-10T00:52:21.7658027Z     xk_out = torch.view_as_real(xk_ * freqs_cis).flatten(3)
2025-10-10T00:52:21.7658235Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7658301Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7658304Z 
2025-10-10T00:52:21.7658388Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7658462Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7658557Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7658627Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7658696Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7658776Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7658844Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7658920Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7659014Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7659110Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7659301Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7659364Z     return mod(*inputs)
2025-10-10T00:52:21.7659514Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7659589Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7659729Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 194, in forward
2025-10-10T00:52:21.7659807Z     h = x + self.attention.forward(
2025-10-10T00:52:21.7660019Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7660091Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7660093Z 
2025-10-10T00:52:21.7660165Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7660239Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7660320Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7660391Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7660500Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7660679Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7660741Z     return mod(*inputs)
2025-10-10T00:52:21.7660891Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 242, in forward
2025-10-10T00:52:21.7660963Z     h = layer(h, start_pos, freqs_cis, mask)
2025-10-10T00:52:21.7675260Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 197, in forward
2025-10-10T00:52:21.7675446Z     out = h + self.feed_forward.forward(self.ffn_norm(h))
2025-10-10T00:52:21.7675627Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 170, in forward
2025-10-10T00:52:21.7675721Z     return self.w2(F.silu(self.w1(x)) * self.w3(x))
2025-10-10T00:52:21.7675981Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7676067Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7676072Z 
2025-10-10T00:52:21.7676154Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7676241Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7676314Z cudagraph partition due to non gpu ops
2025-10-10T00:52:21.7676419Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7676626Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7676695Z     return mod(*inputs)
2025-10-10T00:52:21.7676856Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-10-10T00:52:21.7676977Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-10-10T00:52:21.7677206Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7677369Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7677373Z 
2025-10-10T00:52:21.7677480Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7677678Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7677740Z     return mod(*inputs)
2025-10-10T00:52:21.7677893Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-10-10T00:52:21.7678014Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-10-10T00:52:21.7678232Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7678333Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7678336Z 
2025-10-10T00:52:21.7678434Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7678631Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7678736Z     return mod(*inputs)
2025-10-10T00:52:21.7678887Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 244, in forward
2025-10-10T00:52:21.7679006Z     output = self.output(h[:, -1, :])  # only compute last logits
2025-10-10T00:52:21.7679223Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7679300Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7679303Z 
2025-10-10T00:52:21.7679397Z cudagraph partition due to non gpu ops. Found from : 
2025-10-10T00:52:21.7679585Z    File "/var/lib/jenkins/workspace/benchmarks/dynamo/torchbench.py", line 456, in forward_pass
2025-10-10T00:52:21.7679658Z     return mod(*inputs)
2025-10-10T00:52:21.7679807Z   File "/torchbench/torchbenchmark/models/llama/model.py", line 245, in forward
2025-10-10T00:52:21.7679885Z     return output.float()
2025-10-10T00:52:21.7680107Z   File "/opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/utils/_device.py", line 104, in __torch_function__
2025-10-10T00:52:21.7680174Z     return func(*args, **kwargs)
2025-10-10T00:52:21.7680177Z 
2025-10-10T00:52:23.5747768Z 
2025-10-10T00:52:23.6954952Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:52:23.8135996Z running benchmark:   8% 4/50 [00:00<00:01, 32.99it/s]
2025-10-10T00:52:23.9303618Z running benchmark:  16% 8/50 [00:00<00:01, 33.49it/s]
2025-10-10T00:52:24.0471936Z running benchmark:  24% 12/50 [00:00<00:01, 33.83it/s]
2025-10-10T00:52:24.1633130Z running benchmark:  32% 16/50 [00:00<00:01, 33.99it/s]
2025-10-10T00:52:24.2788667Z running benchmark:  40% 20/50 [00:00<00:00, 34.16it/s]
2025-10-10T00:52:24.3941921Z running benchmark:  48% 24/50 [00:00<00:00, 34.31it/s]
2025-10-10T00:52:24.5114000Z running benchmark:  56% 28/50 [00:00<00:00, 34.43it/s]
2025-10-10T00:52:24.6333032Z running benchmark:  64% 32/50 [00:00<00:00, 34.33it/s]
2025-10-10T00:52:24.7495544Z running benchmark:  72% 36/50 [00:01<00:00, 33.84it/s]
2025-10-10T00:52:24.8638915Z running benchmark:  80% 40/50 [00:01<00:00, 34.02it/s]
2025-10-10T00:52:24.9787238Z running benchmark:  88% 44/50 [00:01<00:00, 34.31it/s]
2025-10-10T00:52:25.0366377Z running benchmark:  96% 48/50 [00:01<00:00, 34.46it/s]
2025-10-10T00:52:25.0366840Z running benchmark: 100% 50/50 [00:01<00:00, 34.19it/s]
2025-10-10T00:52:25.0575146Z 2.307x
2025-10-10T00:52:25.0575534Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:52:26.0793019Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:52:26.0811106Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:52:26.0811821Z cpu,llama,32,2.307299,8.534754,26.568393,0.978990,779.739136,796.472934,1062,2,0,0,0,0,2
2025-10-10T00:52:26.0812734Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv -t 1.33157028 -s 0.99
2025-10-10T00:52:26.3313800Z llama                              2.307299
2025-10-10T00:52:26.3687722Z + IFS=,
2025-10-10T00:52:26.3687969Z + read -r -a model_cfg
2025-10-10T00:52:26.3688196Z + local model_name=mnasnet1_0
2025-10-10T00:52:26.3688402Z + local data_type=amp
2025-10-10T00:52:26.3688608Z + local speedup_target=2.1296814
2025-10-10T00:52:26.3688832Z + local backend=inductor
2025-10-10T00:52:26.3689029Z + [[ cpp == \c\p\p ]]
2025-10-10T00:52:26.3689227Z + export TORCHINDUCTOR_CPP_WRAPPER=1
2025-10-10T00:52:26.3689711Z + TORCHINDUCTOR_CPP_WRAPPER=1
2025-10-10T00:52:26.3690191Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:52:26.3690664Z + [[ static == \d\y\n\a\m\i\c ]]
2025-10-10T00:52:26.3691494Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only mnasnet1_0 --freezing --timeout 9000 --inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:52:26.6909883Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:52:26.6911319Z   import pynvml  # type: ignore[import]
2025-10-10T00:52:28.4089132Z 
2025-10-10T00:52:28.5591472Z 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
2025-10-10T00:52:28.5803535Z 
2025-10-10T00:52:28.5803592Z 
2025-10-10T00:52:28.6230879Z   0% 0.00/16.9M [00:00<?, ?B/s]
2025-10-10T00:52:28.6231238Z 100% 16.9M/16.9M [00:00<00:00, 415MB/s]
2025-10-10T00:52:28.8579030Z 
2025-10-10T00:52:28.8579495Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:52:28.8579826Z cpu  eval  mnasnet1_0                         
2025-10-10T00:52:30.7632436Z skipping cudagraphs due to cpp wrapper enabled
2025-10-10T00:52:42.8230174Z 
2025-10-10T00:52:42.9251877Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:52:43.0274604Z running benchmark:   8% 4/50 [00:00<00:01, 39.22it/s]
2025-10-10T00:52:43.1281185Z running benchmark:  16% 8/50 [00:00<00:01, 39.15it/s]
2025-10-10T00:52:43.2301480Z running benchmark:  24% 12/50 [00:00<00:00, 39.41it/s]
2025-10-10T00:52:43.3405920Z running benchmark:  32% 16/50 [00:00<00:00, 39.33it/s]
2025-10-10T00:52:43.4422450Z running benchmark:  40% 20/50 [00:00<00:00, 38.15it/s]
2025-10-10T00:52:43.5436195Z running benchmark:  48% 24/50 [00:00<00:00, 38.55it/s]
2025-10-10T00:52:43.6441366Z running benchmark:  56% 28/50 [00:00<00:00, 38.84it/s]
2025-10-10T00:52:43.7445215Z running benchmark:  64% 32/50 [00:00<00:00, 39.14it/s]
2025-10-10T00:52:43.8462399Z running benchmark:  72% 36/50 [00:00<00:00, 39.36it/s]
2025-10-10T00:52:43.9477441Z running benchmark:  80% 40/50 [00:01<00:00, 39.35it/s]
2025-10-10T00:52:44.0483290Z running benchmark:  88% 44/50 [00:01<00:00, 39.37it/s]
2025-10-10T00:52:44.0985752Z running benchmark:  96% 48/50 [00:01<00:00, 39.49it/s]
2025-10-10T00:52:44.0986202Z running benchmark: 100% 50/50 [00:01<00:00, 39.20it/s]
2025-10-10T00:52:44.1207883Z 4.101x
2025-10-10T00:52:44.1209952Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:52:45.0461631Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:52:45.0477283Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:52:45.0478358Z cpu,mnasnet1_0,32,4.100569,4.794840,12.877630,0.924938,135.619789,146.625741,154,1,0,0,0,0,1
2025-10-10T00:52:45.0480158Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv -t 2.1296814 -s 0.99
2025-10-10T00:52:45.3148291Z mnasnet1_0                         4.100569
2025-10-10T00:52:45.3521338Z + IFS=,
2025-10-10T00:52:45.3521580Z + read -r -a model_cfg
2025-10-10T00:52:45.3521816Z + local model_name=densenet121
2025-10-10T00:52:45.3522036Z + local data_type=amp
2025-10-10T00:52:45.3522520Z + local speedup_target=1.25591385
2025-10-10T00:52:45.3522764Z + local backend=export-aot-inductor
2025-10-10T00:52:45.3523008Z + [[ default == \c\p\p ]]
2025-10-10T00:52:45.3523223Z + unset TORCHINDUCTOR_CPP_WRAPPER
2025-10-10T00:52:45.3523761Z + local output_name=/var/lib/jenkins/workspace/test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:52:45.3524346Z + [[ static == \d\y\n\a\m\i\c ]]
2025-10-10T00:52:45.3525241Z + taskset -c 0-93 python benchmarks/dynamo/torchbench.py --inference --performance --amp -dcpu -n50 --only densenet121 --freezing --timeout 9000 --export-aot-inductor --output /var/lib/jenkins/workspace/test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:52:45.6821901Z /opt/conda/envs/py_3.10/lib/python3.10/site-packages/torch/cuda/__init__.py:64: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
2025-10-10T00:52:45.6823358Z   import pynvml  # type: ignore[import]
2025-10-10T00:52:47.4002960Z 
2025-10-10T00:52:47.5817490Z loading model: 0it [00:00, ?it/s]Downloading: "https://download.pytorch.org/models/densenet121-a639ec97.pth" to /var/lib/jenkins/.cache/torch/hub/checkpoints/densenet121-a639ec97.pth
2025-10-10T00:52:47.5939772Z 
2025-10-10T00:52:47.5939801Z 
2025-10-10T00:52:47.6888846Z   0% 0.00/30.8M [00:00<?, ?B/s]
2025-10-10T00:52:47.6889175Z 100% 30.8M/30.8M [00:00<00:00, 342MB/s]
2025-10-10T00:52:48.2507150Z 
2025-10-10T00:52:48.2507674Z loading model: 0it [00:00, ?it/s]
2025-10-10T00:52:48.2508035Z cpu  eval  densenet121                        
2025-10-10T00:52:51.6415670Z skipping cudagraphs due to cpp wrapper enabled
2025-10-10T00:53:15.7071920Z 
2025-10-10T00:53:15.9011138Z running benchmark:   0% 0/50 [00:00<?, ?it/s]
2025-10-10T00:53:16.0521956Z running benchmark:   2% 1/50 [00:00<00:09,  5.15it/s]
2025-10-10T00:53:16.2029024Z running benchmark:   4% 2/50 [00:00<00:08,  5.92it/s]
2025-10-10T00:53:16.3524220Z running benchmark:   6% 3/50 [00:00<00:07,  6.23it/s]
2025-10-10T00:53:16.5016244Z running benchmark:   8% 4/50 [00:00<00:07,  6.40it/s]
2025-10-10T00:53:16.6618979Z running benchmark:  10% 5/50 [00:00<00:06,  6.51it/s]
2025-10-10T00:53:16.8102158Z running benchmark:  12% 6/50 [00:00<00:06,  6.41it/s]
2025-10-10T00:53:16.9575181Z running benchmark:  14% 7/50 [00:01<00:06,  6.52it/s]
2025-10-10T00:53:17.1044237Z running benchmark:  16% 8/50 [00:01<00:06,  6.60it/s]
2025-10-10T00:53:17.2528122Z running benchmark:  18% 9/50 [00:01<00:06,  6.66it/s]
2025-10-10T00:53:17.4005688Z running benchmark:  20% 10/50 [00:01<00:05,  6.69it/s]
2025-10-10T00:53:17.5492158Z running benchmark:  22% 11/50 [00:01<00:05,  6.71it/s]
2025-10-10T00:53:17.7115587Z running benchmark:  24% 12/50 [00:01<00:05,  6.72it/s]
2025-10-10T00:53:17.8593901Z running benchmark:  26% 13/50 [00:02<00:05,  6.54it/s]
2025-10-10T00:53:18.0103340Z running benchmark:  28% 14/50 [00:02<00:05,  6.60it/s]
2025-10-10T00:53:18.1701338Z running benchmark:  30% 15/50 [00:02<00:05,  6.61it/s]
2025-10-10T00:53:18.3206066Z running benchmark:  32% 16/50 [00:02<00:05,  6.50it/s]
2025-10-10T00:53:18.4694250Z running benchmark:  34% 17/50 [00:02<00:05,  6.54it/s]
2025-10-10T00:53:18.6216747Z running benchmark:  36% 18/50 [00:02<00:04,  6.60it/s]
2025-10-10T00:53:18.7905090Z running benchmark:  38% 19/50 [00:02<00:04,  6.59it/s]
2025-10-10T00:53:18.9392424Z running benchmark:  40% 20/50 [00:03<00:04,  6.37it/s]
2025-10-10T00:53:19.0883405Z running benchmark:  42% 21/50 [00:03<00:04,  6.47it/s]
2025-10-10T00:53:19.2446360Z running benchmark:  44% 22/50 [00:03<00:04,  6.54it/s]
2025-10-10T00:53:19.3988311Z running benchmark:  46% 23/50 [00:03<00:04,  6.50it/s]
2025-10-10T00:53:19.5487013Z running benchmark:  48% 24/50 [00:03<00:04,  6.49it/s]
2025-10-10T00:53:19.6995875Z running benchmark:  50% 25/50 [00:03<00:03,  6.55it/s]
2025-10-10T00:53:19.8708584Z running benchmark:  52% 26/50 [00:03<00:03,  6.57it/s]
2025-10-10T00:53:20.0221267Z running benchmark:  54% 27/50 [00:04<00:03,  6.33it/s]
2025-10-10T00:53:20.1723135Z running benchmark:  56% 28/50 [00:04<00:03,  6.41it/s]
2025-10-10T00:53:20.3273259Z running benchmark:  58% 29/50 [00:04<00:03,  6.48it/s]
2025-10-10T00:53:20.4816674Z running benchmark:  60% 30/50 [00:04<00:03,  6.48it/s]
2025-10-10T00:53:20.6295844Z running benchmark:  62% 31/50 [00:04<00:02,  6.48it/s]
2025-10-10T00:53:20.7798936Z running benchmark:  64% 32/50 [00:04<00:02,  6.56it/s]
2025-10-10T00:53:20.9509601Z running benchmark:  66% 33/50 [00:05<00:02,  6.59it/s]
2025-10-10T00:53:21.1009601Z running benchmark:  68% 34/50 [00:05<00:02,  6.35it/s]
2025-10-10T00:53:21.2514915Z running benchmark:  70% 35/50 [00:05<00:02,  6.44it/s]
2025-10-10T00:53:21.4093373Z running benchmark:  72% 36/50 [00:05<00:02,  6.50it/s]
2025-10-10T00:53:21.5614457Z running benchmark:  74% 37/50 [00:05<00:02,  6.45it/s]
2025-10-10T00:53:21.7127016Z running benchmark:  76% 38/50 [00:05<00:01,  6.49it/s]
2025-10-10T00:53:21.8718207Z running benchmark:  78% 39/50 [00:06<00:01,  6.52it/s]
2025-10-10T00:53:22.0356022Z running benchmark:  80% 40/50 [00:06<00:01,  6.45it/s]
2025-10-10T00:53:22.1849598Z running benchmark:  82% 41/50 [00:06<00:01,  6.34it/s]
2025-10-10T00:53:22.3389652Z running benchmark:  84% 42/50 [00:06<00:01,  6.44it/s]
2025-10-10T00:53:22.4968293Z running benchmark:  86% 43/50 [00:06<00:01,  6.46it/s]
2025-10-10T00:53:22.6467268Z running benchmark:  88% 44/50 [00:06<00:00,  6.42it/s]
2025-10-10T00:53:22.7985394Z running benchmark:  90% 45/50 [00:06<00:00,  6.49it/s]
2025-10-10T00:53:22.9559919Z running benchmark:  92% 46/50 [00:07<00:00,  6.52it/s]
2025-10-10T00:53:23.1177300Z running benchmark:  94% 47/50 [00:07<00:00,  6.47it/s]
2025-10-10T00:53:23.2691671Z running benchmark:  96% 48/50 [00:07<00:00,  6.38it/s]
2025-10-10T00:53:23.4275577Z running benchmark:  98% 49/50 [00:07<00:00,  6.45it/s]
2025-10-10T00:53:23.4276129Z running benchmark: 100% 50/50 [00:07<00:00,  6.41it/s]
2025-10-10T00:53:23.4276635Z running benchmark: 100% 50/50 [00:07<00:00,  6.48it/s]
2025-10-10T00:53:23.4506753Z 2.895x
2025-10-10T00:53:23.4507223Z WARNING:common:Trying to call the empty_gpu_cache for device: cpu, which is not in list [cuda, xpu]
2025-10-10T00:53:24.9866651Z + cat /var/lib/jenkins/workspace/test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv
2025-10-10T00:53:24.9884557Z dev,name,batch_size,speedup,abs_latency,compilation_latency,compression_ratio,eager_peak_mem,dynamo_peak_mem,calls_captured,unique_graphs,graph_breaks,unique_graph_breaks,autograd_captures,autograd_compiles,cudagraph_skips
2025-10-10T00:53:24.9885310Z cpu,densenet121,64,2.894753,38.494950,26.061082,0.960932,512.395264,533.227520,0,0,0,0,0,0,1
2025-10-10T00:53:24.9886172Z + python benchmarks/dynamo/check_perf_csv.py -f /var/lib/jenkins/workspace/test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv -t 1.25591385 -s 0.99
2025-10-10T00:53:25.2430610Z densenet121                        2.894753
2025-10-10T00:53:25.2813098Z + IFS=,
2025-10-10T00:53:25.2813328Z + read -r -a model_cfg
2025-10-10T00:53:25.2816080Z + sccache_epilogue
2025-10-10T00:53:25.2816332Z + echo '::group::Sccache Compilation Log'
2025-10-10T00:53:25.2816882Z ##[group]Sccache Compilation Log
2025-10-10T00:53:25.2817450Z + echo '=================== sccache compilation log ==================='
2025-10-10T00:53:25.2817779Z =================== sccache compilation log ===================
2025-10-10T00:53:25.2818224Z + python /var/lib/jenkins/workspace/.ci/pytorch/print_sccache_log.py /var/lib/jenkins/sccache_error.log
2025-10-10T00:53:25.3034840Z + echo '=========== If your build fails, please take a look at the log above for possible reasons ==========='
2025-10-10T00:53:25.3035427Z =========== If your build fails, please take a look at the log above for possible reasons ===========
2025-10-10T00:53:25.3035783Z + sccache --show-stats
2025-10-10T00:53:25.3065202Z Compile requests                    166
2025-10-10T00:53:25.3065726Z Compile requests executed             8
2025-10-10T00:53:25.3065955Z Cache hits                            5
2025-10-10T00:53:25.3066169Z Cache hits (C/C++)                    5
2025-10-10T00:53:25.3066391Z Cache misses                          3
2025-10-10T00:53:25.3066610Z Cache misses (C/C++)                  3
2025-10-10T00:53:25.3066917Z Cache hits rate                   62.50 %
2025-10-10T00:53:25.3067150Z Cache hits rate (C/C++)           62.50 %
2025-10-10T00:53:25.3067381Z Cache timeouts                        0
2025-10-10T00:53:25.3067603Z Cache read errors                     0
2025-10-10T00:53:25.3067828Z Forced recaches                       0
2025-10-10T00:53:25.3068061Z Cache write errors                    0
2025-10-10T00:53:25.3068278Z Cache errors                          0
2025-10-10T00:53:25.3068494Z Compilations                          3
2025-10-10T00:53:25.3068721Z Compilation failures                  0
2025-10-10T00:53:25.3068945Z Non-cacheable compilations            0
2025-10-10T00:53:25.3069175Z Non-cacheable calls                  22
2025-10-10T00:53:25.3069420Z Non-compilation calls               136
2025-10-10T00:53:25.3069649Z Unsupported compiler calls            0
2025-10-10T00:53:25.3069883Z Average cache write               0.045 s
2025-10-10T00:53:25.3070115Z Average compiler                  3.091 s
2025-10-10T00:53:25.3070353Z Average cache read hit            0.063 s
2025-10-10T00:53:25.3070575Z Failed distributed compilations       0
2025-10-10T00:53:25.3070736Z 
2025-10-10T00:53:25.3070813Z Non-cacheable reasons:
2025-10-10T00:53:25.3071009Z -E                                   18
2025-10-10T00:53:25.3071242Z unknown source language               4
2025-10-10T00:53:25.3071384Z 
2025-10-10T00:53:25.3071558Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-10-10T00:53:25.3071875Z Version (client)                0.10.0
2025-10-10T00:53:25.3072110Z + sccache --stop-server
2025-10-10T00:53:25.3095202Z Stopping sccache server...
2025-10-10T00:53:25.3097774Z Compile requests                    166
2025-10-10T00:53:25.3097995Z Compile requests executed             8
2025-10-10T00:53:25.3098296Z Cache hits                            5
2025-10-10T00:53:25.3098522Z Cache hits (C/C++)                    5
2025-10-10T00:53:25.3098736Z Cache misses                          3
2025-10-10T00:53:25.3098947Z Cache misses (C/C++)                  3
2025-10-10T00:53:25.3099165Z Cache hits rate                   62.50 %
2025-10-10T00:53:25.3099388Z Cache hits rate (C/C++)           62.50 %
2025-10-10T00:53:25.3099603Z Cache timeouts                        0
2025-10-10T00:53:25.3099809Z Cache read errors                     0
2025-10-10T00:53:25.3100023Z Forced recaches                       0
2025-10-10T00:53:25.3100230Z Cache write errors                    0
2025-10-10T00:53:25.3100435Z Cache errors                          0
2025-10-10T00:53:25.3100646Z Compilations                          3
2025-10-10T00:53:25.3100857Z Compilation failures                  0
2025-10-10T00:53:25.3101081Z Non-cacheable compilations            0
2025-10-10T00:53:25.3101300Z Non-cacheable calls                  22
2025-10-10T00:53:25.3101524Z Non-compilation calls               136
2025-10-10T00:53:25.3101742Z Unsupported compiler calls            0
2025-10-10T00:53:25.3102036Z Average cache write               0.045 s
2025-10-10T00:53:25.3102245Z Average compiler                  3.091 s
2025-10-10T00:53:25.3102445Z Average cache read hit            0.063 s
2025-10-10T00:53:25.3102643Z Failed distributed compilations       0
2025-10-10T00:53:25.3102781Z 
2025-10-10T00:53:25.3102849Z Non-cacheable reasons:
2025-10-10T00:53:25.3103028Z -E                                   18
2025-10-10T00:53:25.3103226Z unknown source language               4
2025-10-10T00:53:25.3103348Z 
2025-10-10T00:53:25.3103491Z Cache location                  s3, name: ossci-compiler-cache-circleci-v2, prefix: /
2025-10-10T00:53:25.3103766Z Version (client)                0.10.0
2025-10-10T00:53:25.3104022Z + echo ::endgroup::
2025-10-10T00:53:25.3104462Z ##[endgroup]
2025-10-10T00:53:25.3104624Z + cleanup_workspace
2025-10-10T00:53:25.3104935Z + echo 'sudo may print the following warning message that can be ignored. The chown command will still run.'
2025-10-10T00:53:25.3105384Z sudo may print the following warning message that can be ignored. The chown command will still run.
2025-10-10T00:53:25.3105784Z + echo '    sudo: setrlimit(RLIMIT_STACK): Operation not permitted'
2025-10-10T00:53:25.3106077Z     sudo: setrlimit(RLIMIT_STACK): Operation not permitted
2025-10-10T00:53:25.3106425Z + echo 'For more details refer to https://github.com/sudo-project/sudo/issues/42'
2025-10-10T00:53:25.3106769Z For more details refer to https://github.com/sudo-project/sudo/issues/42
2025-10-10T00:53:25.3107042Z + sudo chown -R 1000 /var/lib/jenkins/workspace
2025-10-10T00:53:25.7256586Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-10-10T00:53:25.7256918Z with:
2025-10-10T00:53:25.7257116Z   benchmark-results-dir: test/test-reports
2025-10-10T00:53:25.7257347Z   dry-run: false
2025-10-10T00:53:25.7257526Z   schema-version: v3
2025-10-10T00:53:25.7257893Z   github-token: ***
2025-10-10T00:53:25.7258058Z env:
2025-10-10T00:53:25.7258220Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:25.7258550Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:25.7258892Z ##[endgroup]
2025-10-10T00:53:25.7280969Z ##[group]Run set -eux
2025-10-10T00:53:25.7281180Z set -eux
2025-10-10T00:53:25.7281333Z 
2025-10-10T00:53:25.7281492Z if [[ -n "" ]]; then
2025-10-10T00:53:25.7281679Z   source ""
2025-10-10T00:53:25.7281843Z fi
2025-10-10T00:53:25.7282074Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-10-10T00:53:25.7282385Z 
2025-10-10T00:53:25.7282538Z DEVICE_NAME=""
2025-10-10T00:53:25.7282723Z DEVICE_TYPE=""
2025-10-10T00:53:25.7282890Z 
2025-10-10T00:53:25.7283056Z if command -v nvidia-smi; then
2025-10-10T00:53:25.7283346Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-10-10T00:53:25.7283692Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-10-10T00:53:25.7284030Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-10-10T00:53:25.7284303Z   python3 -mpip install torch==2.7.1
2025-10-10T00:53:25.7284530Z elif command -v rocminfo; then
2025-10-10T00:53:25.7284804Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-10-10T00:53:25.7285147Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-10-10T00:53:25.7285486Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-10-10T00:53:25.7285791Z   # GPU device name coming from rocminfo instead
2025-10-10T00:53:25.7286024Z   DEVICE_NAME=rocm
2025-10-10T00:53:25.7286325Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-10-10T00:53:25.7286629Z fi
2025-10-10T00:53:25.7286779Z 
2025-10-10T00:53:25.7286972Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-10-10T00:53:25.7287233Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-10-10T00:53:25.7296996Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:25.7297257Z env:
2025-10-10T00:53:25.7297419Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:25.7297710Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:25.7298012Z ##[endgroup]
2025-10-10T00:53:25.7322792Z + [[ -n '' ]]
2025-10-10T00:53:25.7323099Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-10-10T00:53:25.8943978Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T00:53:26.6007673Z Collecting boto3==1.35.33
2025-10-10T00:53:26.6133463Z   Downloading boto3-1.35.33-py3-none-any.whl (139 kB)
2025-10-10T00:53:26.8136960Z Collecting psutil==7.0.0
2025-10-10T00:53:26.8163687Z   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)
2025-10-10T00:53:26.8379804Z Collecting pynvml==12.0.0
2025-10-10T00:53:26.8405666Z   Downloading pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-10-10T00:53:26.8467416Z 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)
2025-10-10T00:53:27.5843158Z Collecting botocore<1.36.0,>=1.35.33
2025-10-10T00:53:27.5876862Z   Downloading botocore-1.35.99-py3-none-any.whl (13.3 MB)
2025-10-10T00:53:27.7036460Z Collecting s3transfer<0.11.0,>=0.10.0
2025-10-10T00:53:27.7344232Z   Downloading s3transfer-0.10.4-py3-none-any.whl (83 kB)
2025-10-10T00:53:27.7666359Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0
2025-10-10T00:53:27.7694993Z   Downloading nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-10-10T00:53:27.7759884Z 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)
2025-10-10T00:53:27.7763920Z 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)
2025-10-10T00:53:27.8620420Z 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)
2025-10-10T00:53:27.9505995Z Installing collected packages: botocore, s3transfer, nvidia-ml-py, pynvml, psutil, boto3
2025-10-10T00:53:28.2626369Z   Attempting uninstall: nvidia-ml-py
2025-10-10T00:53:28.2626761Z     Found existing installation: nvidia-ml-py 11.525.84
2025-10-10T00:53:28.2633179Z     Uninstalling nvidia-ml-py-11.525.84:
2025-10-10T00:53:28.2748608Z       Successfully uninstalled nvidia-ml-py-11.525.84
2025-10-10T00:53:28.3164794Z   Attempting uninstall: psutil
2025-10-10T00:53:28.3165113Z     Found existing installation: psutil 5.9.8
2025-10-10T00:53:28.3204183Z     Uninstalling psutil-5.9.8:
2025-10-10T00:53:28.3208079Z       Successfully uninstalled psutil-5.9.8
2025-10-10T00:53:28.4390277Z 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
2025-10-10T00:53:28.5304573Z + DEVICE_NAME=
2025-10-10T00:53:28.5304837Z + DEVICE_TYPE=
2025-10-10T00:53:28.5305017Z + command -v nvidia-smi
2025-10-10T00:53:28.5305256Z + command -v rocminfo
2025-10-10T00:53:28.5305488Z + echo DEVICE_NAME=
2025-10-10T00:53:28.5305745Z + echo DEVICE_TYPE=
2025-10-10T00:53:28.5328207Z ##[group]Run set -eux
2025-10-10T00:53:28.5328397Z set -eux
2025-10-10T00:53:28.5328560Z 
2025-10-10T00:53:28.5328735Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-10-10T00:53:28.5328969Z   echo "Missing github-token input"
2025-10-10T00:53:28.5329157Z   exit 1
2025-10-10T00:53:28.5329300Z fi
2025-10-10T00:53:28.5334141Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:28.5334373Z env:
2025-10-10T00:53:28.5334525Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:28.5334813Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:28.5335101Z   DEVICE_NAME: 
2025-10-10T00:53:28.5335252Z   DEVICE_TYPE: 
2025-10-10T00:53:28.5335590Z   GITHUB_TOKEN: ***
2025-10-10T00:53:28.5335754Z ##[endgroup]
2025-10-10T00:53:28.5356151Z + [[ -z *** ]]
2025-10-10T00:53:28.5389226Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-10-10T00:53:28.5389495Z with:
2025-10-10T00:53:28.5389755Z   github-token: ***
2025-10-10T00:53:28.5389917Z env:
2025-10-10T00:53:28.5390080Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:28.5390365Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:28.5390728Z   DEVICE_NAME: 
2025-10-10T00:53:28.5390883Z   DEVICE_TYPE: 
2025-10-10T00:53:28.5391032Z ##[endgroup]
2025-10-10T00:53:28.5404589Z ##[group]Run set -eux
2025-10-10T00:53:28.5404771Z set -eux
2025-10-10T00:53:28.5404921Z 
2025-10-10T00:53:28.5405202Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-10-10T00:53:28.5409606Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:28.5409834Z env:
2025-10-10T00:53:28.5409986Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:28.5410264Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:28.5410545Z   DEVICE_NAME: 
2025-10-10T00:53:28.5410699Z   DEVICE_TYPE: 
2025-10-10T00:53:28.5410961Z   GITHUB_TOKEN: ***
2025-10-10T00:53:28.5411222Z ##[endgroup]
2025-10-10T00:53:28.5428991Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 18392306145 i-0f16135f606f191c1
2025-10-10T00:53:29.2345845Z setting job-id=52406535456
2025-10-10T00:53:29.2346299Z setting job-name=inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:53:29.2425507Z ##[group]Run set -eux
2025-10-10T00:53:29.2425696Z set -eux
2025-10-10T00:53:29.2425846Z 
2025-10-10T00:53:29.2425994Z if [[ -n "" ]]; then
2025-10-10T00:53:29.2426169Z   source ""
2025-10-10T00:53:29.2426313Z fi
2025-10-10T00:53:29.2426451Z 
2025-10-10T00:53:29.2426690Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-10-10T00:53:29.2426998Z   --schema-version "${SCHEMA_VERSION}" \
2025-10-10T00:53:29.2427211Z   --repo "${REPO}" \
2025-10-10T00:53:29.2427403Z   --head-branch "${HEAD_BRANCH}" \
2025-10-10T00:53:29.2427607Z   --head-sha "${HEAD_SHA}" \
2025-10-10T00:53:29.2427821Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-10-10T00:53:29.2428038Z   --run-attempt "${RUN_ATTEMPT}" \
2025-10-10T00:53:29.2428234Z   --job-id "${JOB_ID}" \
2025-10-10T00:53:29.2428425Z   --job-name "${JOB_NAME}"
2025-10-10T00:53:29.2431990Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:29.2432226Z env:
2025-10-10T00:53:29.2432376Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:29.2432660Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:29.2432944Z   DEVICE_NAME: 
2025-10-10T00:53:29.2433101Z   DEVICE_TYPE: 
2025-10-10T00:53:29.2433257Z   SCHEMA_VERSION: v3
2025-10-10T00:53:29.2433424Z   REPO: pytorch/pytorch
2025-10-10T00:53:29.2433592Z   HEAD_BRANCH: refs/heads/main
2025-10-10T00:53:29.2433801Z   HEAD_SHA: 344e6365a0068c2d2847fcec0c55dd53291d475e
2025-10-10T00:53:29.2434009Z   WORKFLOW_RUN_ID: 18392306145
2025-10-10T00:53:29.2434187Z   RUN_ATTEMPT: 1
2025-10-10T00:53:29.2434329Z   JOB_ID: 52406535456
2025-10-10T00:53:29.2434626Z   JOB_NAME: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:53:29.2434937Z ##[endgroup]
2025-10-10T00:53:29.2454984Z + [[ -n '' ]]
2025-10-10T00:53:29.2456134Z + 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 344e6365a0068c2d2847fcec0c55dd53291d475e --workflow-id 18392306145 --run-attempt 1 --job-id 52406535456 --job-name 'inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)'
2025-10-10T00:53:29.2683792Z ##[group]Run set -eux
2025-10-10T00:53:29.2683973Z set -eux
2025-10-10T00:53:29.2684122Z 
2025-10-10T00:53:29.2684275Z if [[ -n "" ]]; then
2025-10-10T00:53:29.2684450Z   source ""
2025-10-10T00:53:29.2684651Z fi
2025-10-10T00:53:29.2684784Z 
2025-10-10T00:53:29.2685023Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-10-10T00:53:29.2688480Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:29.2688706Z env:
2025-10-10T00:53:29.2688847Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:29.2689167Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:29.2689451Z   DEVICE_NAME: 
2025-10-10T00:53:29.2689601Z   DEVICE_TYPE: 
2025-10-10T00:53:29.2689739Z ##[endgroup]
2025-10-10T00:53:29.2705998Z + [[ -n '' ]]
2025-10-10T00:53:29.2706605Z + python3 /home/ec2-user/actions-runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-10-10T00:53:29.2986109Z INFO:root:Fail to import torch to get the device name
2025-10-10T00:53:29.3063851Z ##[group]Run set -eux
2025-10-10T00:53:29.3064036Z set -eux
2025-10-10T00:53:29.3064186Z 
2025-10-10T00:53:29.3064348Z # TODO (huydhn): Implement this part
2025-10-10T00:53:29.3064586Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-10-10T00:53:29.3067931Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:29.3068153Z env:
2025-10-10T00:53:29.3068301Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:29.3068580Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:29.3068869Z   DEVICE_NAME: 
2025-10-10T00:53:29.3069018Z   DEVICE_TYPE: 
2025-10-10T00:53:29.3069161Z ##[endgroup]
2025-10-10T00:53:29.3085296Z + echo 'dependencies={}'
2025-10-10T00:53:29.3111326Z ##[group]Run set -eux
2025-10-10T00:53:29.3111511Z set -eux
2025-10-10T00:53:29.3111662Z 
2025-10-10T00:53:29.3111822Z if [[ -n "" ]]; then
2025-10-10T00:53:29.3111988Z   source ""
2025-10-10T00:53:29.3112138Z fi
2025-10-10T00:53:29.3112282Z 
2025-10-10T00:53:29.3112457Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-10-10T00:53:29.3112716Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-10-10T00:53:29.3113001Z   # We don't want the job to fail if the directory doesn't exist
2025-10-10T00:53:29.3113231Z   exit 0
2025-10-10T00:53:29.3113381Z fi
2025-10-10T00:53:29.3113512Z 
2025-10-10T00:53:29.3113672Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-10-10T00:53:29.3113956Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-10-10T00:53:29.3114279Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-10-10T00:53:29.3114535Z     --metadata "${BENCHMARK_METADATA}" \
2025-10-10T00:53:29.3114743Z     --runners "${RUNNER_INFO}" \
2025-10-10T00:53:29.3114960Z     --dependencies "${DEPENDENCIES}" \
2025-10-10T00:53:29.3115162Z     --dry-run
2025-10-10T00:53:29.3115326Z else
2025-10-10T00:53:29.3115549Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-10-10T00:53:29.3115869Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-10-10T00:53:29.3116119Z     --metadata "${BENCHMARK_METADATA}" \
2025-10-10T00:53:29.3116334Z     --runners "${RUNNER_INFO}" \
2025-10-10T00:53:29.3116534Z     --dependencies "${DEPENDENCIES}"
2025-10-10T00:53:29.3116729Z fi
2025-10-10T00:53:29.3120263Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:29.3120493Z env:
2025-10-10T00:53:29.3120633Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:29.3120909Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:29.3121196Z   DEVICE_NAME: 
2025-10-10T00:53:29.3121350Z   DEVICE_TYPE: 
2025-10-10T00:53:29.3121520Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-10-10T00:53:29.3121767Z   DRY_RUN: false
2025-10-10T00:53:29.3122520Z   BENCHMARK_METADATA: {"timestamp": 1760057609, "schema_version": "v3", "name": "inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "344e6365a0068c2d2847fcec0c55dd53291d475e", "workflow_id": 18392306145, "run_attempt": 1, "job_id": 52406535456}
2025-10-10T00:53:29.3123492Z   RUNNER_INFO: [{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-43-101.ec2.internal"}, "name": "", "type": ""}]
2025-10-10T00:53:29.3123848Z   DEPENDENCIES: {}
2025-10-10T00:53:29.3124004Z ##[endgroup]
2025-10-10T00:53:29.3140120Z + [[ -n '' ]]
2025-10-10T00:53:29.3140298Z + [[ ! -d test/test-reports ]]
2025-10-10T00:53:29.3140487Z + [[ false == \t\r\u\e ]]
2025-10-10T00:53:29.3142094Z + 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": 1760057609, "schema_version": "v3", "name": "inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "344e6365a0068c2d2847fcec0c55dd53291d475e", "workflow_id": 18392306145, "run_attempt": 1, "job_id": 52406535456}' --runners '[{"cpu_info": "x86_64", "cpu_count": 96, "avail_mem_in_gb": 188, "extra_info": {"hostname": "ip-10-0-43-101.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-10-10T00:53:29.4083044Z INFO:root:Upload test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.json
2025-10-10T00:53:29.4259028Z INFO:botocore.credentials:Found credentials from IAM Role: gh-ci-github-action-runners-runner-role
2025-10-10T00:53:29.5479427Z INFO:root:Upload test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:29.6105104Z INFO:root:Upload test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.json
2025-10-10T00:53:29.6797523Z INFO:root:Upload test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:29.7496824Z INFO:root:Upload test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.json
2025-10-10T00:53:29.8132909Z INFO:root:Upload test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:29.8808462Z INFO:root:Upload test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.json
2025-10-10T00:53:29.9951708Z INFO:root:Upload test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:30.1357274Z INFO:root:Upload test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.json
2025-10-10T00:53:30.2415978Z INFO:root:Upload test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:30.3127011Z INFO:root:Upload test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.json
2025-10-10T00:53:30.3825790Z INFO:root:Upload test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:30.4932423Z INFO:root:Upload test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.json
2025-10-10T00:53:30.5599765Z INFO:root:Upload test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:30.6247772Z INFO:root:Upload test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.json
2025-10-10T00:53:30.7271904Z INFO:root:Upload test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:30.8133458Z INFO:root:Upload test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.json
2025-10-10T00:53:30.8985301Z INFO:root:Upload test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:30.9376805Z INFO:root:Upload test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.json
2025-10-10T00:53:30.9969693Z INFO:root:Upload test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:31.0440825Z INFO:root:Upload test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.json
2025-10-10T00:53:31.1168656Z INFO:root:Upload test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:31.1765160Z INFO:root:Upload test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_llama_inductor_amp_static_cpu_smoketest.json
2025-10-10T00:53:31.4851686Z INFO:root:Upload test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:31.5532761Z INFO:root:Upload test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.json
2025-10-10T00:53:31.6518044Z INFO:root:Upload test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:31.6958587Z INFO:root:Upload test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.json
2025-10-10T00:53:31.7705349Z INFO:root:Upload test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json to s3://ossci-benchmarks/v3/pytorch/pytorch/18392306145/52406535456/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json
2025-10-10T00:53:31.8954981Z ##[group]Run cat test/**/*_toprint.log || true
2025-10-10T00:53:31.8955226Z cat test/**/*_toprint.log || true
2025-10-10T00:53:31.8959640Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:31.8959880Z env:
2025-10-10T00:53:31.8960029Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:31.8960314Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:31.8960591Z   DEVICE_NAME: 
2025-10-10T00:53:31.8960740Z   DEVICE_TYPE: 
2025-10-10T00:53:31.8960887Z ##[endgroup]
2025-10-10T00:53:31.9025062Z cat: 'test/**/*_toprint.log': No such file or directory
2025-10-10T00:53:31.9046708Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-10-10T00:53:31.9046942Z kill "$MONITOR_SCRIPT_PID"
2025-10-10T00:53:31.9050317Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:31.9050553Z env:
2025-10-10T00:53:31.9050699Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:31.9050977Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:31.9051260Z   DEVICE_NAME: 
2025-10-10T00:53:31.9051416Z   DEVICE_TYPE: 
2025-10-10T00:53:31.9051569Z   MONITOR_SCRIPT_PID: 57883
2025-10-10T00:53:31.9051737Z ##[endgroup]
2025-10-10T00:53:31.9132018Z Prepare all required actions
2025-10-10T00:53:31.9132308Z Getting action download info
2025-10-10T00:53:32.0696356Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-10-10T00:53:32.2509201Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-10-10T00:53:32.6179192Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-10-10T00:53:32.6179449Z with:
2025-10-10T00:53:32.6179758Z   file-suffix: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456
2025-10-10T00:53:32.6180171Z   s3-bucket: gha-artifacts
2025-10-10T00:53:32.6180351Z env:
2025-10-10T00:53:32.6180495Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:32.6180796Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:32.6181105Z   DEVICE_NAME: 
2025-10-10T00:53:32.6181262Z   DEVICE_TYPE: 
2025-10-10T00:53:32.6181414Z ##[endgroup]
2025-10-10T00:53:32.6201983Z ##[group]Run # Remove any previous test jsons if they exist
2025-10-10T00:53:32.6202279Z # Remove any previous test jsons if they exist
2025-10-10T00:53:32.6202516Z rm -f test-jsons-*.zip
2025-10-10T00:53:32.6202784Z zip -r "test-jsons-${FILE_SUFFIX}.zip" test/test-reports -i '*.json'
2025-10-10T00:53:32.6206303Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:32.6206530Z env:
2025-10-10T00:53:32.6206669Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:32.6206944Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:32.6207242Z   DEVICE_NAME: 
2025-10-10T00:53:32.6207395Z   DEVICE_TYPE: 
2025-10-10T00:53:32.6207679Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456
2025-10-10T00:53:32.6207968Z ##[endgroup]
2025-10-10T00:53:32.6307004Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6311227Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6313572Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6317910Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6320236Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6324549Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6326888Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6331156Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6333470Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6337792Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6340184Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6344557Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6346921Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6350387Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6352526Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6355835Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6358138Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6361293Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6363514Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6367884Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6370172Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6374864Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6377143Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6381355Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6383644Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6387992Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6390339Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.json (deflated 96%)
2025-10-10T00:53:32.6393589Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.json (deflated 97%)
2025-10-10T00:53:32.6416224Z ##[group]Run # Remove any previous test reports if they exist
2025-10-10T00:53:32.6416515Z # Remove any previous test reports if they exist
2025-10-10T00:53:32.6416758Z rm -f test-reports-*.zip
2025-10-10T00:53:32.6417052Z zip -r "test-reports-${FILE_SUFFIX}.zip" test/test-reports -i '*.xml' -i '*.csv'
2025-10-10T00:53:32.6420869Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:32.6421105Z env:
2025-10-10T00:53:32.6421254Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:32.6421534Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:32.6421818Z   DEVICE_NAME: 
2025-10-10T00:53:32.6421971Z   DEVICE_TYPE: 
2025-10-10T00:53:32.6422286Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456
2025-10-10T00:53:32.6422593Z ##[endgroup]
2025-10-10T00:53:32.6481764Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest.csv (deflated 39%)
2025-10-10T00:53:32.6482364Z   adding: test/test-reports/inductor_inference_phlippe_densenet_inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-10-10T00:53:32.6482933Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-10-10T00:53:32.6483518Z   adding: test/test-reports/inductor_inference_basic_gnn_edgecnn_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-10-10T00:53:32.6484087Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-10-10T00:53:32.6484736Z   adding: test/test-reports/inductor_inference_llama_v2_7b_16h_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-10-10T00:53:32.6485290Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-10-10T00:53:32.6485843Z   adding: test/test-reports/inductor_inference_resnet50_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-10-10T00:53:32.6486396Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest.csv (deflated 38%)
2025-10-10T00:53:32.6486976Z   adding: test/test-reports/inductor_inference_mobilenet_v3_large_inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-10-10T00:53:32.6487620Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest.csv (deflated 38%)
2025-10-10T00:53:32.6488262Z   adding: test/test-reports/inductor_inference_functorch_maml_omniglot_inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 46%)
2025-10-10T00:53:32.6488972Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest.csv (deflated 39%)
2025-10-10T00:53:32.6489635Z   adding: test/test-reports/inductor_inference_yolov3_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-10-10T00:53:32.6490266Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest.csv (deflated 40%)
2025-10-10T00:53:32.6490913Z   adding: test/test-reports/inductor_inference_mobilenet_v2_export-aot-inductor_float32_static_cpu_smoketest_compilation_metrics.csv (deflated 44%)
2025-10-10T00:53:32.6491549Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest.csv (deflated 39%)
2025-10-10T00:53:32.6492326Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_export-aot-inductor_float32_dynamic_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-10-10T00:53:32.6492941Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-10-10T00:53:32.6493495Z   adding: test/test-reports/inductor_inference_resnext50_32x4d_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-10-10T00:53:32.6494043Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-10-10T00:53:32.6494549Z   adding: test/test-reports/inductor_inference_vgg16_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-10-10T00:53:32.6495068Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-10-10T00:53:32.6495575Z   adding: test/test-reports/inductor_inference_llama_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-10-10T00:53:32.6496110Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest.csv (deflated 38%)
2025-10-10T00:53:32.6496644Z   adding: test/test-reports/inductor_inference_mnasnet1_0_inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 45%)
2025-10-10T00:53:32.6497197Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest.csv (deflated 39%)
2025-10-10T00:53:32.6497767Z   adding: test/test-reports/inductor_inference_densenet121_export-aot-inductor_amp_static_cpu_smoketest_compilation_metrics.csv (deflated 43%)
2025-10-10T00:53:32.6515386Z ##[group]Run # Remove any previous usage logs if they exist
2025-10-10T00:53:32.6515680Z # Remove any previous usage logs if they exist
2025-10-10T00:53:32.6515921Z rm -f logs-*.zip
2025-10-10T00:53:32.6516150Z zip "logs-${FILE_SUFFIX}.zip" 'usage_log.txt' || true
2025-10-10T00:53:32.6516453Z zip -r "logs-${FILE_SUFFIX}.zip" test/test-reports -i '*.log' || true
2025-10-10T00:53:32.6519930Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:32.6520247Z env:
2025-10-10T00:53:32.6520403Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:32.6520690Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:32.6520992Z   DEVICE_NAME: 
2025-10-10T00:53:32.6521148Z   DEVICE_TYPE: 
2025-10-10T00:53:32.6521440Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456
2025-10-10T00:53:32.6521755Z ##[endgroup]
2025-10-10T00:53:32.6559909Z   adding: usage_log.txt (deflated 94%)
2025-10-10T00:53:32.6568212Z 
2025-10-10T00:53:32.6568463Z zip error: Nothing to do! (logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456.zip)
2025-10-10T00:53:32.6587498Z ##[group]Run # Remove any previous debugging artifacts if they exist
2025-10-10T00:53:32.6587831Z # Remove any previous debugging artifacts if they exist
2025-10-10T00:53:32.6588086Z rm -f debug-*.zip
2025-10-10T00:53:32.6588279Z if [ -d 'test/debug' ]; then
2025-10-10T00:53:32.6588568Z   zip -r "debug-${FILE_SUFFIX}.zip" test/debug
2025-10-10T00:53:32.6588786Z fi
2025-10-10T00:53:32.6592443Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:32.6592686Z env:
2025-10-10T00:53:32.6592840Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:32.6593137Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:32.6593435Z   DEVICE_NAME: 
2025-10-10T00:53:32.6593596Z   DEVICE_TYPE: 
2025-10-10T00:53:32.6593885Z   FILE_SUFFIX: test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456
2025-10-10T00:53:32.6594217Z ##[endgroup]
2025-10-10T00:53:32.6674280Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T00:53:32.6674486Z with:
2025-10-10T00:53:32.6674642Z   s3-bucket: gha-artifacts
2025-10-10T00:53:32.6674850Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T00:53:32.6675063Z   retention-days: 14
2025-10-10T00:53:32.6675228Z   if-no-files-found: warn
2025-10-10T00:53:32.6675410Z   path: test-jsons-*.zip
2025-10-10T00:53:32.6675575Z   name: artifact
2025-10-10T00:53:32.6675726Z   region: us-east-1
2025-10-10T00:53:32.6675869Z env:
2025-10-10T00:53:32.6676015Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:32.6676297Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:32.6676610Z   DEVICE_NAME: 
2025-10-10T00:53:32.6676753Z   DEVICE_TYPE: 
2025-10-10T00:53:32.6676897Z ##[endgroup]
2025-10-10T00:53:32.9080750Z NOTE: s3-prefix specified, ignoring name parameter
2025-10-10T00:53:32.9081053Z With the provided path, there will be 1 file uploaded
2025-10-10T00:53:32.9081347Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact
2025-10-10T00:53:32.9110623Z Starting upload of test-jsons-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456.zip
2025-10-10T00:53:33.0856294Z Finished upload of test-jsons-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456.zip
2025-10-10T00:53:33.0994063Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T00:53:33.0994262Z with:
2025-10-10T00:53:33.0994419Z   s3-bucket: gha-artifacts
2025-10-10T00:53:33.0994626Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T00:53:33.0994839Z   retention-days: 14
2025-10-10T00:53:33.0995005Z   if-no-files-found: error
2025-10-10T00:53:33.0995171Z   path: test-reports-*.zip
2025-10-10T00:53:33.0995334Z   name: artifact
2025-10-10T00:53:33.0995484Z   region: us-east-1
2025-10-10T00:53:33.0995621Z env:
2025-10-10T00:53:33.0995760Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:33.0996047Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:33.0996334Z   DEVICE_NAME: 
2025-10-10T00:53:33.0996484Z   DEVICE_TYPE: 
2025-10-10T00:53:33.0996621Z ##[endgroup]
2025-10-10T00:53:33.3276127Z NOTE: s3-prefix specified, ignoring name parameter
2025-10-10T00:53:33.3276439Z With the provided path, there will be 1 file uploaded
2025-10-10T00:53:33.3277000Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact
2025-10-10T00:53:33.3305183Z Starting upload of test-reports-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456.zip
2025-10-10T00:53:33.4256460Z Finished upload of test-reports-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456.zip
2025-10-10T00:53:33.4379908Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T00:53:33.4380110Z with:
2025-10-10T00:53:33.4380267Z   s3-bucket: gha-artifacts
2025-10-10T00:53:33.4380480Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T00:53:33.4380763Z   retention-days: 14
2025-10-10T00:53:33.4380920Z   if-no-files-found: ignore
2025-10-10T00:53:33.4381093Z   path: logs-*.zip
2025-10-10T00:53:33.4381248Z   name: artifact
2025-10-10T00:53:33.4381396Z   region: us-east-1
2025-10-10T00:53:33.4381535Z env:
2025-10-10T00:53:33.4381678Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:33.4381967Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:33.4382304Z   DEVICE_NAME: 
2025-10-10T00:53:33.4382443Z   DEVICE_TYPE: 
2025-10-10T00:53:33.4382590Z ##[endgroup]
2025-10-10T00:53:33.6614912Z NOTE: s3-prefix specified, ignoring name parameter
2025-10-10T00:53:33.6615222Z With the provided path, there will be 1 file uploaded
2025-10-10T00:53:33.6615501Z Uploading to s3 prefix: pytorch/pytorch/18392306145/1/artifact
2025-10-10T00:53:33.6643727Z Starting upload of logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456.zip
2025-10-10T00:53:33.7664855Z Finished upload of logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456.zip
2025-10-10T00:53:33.7791410Z ##[group]Run seemethere/upload-artifact-s3@v5
2025-10-10T00:53:33.7791619Z with:
2025-10-10T00:53:33.7791773Z   s3-bucket: gha-artifacts
2025-10-10T00:53:33.7791983Z   s3-prefix: pytorch/pytorch/18392306145/1/artifact

2025-10-10T00:53:33.7792202Z   retention-days: 14
2025-10-10T00:53:33.7792383Z   if-no-files-found: ignore
2025-10-10T00:53:33.7792561Z   path: debug-*.zip
2025-10-10T00:53:33.7792715Z   name: artifact
2025-10-10T00:53:33.7792882Z   region: us-east-1
2025-10-10T00:53:33.7793029Z env:
2025-10-10T00:53:33.7793172Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:33.7793449Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:33.7793735Z   DEVICE_NAME: 
2025-10-10T00:53:33.7793880Z   DEVICE_TYPE: 
2025-10-10T00:53:33.7794024Z ##[endgroup]
2025-10-10T00:53:33.9927231Z No files were found with the provided path: debug-*.zip. No artifacts will be uploaded.
2025-10-10T00:53:34.0052802Z ##[group]Run # shellcheck disable=SC2156
2025-10-10T00:53:34.0053057Z # shellcheck disable=SC2156
2025-10-10T00:53:34.0053397Z find . -iname "core.[1-9]*" -exec docker exec "${DOCKER_CONTAINER_ID}" sh -c "gdb python {} -ex 'bt' -ex 'q'" \;
2025-10-10T00:53:34.0057904Z shell: /usr/bin/bash -e {0}
2025-10-10T00:53:34.0058094Z env:
2025-10-10T00:53:34.0058241Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:34.0058537Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:34.0058824Z   DEVICE_NAME: 
2025-10-10T00:53:34.0058975Z   DEVICE_TYPE: 
2025-10-10T00:53:34.0059120Z ##[endgroup]
2025-10-10T00:53:34.1744358Z Prepare all required actions
2025-10-10T00:53:34.1744645Z Getting action download info
2025-10-10T00:53:34.3080688Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-10-10T00:53:34.3080910Z with:
2025-10-10T00:53:34.3081060Z   job_id: 52406535456
2025-10-10T00:53:34.3081363Z   job_name: inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:53:34.3081693Z   workflow_name: inductor
2025-10-10T00:53:34.3081860Z   workflow_run_id: 18392306145
2025-10-10T00:53:34.3082038Z   workflow_attempt: 1
2025-10-10T00:53:34.3082189Z env:
2025-10-10T00:53:34.3082330Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:34.3082609Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:34.3082896Z   DEVICE_NAME: 
2025-10-10T00:53:34.3083043Z   DEVICE_TYPE: 
2025-10-10T00:53:34.3083187Z ##[endgroup]
2025-10-10T00:53:34.3099627Z ##[group]Run echo "workflow_id: 18392306145"
2025-10-10T00:53:34.3099876Z echo "workflow_id: 18392306145"
2025-10-10T00:53:34.3100083Z echo "workflow_attempt: 1"
2025-10-10T00:53:34.3100276Z echo "workflow_Name: inductor"
2025-10-10T00:53:34.3100471Z echo "job_id: 52406535456"
2025-10-10T00:53:34.3100815Z echo "job_name:  inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)"
2025-10-10T00:53:34.3101219Z echo "artifact_prefix: "
2025-10-10T00:53:34.3101411Z python3 --version
2025-10-10T00:53:34.3105550Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:34.3105812Z env:
2025-10-10T00:53:34.3105987Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:34.3106363Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:34.3106683Z   DEVICE_NAME: 
2025-10-10T00:53:34.3106837Z   DEVICE_TYPE: 
2025-10-10T00:53:34.3106988Z ##[endgroup]
2025-10-10T00:53:34.3123670Z workflow_id: 18392306145
2025-10-10T00:53:34.3123916Z workflow_attempt: 1
2025-10-10T00:53:34.3124091Z workflow_Name: inductor
2025-10-10T00:53:34.3124260Z job_id: 52406535456
2025-10-10T00:53:34.3124585Z job_name:  inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)
2025-10-10T00:53:34.3124909Z artifact_prefix: 
2025-10-10T00:53:34.3132559Z Python 3.9.23
2025-10-10T00:53:34.3164635Z ##[group]Run nick-fields/retry@v3.0.0
2025-10-10T00:53:34.3164844Z with:
2025-10-10T00:53:34.3164979Z   shell: bash
2025-10-10T00:53:34.3165135Z   timeout_minutes: 5
2025-10-10T00:53:34.3165298Z   max_attempts: 5
2025-10-10T00:53:34.3165457Z   retry_wait_seconds: 30
2025-10-10T00:53:34.3165779Z   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

2025-10-10T00:53:34.3166127Z   polling_interval_seconds: 1
2025-10-10T00:53:34.3166305Z   warning_on_retry: true
2025-10-10T00:53:34.3166471Z   continue_on_error: false
2025-10-10T00:53:34.3166630Z env:
2025-10-10T00:53:34.3166776Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:34.3167055Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:34.3167343Z   DEVICE_NAME: 
2025-10-10T00:53:34.3167490Z   DEVICE_TYPE: 
2025-10-10T00:53:34.3167628Z ##[endgroup]
2025-10-10T00:53:34.5463252Z Defaulting to user installation because normal site-packages is not writeable
2025-10-10T00:53:34.6045661Z Collecting python-dateutil==2.8.2
2025-10-10T00:53:34.6181811Z   Downloading python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-10-10T00:53:35.2506588Z Collecting boto3==1.35.42
2025-10-10T00:53:35.2543429Z   Downloading boto3-1.35.42-py3-none-any.whl (139 kB)
2025-10-10T00:53:35.5982548Z Collecting pandas==2.1.3
2025-10-10T00:53:35.6027113Z   Downloading pandas-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (12.3 MB)
2025-10-10T00:53:35.7987647Z Requirement already satisfied: dataclasses_json==0.6.7 in /home/ec2-user/.local/lib/python3.9/site-packages (0.6.7)
2025-10-10T00:53:35.7995394Z Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil==2.8.2) (1.15.0)
2025-10-10T00:53:35.8025293Z 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)
2025-10-10T00:53:35.8029031Z 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)
2025-10-10T00:53:35.8031431Z 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)
2025-10-10T00:53:35.8455784Z Requirement already satisfied: pytz>=2020.1 in /usr/lib/python3.9/site-packages (from pandas==2.1.3) (2022.7.1)
2025-10-10T00:53:36.3824783Z Collecting numpy<2,>=1.22.4
2025-10-10T00:53:36.3860761Z   Downloading numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (18.2 MB)
2025-10-10T00:53:36.5461415Z Collecting tzdata>=2022.1
2025-10-10T00:53:36.5495284Z   Downloading tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-10-10T00:53:36.5586611Z 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)
2025-10-10T00:53:36.5589322Z 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)
2025-10-10T00:53:36.5627755Z 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)
2025-10-10T00:53:36.5701323Z 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)
2025-10-10T00:53:36.5770376Z 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)
2025-10-10T00:53:36.5774506Z 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)
2025-10-10T00:53:36.7124220Z Installing collected packages: python-dateutil, tzdata, numpy, pandas, boto3
2025-10-10T00:53:40.2177052Z   Attempting uninstall: boto3
2025-10-10T00:53:40.2177375Z     Found existing installation: boto3 1.35.33
2025-10-10T00:53:40.2234415Z     Uninstalling boto3-1.35.33:
2025-10-10T00:53:40.2242605Z       Successfully uninstalled boto3-1.35.33
2025-10-10T00:53:40.2615653Z Successfully installed boto3-1.35.42 numpy-1.26.4 pandas-2.1.3 python-dateutil-2.8.2 tzdata-2025.2
2025-10-10T00:53:40.3759855Z Command completed after 1 attempt(s).
2025-10-10T00:53:40.3807009Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-10-10T00:53:40.3807415Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-10-10T00:53:40.3807729Z   --workflow-run-id "18392306145" \
2025-10-10T00:53:40.3807944Z   --workflow-name "inductor" \
2025-10-10T00:53:40.3808154Z   --workflow-run-attempt "1" \
2025-10-10T00:53:40.3808342Z   --job-id "52406535456" \
2025-10-10T00:53:40.3808686Z   --job-name "inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)" \
2025-10-10T00:53:40.3809040Z   --local-path "" \
2025-10-10T00:53:40.3809230Z   --artifact-prefix ""
2025-10-10T00:53:40.3814568Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:40.3814800Z env:
2025-10-10T00:53:40.3814950Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:40.3815243Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:40.3815523Z   DEVICE_NAME: 
2025-10-10T00:53:40.3815680Z   DEVICE_TYPE: 
2025-10-10T00:53:40.3815831Z ##[endgroup]
2025-10-10T00:53:41.2280324Z repo: pytorch/pytorch
2025-10-10T00:53:41.2280981Z Search for test log in s3 bucket: ossci-utilization
2025-10-10T00:53:41.2281480Z Downloading logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456.zip
2025-10-10T00:53:41.2282001Z extracting usage_log.txt from zip file logs-test-inductor_torchbench_cpu_smoketest_perf-1-1-linux.24xl.spr-metal_52406535456.zip
2025-10-10T00:53:41.2282409Z Converted Log Model: UtilizationMetadata:
2025-10-10T00:53:41.2283193Z  UtilizationMetadata(level='metadata', workflow_id='18392306145', job_id='52406535456', workflow_name='inductor', job_name='inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1760056930, gpu_count=0, cpu_count=96, gpu_type=None, error=None)
2025-10-10T00:53:41.2284004Z [Db Segments] detected pytest cmd: 25, generated segments: 25
2025-10-10T00:53:41.2284248Z [db model] Peek db timeseries 
2025-10-10T00:53:41.2284410Z :{
2025-10-10T00:53:41.2284556Z     "created_at": 1760057621,
2025-10-10T00:53:41.2284734Z     "type": "utilization",
2025-10-10T00:53:41.2284899Z     "tags": [
2025-10-10T00:53:41.2285035Z         "record"
2025-10-10T00:53:41.2285180Z     ],
2025-10-10T00:53:41.2285322Z     "time_stamp": 1760056930,
2025-10-10T00:53:41.2285488Z     "repo": "pytorch/pytorch",
2025-10-10T00:53:41.2285730Z     "workflow_id": 18392306145,
2025-10-10T00:53:41.2285905Z     "run_attempt": 1,
2025-10-10T00:53:41.2286065Z     "job_id": 52406535456,
2025-10-10T00:53:41.2286231Z     "workflow_name": "inductor",
2025-10-10T00:53:41.2286551Z     "job_name": "inductor-cpu-test / test (inductor_torchbench_cpu_smoketest_perf, 1, 1, linux.24xl.spr-metal)",
2025-10-10T00:53:41.2286867Z     "json_data": "{}"
2025-10-10T00:53:41.2287062Z }
2025-10-10T00:53:41.2287354Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/18392306145/1/52406535456/metadata
2025-10-10T00:53:41.2287847Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/18392306145/1/52406535456/metadata 
2025-10-10T00:53:41.2288356Z Writing 132 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/18392306145/1/52406535456/time_series
2025-10-10T00:53:41.2288874Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/18392306145/1/52406535456/time_series 
2025-10-10T00:53:41.3075106Z ##[group]Run pytorch/test-infra/.github/actions/teardown-linux@main
2025-10-10T00:53:41.3075459Z with:
2025-10-10T00:53:41.3075651Z env:
2025-10-10T00:53:41.3075839Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:41.3076241Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:41.3076657Z   DEVICE_NAME: 
2025-10-10T00:53:41.3076867Z   DEVICE_TYPE: 
2025-10-10T00:53:41.3077062Z ##[endgroup]
2025-10-10T00:53:41.3099112Z ##[group]Run set -eou pipefail
2025-10-10T00:53:41.3099433Z set -eou pipefail
2025-10-10T00:53:41.3099642Z 
2025-10-10T00:53:41.3099922Z echo "Holding runner for 2 hours until all ssh sessions have logged out"
2025-10-10T00:53:41.3100266Z for _ in $(seq 1440); do
2025-10-10T00:53:41.3100526Z     # Break if no ssh session exists anymore
2025-10-10T00:53:41.3100744Z     if [ "$(who)" = "" ]; then
2025-10-10T00:53:41.3100935Z       break
2025-10-10T00:53:41.3101123Z     fi
2025-10-10T00:53:41.3101280Z     echo "."
2025-10-10T00:53:41.3101431Z     sleep 5
2025-10-10T00:53:41.3101579Z done
2025-10-10T00:53:41.3106182Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:41.3106419Z env:
2025-10-10T00:53:41.3106561Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:41.3106848Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:41.3107141Z   DEVICE_NAME: 
2025-10-10T00:53:41.3107299Z   DEVICE_TYPE: 
2025-10-10T00:53:41.3107436Z ##[endgroup]
2025-10-10T00:53:41.3123670Z Holding runner for 2 hours until all ssh sessions have logged out
2025-10-10T00:53:41.3186765Z ##[group]Run # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T00:53:41.3187100Z # ignore expansion of "docker ps -q" since it could be empty
2025-10-10T00:53:41.3187353Z # shellcheck disable=SC2046
2025-10-10T00:53:41.3187583Z docker stop $(docker ps -q) || true
2025-10-10T00:53:41.3187791Z # Prune all of the docker images
2025-10-10T00:53:41.3187993Z docker system prune -af
2025-10-10T00:53:41.3193462Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:41.3193693Z env:
2025-10-10T00:53:41.3193836Z   GIT_DEFAULT_BRANCH: main
2025-10-10T00:53:41.3194140Z   DOCKER_CONTAINER_ID: 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:41.3194439Z   DEVICE_NAME: 
2025-10-10T00:53:41.3194596Z   DEVICE_TYPE: 
2025-10-10T00:53:41.3194741Z ##[endgroup]
2025-10-10T00:53:52.1840063Z 21604e2569e0
2025-10-10T00:53:52.5376703Z Deleted Containers:
2025-10-10T00:53:52.5377011Z 21604e2569e00ccb255ce5d422fcf6da9e4984fea0908b7257a638d19fb70039
2025-10-10T00:53:52.5377215Z 
2025-10-10T00:53:58.8233067Z Deleted Images:
2025-10-10T00:53:58.8233735Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image:pytorch-linux-jammy-py3-gcc11-inductor-benchmarks-d8be0384e085f551506bd739678109fa0f5ee7ac
2025-10-10T00:53:58.8234789Z untagged: 308535385114.dkr.ecr.us-east-1.amazonaws.com/pytorch/ci-image@sha256:2e6e7297c9105722429dc16c6731f2c79bd9d6b81eb7a39feebebd90cfe1676f
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2025-10-10T00:53:58.8263627Z 
2025-10-10T00:53:58.8263712Z Total reclaimed space: 55.42GB
2025-10-10T00:53:58.8337157Z Post job cleanup.
2025-10-10T00:53:58.8376047Z Post job cleanup.
2025-10-10T00:53:58.9085870Z [command]/usr/bin/git version
2025-10-10T00:53:58.9115584Z git version 2.50.1
2025-10-10T00:53:58.9139645Z Copying '/home/ec2-user/.gitconfig' to '/home/ec2-user/actions-runner/_work/_temp/5f7f9e07-323c-4ff0-bff2-8248c9df35b1/.gitconfig'
2025-10-10T00:53:58.9145639Z Temporarily overriding HOME='/home/ec2-user/actions-runner/_work/_temp/5f7f9e07-323c-4ff0-bff2-8248c9df35b1' before making global git config changes
2025-10-10T00:53:58.9146196Z Adding repository directory to the temporary git global config as a safe directory
2025-10-10T00:53:58.9149129Z [command]/usr/bin/git config --global --add safe.directory /home/ec2-user/actions-runner/_work/pytorch/pytorch
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2025-10-10T00:53:59.3143409Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
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2025-10-10T00:53:59.7783204Z http.https://github.com/.extraheader
2025-10-10T00:53:59.7812808Z Entering 'third_party/tensorpipe'
2025-10-10T00:53:59.7842784Z http.https://github.com/.extraheader
2025-10-10T00:53:59.7870878Z Entering 'third_party/tensorpipe/third_party/googletest'
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2025-10-10T00:53:59.8035519Z Entering 'third_party/tensorpipe/third_party/pybind11'
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2025-10-10T00:53:59.8089524Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-10-10T00:53:59.8118468Z http.https://github.com/.extraheader
2025-10-10T00:53:59.8220153Z A job completed hook has been configured by the self-hosted runner administrator
2025-10-10T00:53:59.8244456Z ##[group]Run '/home/ec2-user/runner-scripts/after_job.sh'
2025-10-10T00:53:59.8247609Z shell: /usr/bin/bash --noprofile --norc -e -o pipefail {0}
2025-10-10T00:53:59.8247859Z ##[endgroup]
2025-10-10T00:53:59.8314589Z [!ALERT!] Swap in detected! [!ALERT!]
2025-10-10T00:54:07.0391546Z [!ALERT!] Swap out detected [!ALERT!]
2025-10-10T00:54:19.2305000Z Cleaning up orphan processes